<p><strong>Join us for a fascinating conversation with Dr. Subhoja Chakraborty from the University of Central Florida, whose cutting-edge research targets the global challenge of malaria drug resistance. Dr. Chakraborty shares her journey from structure-based drug design during her PhD to her recent collaborative work repurposing human kinase inhibitors as rapid, selective antimalarials against drug-resistant Plasmodium falciparum strains.</strong></p><h4><strong>In this episode, you'll learn:</strong></h4><ul><li>How structure-guided approaches reveal potential drug targets, including cysteine proteases like falcipain-2, and kinases implicated in malaria's complex life cycle.</li><li>The power of repurposing kinase inhibitors originally developed for cancer and other diseases, focusing on compound 12, which blocks hemozoin formation and protein kinase 6—key steps in parasite survival.</li><li>Lab techniques such as affinity, gel filtration, and size exclusion chromatography for recombinant protein purification—and how troubleshooting is crucial for high-yield, stable complexes.</li><li>Advances in mass spectrometry for characterizing protein interactions, validating drug targets, and mapping molecular pathways pivotal to malaria therapeutics.</li><li>Tips and lessons for new researchers facing the challenges of sample preparation, complex protocols, and working as part of a collaborative team.</li></ul><p>Dr. Chakraborty’s insights bridge the gap between basic science and translational drug discovery, offering hope for more effective, targeted malaria treatments in a world where resistance to frontline therapies threatens millions.</p><h4><strong>Referenced Papers:</strong></h4><ul><li>"Plasmodium falciparum protein kinase 6 and hemozoin formation are inhibited by a type II human kinase inhibitor exhibiting antimalarial activity" (Cell Chemical Biology, 2025)</li><li>"New insights of falcipain 2 structure from Plasmodium falciparum 3D7 strain" (BBRC, 2022)</li><li>"Structure-Based Optimization of Protease−Inhibitor Interactions to Enhance Specificity of Human Stefin‑A against Falcipain‑2 from the Plasmodium falciparum 3D7 Strain" (Biochemistry, 2023)</li></ul><p>If you’re a student, scientist, or simply passionate about advances in infectious disease research, this episode offers actionable insights, inspiring advice, and a front-row seat to innovation in combating malaria.</p><h3><strong>Video Transcription</strong></h3><h4><strong>From Structural Biology to Drug Discovery: Chromatography and Mass Spectrometry in Malaria Research</strong></h4><h5><strong>Introduction</strong></h5><p>In this discussion, Subhoja shares insights into her research journey, focusing on malaria drug discovery and the role of modern analytical techniques in biological and biomedical research. The conversation is aimed primarily at undergraduate students and early-career researchers interested in chemistry, biotechnology, and life sciences.</p><h5><strong>Research Focus: Malaria Drug Discovery and Kinase Targets</strong></h5><p>Subhoja is currently involved in malaria drug discovery research at the University of Central Florida, where she has been working since beginning her postdoctoral position two years ago. Her earlier PhD research focused on structure-based drug design in malaria, using a combination of in silico approaches, recombinant protein expression, and X-ray crystallography to determine precise three-dimensional structures of target proteins and their inhibitors.</p><p>This structural perspective provided a foundation for her current work, which centers on drug discovery through compound screening and repurposing. A recent publication from her laboratory explores the use of repurposed mammalian CDK-like kinase inhibitors as potential antimalarial agents. While such kinase inhibitors are well known in cancer and cardiovascular research, their application to malaria targets represents a novel and promising approach.</p><p>Kinases are attractive drug targets because of their central role in cell signaling and growth pathways. By targeting specific kinases involved in different stages of the malaria parasite life cycle—whether asexual growth, gametocytogenesis, or differentiation—it may be possible to significantly inhibit parasite growth and progression.</p><h5><strong>Chromatography in Protein Expression and Purification Workflows</strong></h5><p>Chromatography plays a critical role throughout Subhoja’s research. Her experience spans from basic chromatography techniques during her early training to advanced protein purification workflows using affinity chromatography, gel filtration (size exclusion chromatography), and ion exchange chromatography.</p><p>Recombinant proteins are routinely purified using affinity resins such as nickel or cobalt, followed by further purification to remove contaminants. Fast Protein Liquid Chromatography (FPLC) enables compact, stepwise purification workflows suitable for producing proteins for in vitro assays.</p><p>A recurring challenge in this process is the expression of high-molecular-weight proteins, which often accumulate in insoluble fractions or inclusion bodies. Careful selection of expression vectors, host systems, and induction conditions is therefore essential to maximize yield and solubility.</p><h5><strong>Integrating Size Exclusion Chromatography into the Workflow</strong></h5><p>Size exclusion chromatography (SEC) is typically used after affinity purification to further improve protein purity. Following elution with imidazole or glutathione, desalting is required to prevent buffer components from interfering with downstream assays. This is often achieved using desalting columns such as G-25 or PD-10.</p><p>To remove lower-molecular-weight contaminants, finer SEC media—such as Superdex or Sephacryl columns—are employed. Concentration steps using molecular-weight cut-off filters are then applied to obtain the desired protein concentration for functional studies.</p><p>These iterative purification and troubleshooting steps are a routine part of protein biochemistry and reflect the importance of methodical optimization and careful validation.</p><h5><strong>The Role of Mass Spectrometry in Biomolecular Characterization</strong></h5><p>Mass spectrometry is a key analytical tool in Subhoja’s research pipeline, particularly for target identification and validation. In both malaria and cancer research, MS is used alongside chromatography, immunoprecipitation, and pull-down assays to study protein interactions and molecular recognition events.</p><p>Affinity-based mass spectrometry enables the identification of binding partners and interactors, whether studying proteins, long non-coding RNAs, or protein complexes. Techniques such as native MS, tandem affinity purification, and proximity labeling (e.g., TurboID-based workflows) provide deeper insights into molecular networks and signaling pathways.</p><p>These approaches are essential for understanding how candidate drug targets function within complex biological systems.</p><h5><strong>Sample Preparation Challenges in Biological Research</strong></h5><p>Sample preparation remains one of the most challenging aspects of biological experimentation. Whole-cell lysates contain proteases, nucleases, and other components that can rapidly degrade target molecules. Preventing degradation requires minimizing preparation time, maintaining low temperatures, and using appropriate inhibitor cocktails.</p><p>Reproducibility is also critical: biological experiments require multiple replicates, and variability is often unavoidable. Careful handling, protocol optimization, and continuous troubleshooting are essential to ensure reliable results, whether preparing samples for chromatography, mass spectrometry, sequencing, or immunoprecipitation.</p><h5><strong>Advances in Chromatography and MS for Malaria Research</strong></h5><p>Modern advances in chromatography and mass spectrometry significantly enhance malaria research by enabling precise target identification, quantification, and functional characterization. Drug discovery workflows begin with construct design and recombinant expression, followed by purification and interaction studies.</p><p>In malaria research, stage-specific parasite biology requires careful extraction and analysis of proteins from different life cycle stages. Tandem affinity MS, immunoprecipitation, and in vivo validation studies help confirm target relevance and therapeutic potential.</p><p>Recent work on repurposed kinase inhibitors has shown promising results, including inhibition of hemozoin formation—a key detoxification pathway for the malaria parasite—highlighting the potential of such compounds for further development.</p><h5><strong>Malaria, Drug Resistance, and Global Impact</strong></h5><p>Malaria remains a major global health burden, with over 600,000 deaths annually and widespread drug resistance complicating treatment. Artemisinin resistance, particularly associated with mutations in the K13 propeller domain, has driven the search for new targets and therapies.</p><p>During her PhD, Subhoja focused on falcipain-2, a cysteine protease involved in hemoglobin degradation within the parasite. This pathway is critical for parasite survival and has emerged as a promising drug target. Her work revealed that falcipain-2 operates within a larger protein complex responsible for hemoglobin processing and amino acid release.</p><p>Understanding these molecular mechanisms is essential for developing robust, stage-specific antimalarial strategies.</p><h5><strong>Advice for Early-Career Researchers</strong></h5><p>For researchers just starting out, Subhoja emphasizes the importance of hands-on experience. Working directly with cells, lysates, and analytical tools is essential for truly understanding experimental systems. Failure is an inherent part of research, and perseverance is key.</p><p>Motivation, teamwork, careful sample handling, and thorough preparation all contribute to long-term success. Reading extensively, critically evaluating one’s own work, and appreciating incremental progress are vital aspects of a sustainable research career.</p><p>Every successful experiment—no matter how small—represents meaningful progress and contributes to the broader goals of science and medicine.</p><h5><strong>Closing Remarks</strong></h5><p>The discussion highlights how interdisciplinary approaches combining chromatography, mass spectrometry, structural biology, and biochemistry are driving advances in malaria drug discovery. Through careful experimental design, analytical rigor, and collaborative teamwork, researchers can address complex biological challenges and contribute to global health solutions.</p><blockquote><p><strong>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</strong></p></blockquote><blockquote><h4><strong>Concentrating on Chromatography Podcast</strong></h4><p>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!</p><p>You can find <strong>Concentrating on Chromatography Podcast </strong>in podcast apps:</p><ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL"><strong>Spotify</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185"><strong>Apple podcast</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography"><strong>podscan</strong></a></li></ul><p>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos"><strong>YouTube channel</strong></a></p></blockquote>

Affinity, Gel Filtration, Size Exclusion Chromatography: Repurposing Kinase Inhibitors for Malaria

<p><strong>In the week of February 9, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. SelectScience: High-Throughput Stability Screening Strategies for Antibody Formulation</strong></h5><ul><li>Tu, 10.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5807">Registration</a></li></ul><p>Learn how high-throughput DLS/SLS and rapid-screening DSC accelerate stability assessment of high-concentration antibody formulations, enabling faster, data-driven biologics development.</p><h5><strong>2. Phenomenex: Big Scale, Big Wins – Prep Chromatography Explained</strong></h5><ul><li>We, 11.2.2026 10:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5793">Registration</a></li></ul><p>Learn how to scale analytical methods to preparative HPLC, optimize loading capacity, and understand the limits of preparative columns for pharmaceutical applications.</p><h5><strong>3. ALS Czech Republic: PFAS in Food &amp; Food Contact Material</strong></h5><ul><li>We, 11.2.2026 15:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5816">Registration</a></li></ul><p>Get a practical overview of PFAS in food and food contact materials, including EU and US regulations, key analytical challenges, and reliable PFAS testing strategies.</p><h5><strong>4. New Food Magazine: The Science of Next-Gen Ingredients – Fermentation, Formulation and Function</strong></h5><ul><li>We, 11.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5720">Registration</a></li></ul><p>Explore how fermentation-driven innovation is transforming functional food ingredients and how advanced analytics optimize flavour, functionality, and stability.</p><h5><strong>5. SCIEX: Accurate Mass Fundamentals – Interpreting and Applying Your Data</strong></h5><ul><li>We, 11.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5772">Registration</a></li></ul><p>Session 3 focuses on interpreting and applying accurate mass data to confirm compound identity, move beyond basic quantitation, and troubleshoot results for confident reporting.</p><h5><strong>6. Agilent Technologies: Process Analytical Techniques – Online HPLC for Real-Time Monitoring and Control of Bioprocesses</strong></h5><ul><li>Th, 12.2.2026 06:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5834">Registration</a></li></ul><p>Discover how PAT HPLC enables near-real-time monitoring of critical quality attributes in bioprocessing, with a case study on charge-variant control by cation-exchange chromatography.</p><h5><strong>7. Thermo Fisher Scientific: Introducing the Orbitrap Excedion Pro Hybrid MS</strong></h5><ul><li>Th, 12.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5889">Registration</a></li></ul><p>Discover the new Orbitrap Exploris Pro with expanded ETD/EThcD capabilities for confident biopharmaceutical characterization, including intact proteins, PTMs, ADCs, and large biomolecules.</p><h5><strong>8. Waters Corporation: Planning Your NuGenesis Upgrade – Insights and Best Practices for a Smooth Transition</strong></h5><ul><li>Th, 12.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5833">Registration</a></li></ul><p>Learn how to plan a successful NuGenesis upgrade, transition to Windows 11, and unlock new capabilities such as dashboards for real-time operational insights.</p><h5><strong>9. Thermo Fisher Scientific: Comprehensive Analytical Strategies for Peptide Therapeutics and GLP-1 Agonists with Agilent</strong></h5><ul><li>Th, 12.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5814">Registration</a></li></ul><p>Explore analytical workflows for peptide therapeutics, including method development, peptide mapping, GLP-1 QC, and LC-MS strategies across Agilent platforms.</p><h5><strong>10. Agilent Technologies: Moving from R&amp;D and Limited QC on a UV-Vis-NIR Instrument to Large-Scale QC Using an Autosampler</strong></h5><ul><li>Th, 12.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/2104">Registration</a></li></ul><p>This webinar covers practical aspects of adding and using an autosampler to maximize UV-Vis-NIR QC workflows at scale.</p><h5><strong>11. Agilent Technologies: LC Method Transfer – Hidden Challenges &amp; Absolute Solution</strong></h5><ul><li>Fr, 13.2.2026 06:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5787">Registration</a></li></ul><p>Discover why LC method transfer between legacy and modern systems is challenging, which hidden parameters affect retention and peak shape, and how to achieve robust, reliable results.</p>

Webinars LabRulezLCMS Week 07/2026

<p><strong>Charge detection mass spectrometry (CDMS) allows direct mass determination of individual ions and is increasingly used to study heterogeneous biological samples. This work demonstrates the use of Orbitrap-based CDMS/Direct Mass Technology (DMT) for quantitative analysis of transthyretin (TTR) tetramer samples below 100 kDa, extending CDMS beyond its traditional qualitative role.</strong></p><p>DMT resolved wild-type and C-terminally modified TTR homotetramers, as well as hybrid tetramers, enabling kinetic analysis of subunit exchange and stability. The approach also quantified thyroxine binding to TTR variants, revealing differences in binding affinity linked to C-terminal modification. By separating overlapping m/z signals through charge measurement, CDMS enables accurate mass and abundance determination, highlighting its potential for quantitative analysis of complex protein systems.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771"><strong>Dissecting Heterogeneous Populations of Protein-Complex Samples Using Direct Mass Technology</strong></a></h4><p>Robert L. Rider, Jared Hampton, Zhenyu Xi, Carter Lantz, Sangho D. Yun, Weijing Liu, Rosa Viner, Arthur Laganowsky, and David H. Russell*</p><p>Anal. Chem. 2025, 97, 49, 27057–27063</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05771">https://doi.org/10.1021/acs.analchem.5c05771</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>Transthyretin (TTR) is a homotetrameric transport protein that circulates in plasma and cerebrospinal fluid, delivering thyroxine (T<sub>4</sub>) and retinol-binding protein–vitamin A complexes. <a href="javascript:void(0);">(1)</a> The stability of the TTR tetramer is central to its physiological role because dissociation into monomers can initiate misfolding and amyloid formation, leading to systemic or hereditary transthyretin amyloidosis. <a href="javascript:void(0);">(2)</a> Subunit exchange between wild-type (WT) and variant TTR proteoforms, including disease-associated mutations such as V30M and V122I, have been implicated in amyloid progression by generating hybrid tetramers (tetramers containing WT and mutant subunits) with altered stabilities. <a href="javascript:void(0);">(3,4)</a> Ligand binding, particularly at the two thyroxine-binding sites located at the dimer–dimer interface, can kinetically stabilize the tetramer and modulate amyloidogenicity. <a href="javascript:void(0);">(5,6)</a> Accurate measurement of both subunit exchange kinetics and ligand binding stoichiometry is therefore critical for elucidating the TTR dynamics and stability.</p><p>Affinity or sequence tags are widely employed in protein expression, purification, or detection. <a href="javascript:void(0);">(7,8)</a> While these tags are often assumed to be inert, their influence on protein structure and dynamics are rarely examined in detail. <a href="javascript:void(0);">(9,10)</a> Protein tags at the N- and C-terminus of TTR have been shown to have differing gas phase stabilities from those of WT-TTR. <a href="javascript:void(0);">(11)</a> The C-terminus is of particular interest because this region participates in the dimer–dimer interface that governs tetramer stability. <a href="javascript:void(0);">(11,12)</a> Characterizing how the C-terminal tag (CT) (-ASGENLFYQ) affects TTR’s solution stability and ligand binding is not only relevant for understanding TTR dynamics but also provides an example of how expression tags can alter protein dynamics. <a href="javascript:void(0);">(13)</a></p><p>Native mass spectrometry (nMS) has been invaluable for characterizing protein complexes, <a href="javascript:void(0);">(14)</a> yet conventional nMS often struggles with heterogeneous samples where overlapping charge state distributions and adduct heterogeneity limit resolution and quantitation. <a href="javascript:void(0);">(15)</a> Charge detection mass spectrometry (CDMS) addresses these limitations by independently measuring the charge and <i>m</i>/<i>z</i> of individual ions, enabling the direct determination of molecular mass and abundance. Development of CDMS has largely focused on achieving higher mass resolution <a href="javascript:void(0);">(16)</a> and extending measurements toward assemblies into the GDa range. <a href="javascript:void(0);">(17,18)</a> However, there is untapped utility for CDMS experiments other than mass and proteoform determination. Jordan et al. showed the capability to assess conformational heterogeneity of mAb aggregates using the added charge dimension that CDMS provides. <a href="javascript:void(0);">(19)</a> The current work demonstrates that CDMS can separate proteoforms with overlapping <i>m</i>/<i>z</i> values based on charge and quantify their relative abundances in complex mixtures. While nMS is already a highly quantitative technique, our results establish CDMS as an equally powerful tool for quantitative analysis in heterogeneous systems. <a href="javascript:void(0);">(20,21)</a></p><p>Here, we apply Orbitrap-based CDMS/Direct Mass Technology (DMT) using the selective temporal overview of resonant ions (STORI) approach <a href="javascript:void(0);">(22,23)</a> to quantitatively compare WT-TTR and CT-TTR, focusing on two biologically relevant properties: tetramer stability assessed via subunit exchange kinetics and ligand-binding affinity. Conventional nMS cannot fully resolve the overlapping charge states of WT- and CT-TTR or their ligand-bound states. However, DMT can resolve these species by directly measuring the mass (<i>m</i>/<i>z</i> × charge), enabling quantitation of all proteoforms. The data reveal that the CT tag alters tetramer stability and thyroxine-binding affinity, demonstrating the structural sensitivity of TTR to modifications at its C-terminus. More broadly, this work demonstrates the impact that protein tags can have on native protein interactions and highlights the broader utility of quantitative CDMS for probing heterogeneous biological samples.</p><h4><strong>Experimental Section</strong></h4><h5><strong>Data Collection</strong></h5><p>All experiments were conducted on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/560"><strong>Thermo Scientific Q-Exactive UHMR</strong></a> with added DMT capabilities (Bremen, Germany). Before DMT, mass spectra were collected at various resolving powers (6–200k) for each sample, with the instrument parameters reported in the Supporting Information (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05771/suppl_file/ac5c05771_si_001.pdf">Table S1</a>). For DMT experiments, the trapping gas pressure in the HCD cell was reduced to 0.3–0.8 to attenuate the signal intensity to a single ion level, as well as decreasing the UHV pressure to assist ion retention through the entire transient of Orbitrap analysis. We observed no significant difference between mass spectra collected at various HCD cell pressures (Supporting Information, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05771/suppl_file/ac5c05771_si_001.pdf">Figure S1</a>). For DMT collection, automated ion control (AIC) and 100% target density were used with 200k resolving power.</p><h4><strong>Results and Discussion</strong></h4><p>CDMS has emerged as a powerful tool for analyzing heterogeneous biomolecular samples, enabling accurate, direct mass determination by simultaneously measuring the charge and <i>m</i>/<i>z</i> for individual ions. While CDMS has been widely applied for qualitative analyses, its potential for quantitative and less than MDa applications remains underexplored. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771#fig1">Figure 1</a>A shows the theoretical mass spectrum of WT-TTR (14+ to 16+) and CT-TTR (15+ to 17+) homotetramers, where the two proteoforms become increasingly resolved as the charge states increase (&lt;3900 <i>m</i>/<i>z</i>). <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771#fig1">Figure 1</a>B zooms in on the 14+ (WT) and 15+ (CT) charge states, highlighting their strong overlap, which prevents accurate deconvolution of the proteoforms by conventional methods. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771#fig1">Figure 1</a>C displays theoretical distributions for 0, 1, and 2 T<sub>4</sub> bound states of both WT- and CT-TTR tetramers, where &lt;3900 <i>m</i>/<i>z</i> has observable separation between all proteoforms. However, for the 14+ and 15+ charge states of WT- and CT-TTR, respectively, the 0 T<sub>4</sub>- and 1 T<sub>4</sub>-bound populations overlap (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771#fig1">Figure 1</a>D). Furthermore, commonly adducted species (Na<sup>+</sup>, K<sup>+</sup>, and Zn<sup>2+</sup>) observed in experimental spectra broaden these distributions, making it increasingly difficult to distinguish and deconvolute the proteoforms (see <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05771/suppl_file/ac5c05771_si_001.pdf">Figure S2</a>). Here, we employ Orbitrap-based CDMS/DMT to overcome this <i>m</i>/<i>z</i> overlap to resolve and quantify hybrid tetramer formation and T<sub>4</sub> binding.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2025_97_49_27057_27063_Figure_1_A_Theoretical_mass_spectra_of_WT_TTR_and_CT_TTR_homotetramers_47232849d9.jpg" alt="Anal. Chem. 2025, 97, 49, 27057–27063: Figure 1. (A) Theoretical mass spectra of WT-TTR and CT-TTR homotetramers. (B) Zoomed-in view of the 14+ WT-TTR and 15+ CT-TTR distributions to show the large overlap of the proteoforms. (C) Theoretical mass spectra of WT-TTR and CT-TTR homotetramers with thyroxine (T4) binding. (D) Zoomed-in view of the 14+ WT-TTR and 15+ CT-TTR distributions where the 0 and 1 T4 have overlapping distributions. These theoretical distributions do not contain any commonly adducted species (Na+, K+, Zn2+), which broaden the distributions and create more overlap even for the proteoforms in the range 3300–3900 m/z (see Figure S2)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2025_97_49_27057_27063_Figure_1_A_Theoretical_mass_spectra_of_WT_TTR_and_CT_TTR_homotetramers_47232849d9.jpg 187w," sizes="100vw" width="1417" height="1182"></p><h5><strong>Thyroxine Binding to TTR Homotetramers</strong></h5><p>Thyroxine is the less active form of a thyroid hormone important for metabolism that binds to TTR for transport throughout plasma and cerebral spinal fluid. <a href="javascript:void(0);">(31)</a> Turnover of T<sub>4</sub> into T<sub>3</sub> (active) occurs after dissociation, where it can then modulate gene expression via binding to nuclear receptors. <a href="javascript:void(0);">(32)</a> The TTR tetramer gains substantial stability as it binds up to 2 T<sub>4</sub> at the tetramer interface, decreasing tetramer dissociation and SUE. <a href="javascript:void(0);">(33)</a> This has been shown previously to decrease the amyloidogenic rate of TTR, which led to tafamidis (similar in structure to T<sub>4</sub>) to be designed and is currently the only drug that is approved for clinical treatment of TTR amyloidosis. <a href="javascript:void(0);">(34)</a> Measuring the difference in binding affinity between TTR proteoforms may provide insight into regions of TTR or TTR intermolecular/intramolecular interactions that are important for binding of small molecules such as tafamidis and T<sub>4</sub>.</p><p>DMT was further applied to quantify T<sub>4</sub> binding to WT- and CT-TTR homotetramers, highlighting the technique’s utility in probing protein–ligand interactions. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771#fig3">Figure 3</a>A shows a representative mass spectrum of TTR homotetramers in the presence of T<sub>4</sub>. While ligand-bound species can be observed, homotetramers cannot be confidently resolved across the entire 3000–5000 <i>m</i>/<i>z</i> range. By leveraging the charge-resolving capabilities of DMT, we achieve separation of the homotetramers (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05771#fig3">Figure 3</a>B,C) and the 0, 1, and 2 ligand-bound states. The 2D plot clearly shows the gain in resolution achieved when charge is simultaneously measured with <i>m</i>/<i>z</i> by separating the 14+ and 15+ charge states for WT and CT, respectively, in the range 3900–4200 <i>m</i>/<i>z</i>. Additionally, using ion mobility does not provide the same kind of 2D resolution due to the similarity in arrival times for the homotetramer proteoforms, as evidenced by <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05771/suppl_file/ac5c05771_si_001.pdf">Figures S4 and S5</a> (see the Supporting Information). These data provide evidence that when ion mobility is able to separate out species that overlap in <i>m</i>/<i>z</i> yet differ in mobility, CDMS could be an alternative or used complementarily since the species likely also differ in charge.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2025_97_49_27057_27063_Figure_3_A_Mass_spectra_of_WT_TTR_and_CT_TTR_homotetramers_with_thyroxine_binding_61b1e98a94.jpg" alt="Anal. Chem. 2025, 97, 49, 27057–27063: Figure 3. (A) Mass spectra of WT-TTR and CT-TTR homotetramers with thyroxine binding. Ligand binding can be resolved, but homotetramers cannot be confidently identified. Charge states labeled are for WT; CT is always one charge state higher at the same m/z range. (B) DMT heatmap resolving WT-TTR and CT-TTR homotetramers with the additional measurement of charge. (C) Deconvoluted mass spectrum from DMT analysis. Both homotetramers and their ligand binding are resolved, and fit for analysis is shown in red. (D) Mole fraction of each homotetramer and their thyroxine binding species. Error bars represent the standard deviation of replicates (n = 3). The significance for each ligand state is in respect to the left adjacent state. *p &lt; 0.05." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2025_97_49_27057_27063_Figure_3_A_Mass_spectra_of_WT_TTR_and_CT_TTR_homotetramers_with_thyroxine_binding_61b1e98a94.jpg 181w," sizes="100vw" width="1266" height="1094"></p><h4><strong>Conclusion</strong></h4><p>This work demonstrates that quantitatively, Orbitrap-based CDMS/DMT can determine differences in protein-complex stability and ligand binding. By directly comparing WT- with CT-TTR, we show that the CT tag accelerates tetramer dissociation while enhancing T<sub>4</sub> binding affinity. These results indicate that the C-terminus, located at the dimer–dimer interface, plays a more significant role in TTR stability and ligand recognition than previously appreciated. <a href="javascript:void(0);">(12)</a> Even the addition of a short peptide sequence perturbs noncovalent interactions at the interface, likely altering solvent accessibility, and the dynamics of the thyroxine binding channel. <a href="javascript:void(0);">(37,54)</a> Such findings underscore the importance of evaluating how seemingly minor sequence modifications, such as affinity tags, can influence fundamental biophysical properties.</p><p>Beyond TTR, this work positions quantitative CDMS as a broadly applicable strategy for analyzing heterogeneous protein systems, where charge domain separation overcomes the resolution limits of <i>m</i>/<i>z</i> domain measurements in traditional nMS experiments. While much of the field has emphasized extending CDMS to ultrahigh masses and maximal resolution, <a href="javascript:void(0);">(16,18)</a> our results highlight the underexplored potential of applying the method in the 1000–10,000 <i>m</i>/<i>z</i> range common to nMS experiments. This capability is directly relevant to heterogeneous membrane protein complexes, which often display broad distributions of oligomeric states, PTMs, lipid, and ligand adducts that complicate spectra. <a href="javascript:void(0);">(48,55)</a> Similarly, mAbs can oligomerize and exhibit mass heterogeneity from variable glycosylation, affecting pharmacokinetics, effector function, and stability. <a href="javascript:void(0);">(19)</a> CDMS may resolve and quantify such proteoforms in a single experiment without the need for charge reduction or chemical derivatization. <a href="javascript:void(0);">(48,56,57)</a></p>

Dissecting Heterogeneous Populations of Protein-Complex Samples Using Direct Mass Technology

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Mestrelab Mbook 4.0 

Mbook, a powerful Electronic Laboratory Notebook (ELN), is designed specifically for chemists, providing a streamlined solution for managing experimental data.

<p class="cke-user_style-important"><strong>Designed by chemists, for chemists</strong></p><p>In today's chemistry labs, efficiency, data security, and seamless collaboration are essential for success. <a target="_blank" rel="noopener noreferrer" href="https://mestrelab.com/main-product/mbook-chemistry?utm_source=adv&amp;utm_medium=labrulez&amp;utm_campaign=mar&amp;utm_term=mbook&amp;utm_content=blogpost"><strong>Mbook</strong></a>, a powerful Electronic Laboratory Notebook (ELN), is designed specifically for chemists, providing a streamlined solution for managing experimental data, analytical results, team coordination, stockroom inventory, and overall workflow efficiency.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mbook_Header_Image_e5fa76cd18.jpg" alt="Mestrelab Research: Mbook 4.0" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mbook_Header_Image_e5fa76cd18.jpg 242w," sizes="100vw" width="1406" height="906"></p><h4><strong>Why choose Mbook?</strong></h4><p>Mbook 4.0 is more than just an ELN for recording your reactions, projects, or experiments—it offers advanced capabilities to optimize your laboratory management, including:</p><ul><li>Experiment witnessing for enhanced supervision and confidence</li><li>COSHH assessments to simplify chemical safety management</li><li>Comprehensive inventory management with a Compound DB of over 2,500 preloaded compounds</li><li>Customizable Stockroom with PDF exportable options</li><li>Bottle consumption and tracking for accurate inventory control</li><li>Customizable Reports for actionable insights</li><li>Integrated raw data processing and analysis powered by Mnova 15.1</li><li>In-app messaging system for seamless communication</li><li>Advanced experiment write-up section for detailed documentation<br>…and much more!</li></ul><h4><strong>What’s New in Mbook 4.0?</strong></h4><p>Mbook continues to evolve with cutting-edge features and improvements. <strong>Mbook 4.0 is now available</strong>, bringing enhanced usability, performance upgrades, and deeper integration with advanced analytical tools. Explore its powerful features today!<br>Start optimizing your lab workflow today! <a target="_blank" rel="noopener noreferrer" href="https://mestrelab.com/mbook-trial"><strong>Click here </strong></a>to begin your free trial of Mbook.</p>

Mestrelab Mnova Hub software

Mnova Hub is a data browser that connects to various data providers and allows you to seamlessly retrieve, modify, and store data from within Mnova.

<p><strong>Streamlining Data Access and Exploration through Seamless Integration</strong></p><p>Spectral data is often scattered across diverse file systems and cloud-based repositories and is difficult to access. Mnova Hub is a data browser that connects to various data providers and allows you to seamlessly retrieve, modify, and store data from within Mnova, offering a centralized platform for exploration and analysis.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li>Seamlessly push and pull data from various providers using our unique data browser tool.</li><li>Cut out the middleman! Forget about manually downloading data; open and view it directly within Mnova.</li><li>Do not compromise security for easy data browsing; enjoy the ‘best of both worlds’ by effortlessly navigating secure data platforms.</li></ul><h4><strong>Features:</strong></h4><h5><strong data-start="1039" data-end="1108">Connection to various data providers</strong></h5><p>Mnova Hub provides easy and safe connections to various data sources, including databases (SQL and MnDB), Scientific Data Management Systems and data hubs (LOGS, ZONTAL), TopSpin (part of the Bruker Chemist Suite), and file systems. Each provider has a unique setup dialog that allows for customized configuration. Its flexible design ensures that integrating new providers is easily achievable.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mestrelab_Mnova_Hub_Connection_to_various_data_providers_ecc1b930ce.webp" alt="Mestrelab Research: Mestrelab Mnova Hub - Connection to various data providers." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mestrelab_Mnova_Hub_Connection_to_various_data_providers_ecc1b930ce.webp 245w," sizes="100vw" width="1104" height="641"></p><h5><strong data-start="1546" data-end="1659">Data searches and filtering</strong></h5><p>Mnova Hub has a configurable results display table that adapts to your preferences, allowing you to preview data, sort and filter results using available metadata filters, and fine-tune your search. This enables you to quickly and efficiently identify relevant datasets.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mestrelab_Mnova_Hub_Data_searches_and_filtering_fd7c371f66.webp" alt="Mestrelab Research: Mestrelab Mnova Hub - Data searches and filtering" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mestrelab_Mnova_Hub_Data_searches_and_filtering_fd7c371f66.webp 245w," sizes="100vw" width="1196" height="694"></p><h5><strong data-start="2113" data-end="2150">Seamless Data Management with Cloud Advantages</strong></h5><p>Mnova Hub offers a seamless experience for opening and saving data with just one step, akin to managing files on a local file system. With Mnova Hub, you no longer need to compromise between the convenience of local file handling and the advanced security, accessibility, and searchability features of cloud storage.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mestrelab_Mnova_Hub_Seamless_Data_Management_with_Cloud_Advantages_8b8effce32.webp" alt="Mestrelab Research: Mestrelab Mnova Hub - Seamless Data Management with Cloud Advantages." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mestrelab_Mnova_Hub_Seamless_Data_Management_with_Cloud_Advantages_8b8effce32.webp 245w," sizes="100vw" width="1104" height="640"></p>

Thermo Scientific™ LipidSearch™ Software

Thermo Scientific™ LipidSearch™ software provides accurate identification of lipids and automatically integrates complex data into a concise report.

<h3><strong>The promise of lipidomics</strong></h3><p><strong>Lipidomics is a new field of study crucial for understanding cellular physiology and pathology. The application of lipidomic profiling to disease phenotype analysis is a rapidly growing aspect of translational medical research. Identification of unique lipid biomarkers has the potential to distinguish healthy individuals from individuals at risk for disease, detect diseases earlier, and facilitate development of personalized treatments.</strong></p><p>Liquid chromatography combined with mass spectrometry (LC/MS) is a widely adopted technique for lipidomics analyses. Relative and absolute quantitation, and identification, of lipids from biological samples requires sophisticated software with an extensive, comprehensive database.<strong> Thermo Scientific™ LipidSearch™ software provides accurate identification of lipids and automatically integrates complex data into a concise report. With its easy-to-use web-based interface, it dramatically reduces data analysis time.</strong></p><figure class="image"><img style="aspect-ratio:915/494;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Lipid_Search_Software_2_73b7d0a9e2.jpg" alt="Thermo Scientific™ LipidSearch™ Software: Easy-to-use web browser interface for automated and reliable identification." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Lipid_Search_Software_2_73b7d0a9e2.jpg 245w," sizes="100vw" width="915" height="494"></figure><h3><strong>Automated identification and relative quantitation with LipidSearch software</strong></h3><p>LipidSearch software, developed jointly by Professor Ryo Taguchi and MKI, (Tokyo, Japan), is a powerful new tool for<strong> automatic identification and relative quantification of cellular lipid molecular species from large amounts of mass spectrometric data obtained in nano-infusion or LC-MS experiments. </strong>Using the industry-leading, high-resolution, accurate-mass <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;manufacturerItems=3&amp;search=orbitrap"><strong>Thermo Scientific Orbitrap™ technology</strong></a> with exclusive<strong> LipidSearch software</strong>, the most accurate and confident lipid profiles and identifications can be achieved more quickly than ever before.</p><ul><li><strong>Compatible with</strong> data acquired from Thermo Scientific™ triple quadrupole, ion trap, and Orbitrap mass spectrometers</li><li><strong>Largest lipid database</strong> containing <strong>&gt;1.5 million</strong> lipid ions and their predicted fragment ions</li><li><strong>Identification algorithms</strong> for product ion, precursor ion and neutral loss scans</li><li><strong>Alignment of lipid data</strong> obtained from multiple<strong> LC-MS and MS<sup>n</sup> experiments</strong></li><li><strong>Relative quantitation </strong>of identified lipid precursors in either LC-MS or infusion experiments</li></ul><p>The database contains <strong>defined structures and includes more than 1.5 million lipid ions and their predicted fragment ions. </strong>Fragmentation patterns are calculated and improved by using expert knowledge based on experimental results. Lipid adduct ions and MS<sup>n</sup> fingerprints are also included. Data are stored in XML files and are easily customized.</p><figure class="image"><img style="aspect-ratio:990/497;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Lipid_Search_Software_3_91f1458663.jpg" alt="Thermo Scientific™ LipidSearch™ Software: Lipid fragment ions related to lipid headgroup, fatty acids, and backbone." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Lipid_Search_Software_3_91f1458663.jpg 245w," sizes="100vw" width="990" height="497"></figure><h3><strong>LipidSearch software provides an easy-to-use, automated workflow</strong></h3><p><strong>From peak detection to relative quantitaiton and identification, LipidSearch software provides an easy-to-use, automated workflow.</strong></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Lipid_Search_Software_4_2043f3d667.jpg" alt="Thermo Scientific™ LipidSearch™ Software: LipidSearch software provides an easy-to-use, automated workflow." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Lipid_Search_Software_4_2043f3d667.jpg 245w," sizes="100vw" width="1122" height="530"></p><h4><strong>Step 1 Data Analysis Module — Peak Detection</strong></h4><ul><li><strong>Raw data file reading</strong></li><li><strong>Smart peak detection</strong></li></ul><p>The peak detection engine implemented in<strong> LipidSearch software </strong>can handle<strong> different MS experiments and platforms. </strong>The combination of unique peak detection algorithms, tailored for each experiment and instrument type, and mass spectral processing functions enables accurate peak detection.</p><p><strong>LipidSearch software provides two different identification algorithms as well as scoring algorithms:</strong></p><ul><li><strong>A group-specific algorithm</strong> identifies lipids based on the polar head groups or fatty acids using a combination of precursor ion scanning and neutral loss scans from lipids mixtures.</li><li><strong>The comprehensive ID algorithm</strong> is used for product ion scans and can discriminate each lipid by matching the predicted fragmentation pattern stored in the database.</li><li>LipidSearch software also provides a <strong>set of scoring algorithms</strong> to filter out lower probability results</li></ul><h4><strong>Step 2 Identification Module — Lipid Identification</strong></h4><ul><li><strong>Group-specific ID (targeted)</strong></li><li><strong>Comprehensive ID (untargeted)</strong></li><li><strong>Scoring algorithms</strong></li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Lipid_Search_Software_5_0abd534dd5.jpg" alt="Thermo Scientific™ LipidSearch™ Software: PG 17:0/17:0 Search Results." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Lipid_Search_Software_5_0abd534dd5.jpg 245w," sizes="100vw" width="1003" height="456"></p><h4><strong>Step 3 Quantitation Module — Alignment and Quantitation</strong></h4><ul><li><strong>XIC peak integration</strong></li><li><strong>Retention time alignment</strong></li><li><strong>Relative quantitation</strong></li><li><strong>Statistical analysis</strong></li></ul><p>Prior to quantitation, lipid results from each sample are aligned within a retention time window. Identified lipids are quantified by detecting their precursor ions from full-scan MS and integrating extracted ion chromatograms.</p><p>Accurate peak areas are computed by denoising and smoothing the peak profiles prior to separating any partially overlapped peaks. Comparative analysis is then carried out between the multiple sample and control groups using <strong>t-test statistics.</strong> The mean peak area result for each group is displayed in a “box and whisker” plot.</p><figure class="image"><img style="aspect-ratio:1129/909;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Lipid_Search_Software_6_196073034c.jpg" alt="Thermo Scientific™ LipidSearch™ Software: Alignment results for CoQ7, [M+NH4]+." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Lipid_Search_Software_6_196073034c.jpg 194w," sizes="100vw" width="1129" height="909"></figure><p>Using the industry-leading, high-resolution, accurate-mass <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;manufacturerItems=3&amp;search=orbitrap"><strong>Thermo Scientific™ Orbitrap™ technology</strong></a><strong> </strong>with exclusive<strong> LipidSearch software</strong>, achieve the most accurate and confident lipid profiles and identifications more quickly than ever before. For targeted quantitation, LipidSearch software also supports the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;manufacturerItems=3&amp;search=tsq"><strong>Thermo Scientific TSQ triple quadrupole MS systems</strong></a><strong>. </strong>For both lipidomics workflows, LipidSearch software <strong>automatically integrates complex data into a combined report to dramatically reduce data analysis.</strong></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Lipid_Search_Software_7_f6a5102f0a.jpg" alt="Thermo Scientific™ LipidSearch™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Lipid_Search_Software_7_f6a5102f0a.jpg 245w," sizes="100vw" width="924" height="570"></p><h5><strong>Minimum/Recommended PC Requirements</strong></h5><ul><li><strong>OS: </strong>Microsoft® Windows® 7 Professional (x64) or Windows 8 (x64); English language<br><strong>CPU: </strong>Quad - or multi-core CPU, 2 GHz or higher<br><strong>Memory:</strong> 8 GB RAM or higher<br><strong>HDD: </strong>50 GB free space for LipidSearch software; 500 GB hard drive<br>SSD (optional): 50 GB free space for LipidSearch software; 256 GB solid-state drive</li></ul>

Thermo Scientific™ ProSightPD Software

Perform comprehensive analysis of top-down proteomics data with Thermo Scientific™ ProSightPD™ software.

<div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>Confident proteoform identification and characterization</strong></h3></div></div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><p><strong>Uncover and confidently characterize proteoforms within complex matrices, including proteoforms containing truncations, alternative splices, and post-translationally modified proteins.</strong>&nbsp;</p><p>Extensive searches make use of <strong>various fragmentation methodologies (e.g., ETD, HCD, UVPD)</strong>, allowing you to make full use of the high-quality <strong>MS/MS data</strong> obtained when searching against the<strong> full biological complexity present in UniProt. </strong>With<strong> Thermo Scientific ProSightPD software, </strong>see what is really there and make the most of your data.</p><div><h3><strong>Key benefits</strong></h3><h5><strong>Sophisticated tools at your fingertips</strong></h5><p><strong>Utilize several search modes</strong> for identifying intact and truncated proteins. ProSightPD software offers the ability to search entire raw files or quickly select specific MS<sup>2</sup> scans for further searching. Information in UniProt enables the identification of modified or processed proteins.</p><h5><strong>Remove the guesswork from database management</strong></h5><p><strong>Import result files </strong>from<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1782"><strong> Proteome Discoverer</strong></a><strong> software</strong> or entire proteomes via UniProt formatted XML and FASTA files with Database Manager. Fully customize imported databases using thr<strong> ProSight Annotator GUI </strong>to characterize PTMs, disulfide bonds, mutations and truncations.</p><h5><strong>Intuitive user interface</strong></h5><p><strong>Analyze large datasets</strong> with many data files using <strong>ProSightPD nodes for </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1782"><strong>Proteome Discoverer</strong></a><strong> software. </strong>Create multi-step searches and utilize built in results interpretation tools.</p><h3><strong>Search Types</strong></h3><div><p><strong>Different database search modes</strong> allow you to optimize data interrogation based upon your experimental needs. Searches are driven through the use of a node-based system allowing flexibility of experimental design.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Pro_Sight_PD_Software_8a96430534.jpeg" alt="Thermo Scientific™ ProSightPD Software: ProSightPD Database Searching." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Pro_Sight_PD_Software_8a96430534.jpeg 245w," sizes="100vw" width="960" height="540"></p><div><p>Further information relating to the two search modes, Absolute Mass Search and Biomarker Search.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Pro_Sight_PD_Software_2_01f6c31076.jpeg" alt="Thermo Scientific™ ProSightPD Software: Complementary Search Types: Digging Deeper in Complex Samples." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Pro_Sight_PD_Software_2_01f6c31076.jpeg 245w," sizes="100vw" width="960" height="540"></p><h3><strong>Database Management</strong></h3><div><p><strong>Confident proteoform identification </strong>is realized through the use of XML-formatted databases, ensuring that nothing is missed.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Pro_Sight_PD_Software_3_db19f0cee9.jpeg" alt="Thermo Scientific™ ProSightPD Software: Database Manager: Add remove isoforms and PTMs." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Pro_Sight_PD_Software_3_db19f0cee9.jpeg 245w," sizes="100vw" width="960" height="540"></p><div><p><strong>Improvements to data visualization</strong> ensure that you can better interact with and interpret your data, minimizing the time taken to deliver actionable results.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Pro_Sight_PD_Software_4_575aa9dff5.jpeg" alt="Thermo Scientific™ ProSightPD Software: LFQ Visualizations." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Pro_Sight_PD_Software_4_575aa9dff5.jpeg 245w," sizes="100vw" width="960" height="540"></p><h3><strong>ProSightPD nodes</strong></h3><p><strong>Top-Down Workflows:</strong> ProSightPD&nbsp;includes templates to easily build the most commonly used-top down data analysis workflows.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Pro_Sight_PD_Software_5_4f28a7434d.jpg" alt="Thermo Scientific™ ProSightPD Software: ProSightPD 2.0: Tailored Workflows for All Types of Data." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Pro_Sight_PD_Software_5_4f28a7434d.jpg 245w," sizes="100vw" width="740" height="400"></p></div></div></div></div></div></div></div>

Thermo Scientific™ Mass Frontier™ Spectral Interpretation Software

Transform your mass spectral data into knowledge quickly and easily using Thermo Scientific™ Mass Frontier™ spectral interpretation software. 

<p><strong>Transform your mass spectral data into knowledge quickly and easily using Thermo Scientific™ Mass Frontier™ spectral interpretation software. Take the challenge out of small molecule structural elucidation for metabolism, metabolomics, forensics, natural products, impurities, and degradants studies.</strong></p><p><strong>High-quality, curated experimental spectral and fragmentation libraries</strong> simplify the deconvolution, evaluation, interpretation and management of infusion, and LC, nominal mass, or high resolution mass spectral data. Streamline building and curating your library and sharing it with your colleagues and collaborators. <strong>Mass Frontier software complements Thermo Scientific™ </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer™</strong></a><strong> software</strong> for routine-based small molecule discovery and identification.</p><h3><strong>See what's really there</strong></h3><ul><li>Deconvolute your nominal mass or high resolution LC-MS<sup>n</sup> or infusion data.</li><li>Capture all of your data, no matter how complex, with simple interrogation of all components.</li></ul><h3><strong>Know more unknowns</strong></h3><ul><li><strong>Transform </strong>your small molecule unknown data into actionable knowledge.</li><li><strong>Search </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud™</strong></a><strong> mass spectral library</strong>, the world's most comprehensive and structurally diverse fully curated mass spectral database.</li><li><strong>Maximize the utility of your MS<sup>n</sup> data</strong> for the confident identification of unknown with spectral tree searching.</li><li><strong>Enhance your confidence</strong> in proposed unknown candidate structures by using <strong>Thermo Scientific™ </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1762"><strong>mzLogic™</strong></a><strong> algorithm</strong>, based on similarity searching to millions of fragment annotated spectra.</li></ul><figure class="image"><img style="aspect-ratio:740/405;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_3_167df5dc63.jpg" alt="Thermo Scientific™ Mass Frontier™ Spectral Interpretation Software: mzCloud mass spectral library." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_3_167df5dc63.jpg 245w," sizes="100vw" width="740" height="405"></figure><h3><strong>Go from spectra to structure</strong></h3><ul><li>The HighChem Fragmentation Library™ includes <strong>&gt;54,000 fragmentation schemes, ∼ 220,000 individual reactions, and 256,000 chemical structures</strong>, all from peer-reviewed literature.</li><li>Spectral trees are fully annotated with fragmentation structures.</li><li><strong>FISh (fragment ion search) detection</strong> enables detection of structurally related compounds, indicating the site of transformations for drug metabolites.</li></ul><figure class="image"><img style="aspect-ratio:740/350;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_2_37f024ef32.jpg" alt="Thermo Scientific™ Mass Frontier™ Spectral Interpretation Software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_2_37f024ef32.jpg 245w," sizes="100vw" width="740" height="350"></figure><h3><strong>Build your pathways</strong></h3><ul><li>Interactively search more than <strong>370 curated</strong> <strong>biochemical pathways</strong> with<strong> Thermo Scientific™ Metabolika™</strong> pathway mapping.</li><li>Create and understand fragmentation pathways and mechanisms using advanced fragmentation scheme knowledge base drawn from more than 99% of published fragmentation pathways.</li></ul><figure class="image"><img style="aspect-ratio:740/410;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_4_7d1b4f8671.jpg" alt="Thermo Scientific™ Mass Frontier™ Spectral Interpretation Software: An example of an included Metabolika biological pathway, which can be fully edited and added to." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_4_7d1b4f8671.jpg 245w," sizes="100vw" width="740" height="410"></figure><h3><strong>Store, share and utilize your knowledge</strong></h3><ul><li><strong>Translate your data into actionable knowledge:</strong> create, curate and store your own spectral libraries and pathways.</li><li><strong>Ensure the highest quality proprietary libraries</strong> with full curation and mass recalibration tools.</li></ul><figure class="image"><img style="aspect-ratio:740/345;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_5_e89924a0b7.jpg" alt="Thermo Scientific™ Mass Frontier™ Spectral Interpretation Software: The new curator module automates spectral tree curation, fragment annotation and mass recalibration for your proprietary compounds to build a high quality curated local MSn library." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Mass_Frontier_Spectral_Interpretation_Software_5_e89924a0b7.jpg 245w," sizes="100vw" width="740" height="345"></figure>

Thermo Scientific Xcalibur Software

Confidently control, acquire, and interrogate data from a range of Thermo Scientific LC-MS systems and related instruments using Thermo Scientific Xcalibur software.

<div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>Acquire high-quality data, regardless of your mass spectrometry platform</strong></h3></div></div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><p><strong>Confidently control, acquire, and interrogate data from a range of Thermo Scientific LC-MS systems and related instruments using Thermo Scientific Xcalibur software.</strong></p><p>With simple method set-up, data acquisition, in-depth data interrogation and reporting tools as well as seamless integration to a range of additional Thermo Scientific application-specific software and cloud-based tools, Xcalibur software serves as the powerful, yet easy-to-use platform for your LC-MS analyses.</p><div><h3><strong>Key benefits of Xcalibur data acquisition software</strong></h3><h5><strong>Comprehensive toolset and landing page for all your installed applications</strong></h5><p>With a homepage that conveniently hosts all your installed applications and provides easy access to instrument control, method development, data acquisition, and reviewing, Xcalibur software makes it quick and easy to navigate through your workflows.</p><h5><strong>Ad-hoc data reviewing and quantitative capabilities</strong></h5><p>When you need to interrogate your data—from elemental compositions, plotting chromatograms, spectral views, performing library searches and much more—or perform basic quantitation, the <strong>FreeStyle and Quan Browser applications included with the Xcalibur software</strong> allow you to gain insights into your data.</p><h5><strong>Integration with cloud-based tools for productivity</strong></h5><p>The landing page for the Xcalibur software not only serves as the configurable portal to your applications, you can also receive application update information, ensuring that you have the latest version of software. Additionally, cloud-based applications allow you to remotely monitor your systems and drive productivity.</p><h3><strong>About Xcalibur data acquisition software</strong></h3><div><p>The <strong>customizable landing page (or Roadmap View) </strong>enables easy access to all your installed applications, from those included with Xcalibur software to your application-specific software packages.</p><p>Not only can you receive notification when there is a new version of any installed application, you can also access the <a target="_blank" rel="noopener noreferrer" href="https://thermo.flexnetoperations.com/control/thmo/login" aria-label="XApp Store - open in a new tab" data-uw-rm-ext-link="" uw-rm-external-link-id="https://thermo.flexnetoperations.com/control/thmo/login$xappstore"><strong>XApp Store</strong></a> for more information on the latest applications and try many of them for free for 60 days.</p><p>A host of<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong> cloud-based applications </strong></a>are available from the Roadmap View, including <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/lc-ms-data-acquisition-software/xcalibur-data-acquisition-interpretation-software.html?open=almanac#almanac"><strong>Almanac</strong></a>, which allows for web- or smartphone-based monitoring of your MS.</p><figure class="image"><img style="aspect-ratio:740/400;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_35361ffe4b.jpg" alt="Thermo Scientific™ Xcalibur™ Software: The customizable landing page (or Roadmap View)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_35361ffe4b.jpg 245w," sizes="100vw" width="740" height="400"></figure><div><p>Regardless of the experimental design, it should be easy to set-up your mass spectrometer to acquire high-quality data. <strong>The Method Editor allows you to quickly and simply create acquisition methods</strong> that control the necessary parameters and drive your acquisition requirements.</p><p>For the <strong>latest generation of mass spectrometers,</strong> there are numerous <strong>pre-configured method templates </strong>arranged by application area. These methods allow users of any experience level to acquire data relevant to their questions. Alternatively, the templates can be used as a starting point to facilitate rapid method development. Each method covers all instrument parameters as well as those for data acquisition, reducing complexity of set up.</p><figure class="image"><img style="aspect-ratio:740/410;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_2_baa5610a5d.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_2_baa5610a5d.jpg 245w," sizes="100vw" width="740" height="410"></figure><div><p>Modern visualization tools allow you to rapidly answer questions as you qualitatively interrogate your data.</p><p>The <strong>FreeStyle application,</strong> <strong>provided with the Xcalibur software</strong>, allows you to interact with your data from simple chromatographic detection and integration to spectral library searching, spectral deconvolution or diagnostic plots.</p><figure class="image"><img style="aspect-ratio:740/400;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_3_221d41f756.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_3_221d41f756.jpg 245w," sizes="100vw" width="740" height="400"></figure><div><p><strong>For rapid quantitation of a small number of targets, </strong><a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/lc-ms-data-acquisition-software/xcalibur-data-acquisition-interpretation-software.html?open=quan#quan"><strong>Quan Browser</strong></a><strong>, included with the Xcalibur software, </strong>allows you to quickly identify component peaks, determine integration criteria, and visualize calibration curves, integrations, and results.</p><p><strong>Xcalibur software allows you to interactively edit </strong>processing parameters, report data and rapidly access your quantitative information while processing your quantitation sequences.</p><figure class="image"><img style="aspect-ratio:740/410;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_4_40201472f4.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_4_40201472f4.jpg 245w," sizes="100vw" width="740" height="410"></figure><h3><strong>FreeStyle data review application for Xcalibur software</strong></h3><div colctrl-id="2-1"><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><strong>For the qualitative analysis of any mass spectral data (.raw or .sld) in a highly visual environment, FreeStyle allows you to display chromatograms and spectra, detect and integrate chromatographic peaks, search mass spectral libraries, simulate mass spectra, subtract background spectra, apply scan filters, annotate plots with text and graphics, create and save layouts, and view the status of various instrument parameters during data acquisition.</strong></p></div></div></div></div><figure class="image"><img style="aspect-ratio:800/195;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_5_6a0f093b2f.jpg" alt="Thermo Scientific™ Xcalibur™ Software: FreeStyle data review application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_5_6a0f093b2f.jpg 245w," sizes="100vw" width="800" height="195"></figure><div><p>With a familiar interface, the tools needed to access the information stored in your data are readily accessible. <strong>HRAM</strong> data intelligence means that <strong>data is displayed according to the mass accuracy of the MS system used to acquire it.</strong></p><p><strong>When it comes to visualizing your data, </strong>make use of unlimited plots, quick creation of plots from spectra, spectral annotation with structures, text and graphics, trending/diagnostic plots for status parameters, and scan header entries; float/dock/hide multiple windows and split across monitors to really get the most out of your data.</p><figure class="image"><img style="aspect-ratio:740/400;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_6_e6a704b2dc.jpg" alt="Thermo Scientific™ Xcalibur™ Software: FreeStyle data review application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_6_e6a704b2dc.jpg 245w," sizes="100vw" width="740" height="400"></figure><p><strong>Create and customize highly visual map views of complex datasets</strong>, with simple modification of any plots and data views. Then use those views to generate your own visual reports, enhancing your insights.</p><figure class="image"><img style="aspect-ratio:740/420;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_7_1ac807c5fa.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_7_1ac807c5fa.jpg 245w," sizes="100vw" width="740" height="420"></figure><p><strong>High-resolution protein mass spectral data </strong>can be deconvoluted using <strong>the Xtract deconvolution algorithm</strong>, contained in the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1837"><strong>Thermo Scientific BioPharma Finder</strong></a><strong> software</strong> to obtain the intact mass and a single, deconvoluted mass spectrum for the protein components within the charge state envelope.</p><figure class="image"><img style="aspect-ratio:740/420;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_8_c6820a5e8c.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_8_c6820a5e8c.jpg 245w," sizes="100vw" width="740" height="420"></figure><div><p>Discovering what is in your data doesn’t need to be challenging. The ability to search the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a><strong> mass spectral library,</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1760"><strong>mzVault</strong></a>,<strong> or NIST </strong>with a single-click means that compound identification from MS and MS<sup>2</sup> data is quick and easy. You can also export spectral data to the NIST application.</p><p>Elemental compositions can be calculated using MS and MS<sup>2</sup> data, with isotopic simulations for added confidence.</p></div><div><h3><strong>Quan Browser application for Xcalibur software</strong></h3><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><strong>When you require a quick answer, the Quan Browser, included in the Xcalibur software, allows you to determine the concentration of analytes within your sample set when there is a small number of targets.</strong></p><figure class="image"><img style="aspect-ratio:800/195;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_9_781c806926.jpg" alt="Thermo Scientific™ Xcalibur™ Software: Quan Browser application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_9_781c806926.jpg 245w," sizes="100vw" width="800" height="195"></figure><p>You can <strong>review or rework </strong>your component peak identifications and integration criteria, calibration curves for your quantitation standards, your standards, QC samples, blanks and unknowns with interactive editing of processing parameters.</p><figure class="image"><img style="aspect-ratio:740/385;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_10_55b04eedae.jpg" alt="Thermo Scientific™ Xcalibur™ Software: Quan Browser application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_10_55b04eedae.jpg 245w," sizes="100vw" width="740" height="385"></figure><p><strong>The Quan Browser, included in the Xcalibur software,</strong> incorporates a results view where you can observe the data used to create calibration curves and peak integrations. Quantitation sequences, including bracketed sequences, can be processed, and any processing parameters interactively edited with the results are dynamically updated.</p><p>For <strong>larger quantitative studies</strong> we recommend either<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/77"><strong>Thermo Scientific TraceFinder software</strong></a><strong> </strong>for high-throughput analyses, or <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76"><strong>Thermo Scientific Chromeleon Chromatography Data System (CDS) software</strong></a> for regulated studies, such as regulated bioanalysis, which require tools for compliance.</p></div></div></div></div></div></div></div></div></div></div></div></div>

Thermo Scientific Compound Discoverer software

Compound Discoverer software addresses small molecule identification needs and workflows including untargeted metabolomics, drug metabolism, impurity, E&L, environmental, food & beverage, and forensic research.

Thermo Scientific mzVault offline advanced mass spectral database

mzVault provides you the capabilities to access and search mzCloud’s MS2-level spectral data off-line, or to store your own spectral library information.

<p><strong>Your data has inherent value, as it is the knowledge that you acquire. mzVault provides you the capabilities to access and search mzCloud’s MS<sup>2</sup>-level spectral data off-line, or to store your own spectral library information. Spectral information, and your knowledge, can be automatically sent from </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a><strong> into a new, or existing library which can then be searched using Compound Discoverer or</strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong> Mass Frontier.</strong></a></p><div><p>When you need to curate proprietary libraries and ensure the highest quality data, <strong>Mass Frontier</strong> provides you with the same tools used to curate <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a>, meaning that <strong>you can ensure your spectral data has been filtered, recalibrated, averaged and fully structurally annotated, ready to share your knowledge within your organization.</strong></p></div><div><h3><strong>Key benefits</strong></h3><h5><strong>Know more unknowns off-line</strong></h5><p><strong>Sometimes it isn’t possible to be online and access </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a><strong>.</strong> mzVault contains all MS<sup>2</sup>-level spectral data contained within mzCloud to allow for confident unknown identifications.</p><h5><strong>Create and share your knowledge&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p><strong>Create, store and search your own in-house spectral libraries. </strong>Once you have identified unknowns through mzLogic, or you have your proprietary compounds, make sure that this valuable information can be leveraged.</p><h5><strong>Have I seen this unknown before?&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p><strong>Even with extensive online structural databases, and mzLogic to propose a structure or sub-structure, there can be occasions where it remains an unknown.</strong> Store this information and re-use to see if you have previously observed any unknowns.</p><h5><strong>Curate your high-quality data</strong></h5><p><strong>When it is important to curate your valuable data</strong>, the <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/mass-spectral-libraries.html?open=curator">Curator</a> tool from Mass Frontier allows you to use the same tools used to populate <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a>, ensuring the creation of your own high-quality mzVault proprietary libraries.</p></div>

Thermo Scientific Metabolika module for easy pathway analysis

Create, edit and search reaction pathways using the new Metabolika module to take your knowledge to the next level. 

<div style="height:auto;" id="metabolika"><div><div><div><div colctrl-id="7-1"><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><strong>Create, edit and search reaction pathways using the new Metabolika module to take your knowledge to the next level. With publication-quality graphical functionality to create and edit reaction pathways within</strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong> Thermo Scientific Compound Discoverer 3.0</strong></a><strong> or greater, and </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Thermo Scientific Mass Frontier Software 8.0</strong></a><strong> or greater, and more than 370 curated and annotated biochemical pathways for a range of organisms, it is easier than ever to share your pathway knowledge.</strong></p><p>The Metabolika Module is also utilized within substructure searching, fragmentation prediction and for <strong>mzLogic</strong>, further increasing the chances of unknown compound identification.</p></div></div></div></div><div><p>When used within the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer software</strong></a>, this module can take your data visualization to a new level with interactive statistical data overlay, including metabolic flux analysis data.</p><div><h3><strong>Key benefits</strong></h3><h5><strong>Create, edit and store reaction pathways&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>From the included &gt;370 metabolic pathways, through to your own reaction pathways, easily curate and edit your knowledge for future use within both the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier</strong></a> software.</p><h5><strong>Access knowledge of &gt;370 metabolic pathways&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>The combined knowledge of the included pathways isn’t just restricted to Metabolika, the information is also fully utilized for substructure searching as well as with<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1762"> <strong>mzLogic</strong></a><strong>.</strong></p><h5><strong>Map pathways to your data, as well as visualize your statistical information</strong></h5><p>Pathways can be easily mapped to your detected compounds within the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer software</strong></a>, with highly visual and interactive representation. Additionally, your statistical information from flux analyses can be displayed within Metabolika pathways for easy data visualization.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Metabolika_module_for_easy_pathway_analysis_781f11c926.jpg" alt="Thermo Scientific Metabolika module for easy pathway analysis: An example of Metabolika pathways analysis tool with flux analysis data included, showing qualitative flux analysis of exchange rates from a stable isotope labeling experiment." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Metabolika_module_for_easy_pathway_analysis_781f11c926.jpg 245w," sizes="100vw" width="960" height="500"></p></div></div></div></div></div></div>

Thermo Scientific mzLogic Data Analysis Algorithm

mzLogic solves a key challenge in small molecule identification by enabling the characterization of unknowns when high-quality MSⁿ data yield no matches in spectral libraries.

<div style="height:auto;" id="mzlogic"><div><div style="display:block;"><div><div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>Accelerate unknown small molecule identification with mzLogic</strong></h3></div></div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><p><strong>The mzLogic data analysis algorithm addresses one of the biggest challenges for small molecule characterization and identification-when, despite having sufficient high-quality and high-resolution MS<sup>n</sup> mass spectrometric data, there is no match in any spectral library, meaning you have an unknown.</strong></p><p>mzLogic combines the extensive fragmentation information available within the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a> online advanced mass spectral library with the information in numerous online structural databases. As a result, mzLogic allows you to take thousands of potential structural candidates and automatically rank them based upon spectral similarity and sub-structural information – delivering confident candidates for your true unknowns.</p></div></div></div></div></div></div><div><h3><strong>Key benefits</strong></h3><h5><strong>Combine the benefits of multiple libraries and databases&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>The ability of mzLogic to combine the extensive, high-quality and high-resolution accurate mass, multi-stage (MS<sup>n</sup>) fragmentation information in <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud</a>, with numerous online structural databases provides the greatest chance to confidently identify unknowns.</p><h5><strong>Take lengthy guesswork out of unknown identification&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>mzLogic uses the data from <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud </a>and multiple other data sources to identify common sub-structural features from your MS<sup>n</sup> data, explaining as much of your fragmentation data as possible before the next stages of identification.</p><h5><strong>Go from thousands of potential candidates to a handful</strong></h5><p>Using elemental composition to search structural databases can return thousands of potential candidates; mzLogic uses MS<sup>n</sup> data and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud</a> fragmentation database information to explain as much structural information as possible, reducing thousands of potentials to a handful of confident candidates based upon structural similarity.</p><div><div><figure class="image"><img style="aspect-ratio:740/345;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_05478bcf43.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: Take the guesswork out of small molecule unknown identification through the combination of mzLogic algorithm and the high quality, structurally diverse mass spectral fragmentation information contained within mzCloud, to propose and confirm structural identification." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_05478bcf43.jpg 245w," sizes="100vw" width="740" height="345"></figure><h3><strong>How does your data relate to mass spectral libraries?</strong></h3><div style="height:auto;" id="massspectrallibraries"><div><div><div><div><p>Whether you are working to better characterize and understand <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/pharma-biopharma/pre-clinical-and-clinical-drug-testing/metabolite-identification.html">metabolism and drug analytes</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/food-beverage/food-analytical-testing/food-contact-materials.html">food and environmental samples</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/forensics/antidoping/doping-control-retrospective-analysis.html">designer drugs</a> or <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/pharma-biopharma/pharma-biopharma-learning-center/pharmaceutical-qa-qc-information/extractables-leachables-information.html">extractables and leachables</a>, the use of mass spectral libraries and online databases can help identify compounds in your samples. However, with increasing crossover between compound classes, new impurities, subtle compound transformations or metabolism and degradation products, sometimes no compelling match is made to the libraries you use.</p><p>Acquiring comprehensive high-resolution accurate- mass MS/MS and MS<sup>n</sup> data has been simplified with data acquisition tools such as <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1763"><strong>AcquireX</strong></a>, and general hardware improvements. Obtaining mass spectral libraries that contain broad chemical diversity, extensive fragmentation and reliable and concise data has been the biggest challenge.</p><p>The<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud</a> mass spectral database is the largest (in terms of total spectra and data per compound) publicly available online mass spectral fragmentation library. It contains high-resolution accurate-mass (HRAM) spectra, including exhaustive high-resolution MS/MS and multi-stage MS<sup>n</sup> spectra. Each entry contains considerable metadata and, most importantly, has been extensively curated (i.e., filtered, recalibrated, averaged, and annotated) to provide absolute confidence in the quality of its contents.</p><figure class="image"><img style="aspect-ratio:908/323;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_2_959e175e53.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: High quality MS, MS/MS and MSn data can be used to interrogate the fully curated and annotated mass-spectral fragmentation library, mzCloud. Common substructural information can be used from the extensive fragmentation information to aid in unknown compound identification using mzLogic algorithm." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_2_959e175e53.jpg 245w," sizes="100vw" width="908" height="323"></figure><h3><strong>How does mzLogic identify unknowns?</strong></h3><div style="height:auto;" id="identifyunknowns"><div><div><div><div><p>Each <strong>mzCloud library</strong> entry contains extensive fragmentation information, which has been acquired using both a range of collision energies and fragmentation techniques (collision induced and higher energy collisional dissociation, CID and HCD). When this information is combined with the broad chemical diversity of library entries, the likelihood that some or all of an unknown structure can be matched against an existing fragment within the library increases.</p><figure class="image"><img style="aspect-ratio:927/394;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_3_b50ae0af70.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: mzLogic reduction of putative candidates using online structural databases and the extensive fragmentation information contained within mzCloud." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_3_b50ae0af70.jpg 245w," sizes="100vw" width="927" height="394"></figure></div></div></div></div></div><div style="height:auto;" id="identifyunknowns"><div><div><div><div><p>As shown in the figure above, mzLogic is available as part of the<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong> Mass Frontier software</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer software</strong></a> packages, and works as follows:</p><ol style="list-style-type:upper-latin;"><li>Online databases, such as <a target="_blank" rel="noopener noreferrer" href="http://www.chemspider.com" aria-label="ChemSpider - open in a new tab" data-uw-rm-ext-link="" uw-rm-external-link-id="http://www.chemspider.com/$chemspider">ChemSpider</a>, which contains more than 70 million structures, can be searched using an elemental composition. Even with the ability to use the high-resolution and accurate mass capabilities of <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;search=orbitrap"><strong>Orbitrap mass analyzers</strong></a> to reveal fine isotopic information, many hundreds or even thousands of potential structures could match the elemental composition.</li><li>The high-quality fragmentation information contained within mzCloud is <strong>compared to experimental data.</strong></li><li>mzLogic rapidly identifies structurally similar fragments through forward and reverse searches.</li><li>Based upon the identified sub-structures, the structural candidates from the online search are ranked in order of how much of the structure can be explained through the sub-structural matching.</li><li>This ranking based upon the use of real data, takes many hundreds or thousands of potential candidates and reduces them to a significantly smaller list of putative structures, with visualization tools to explain the ranking and structure accounted for by library fragments.</li></ol><div><div><h3><strong>What is the next step to confirm any potential candidates?</strong></h3><div style="height:auto;" id="potentialcandidates"><div><div><div><div><p>The ranked results from using mzLogic will either show that all the structure can be accounted for in that candidate or that there is still some structural information from the proposed candidate that cannot be accounted for. MS/MS and/or MS<sup>n</sup> fragmentation spectra typically contains substantial amounts of structural information, which can be further investigated using <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier software</strong></a>.</p><p>Where a complete, in-depth analysis of MS<sup>n</sup> fragmentation data is required,<strong> </strong>Mass Frontier software provides visualization and understanding of fragmentation pathways using extensive MS<sup>n</sup> data. The<strong> Fragments and Mechanism tool </strong>simulates unimolecular dissociation of the proposed structures, including rearrangements and predicted fragments, and can be used to explain the experimental fragmentation data through fragment annotations to help identify which candidates are indeed plausible. Rather than coded fragmentation algorithms, <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier software</strong></a><strong> bases fragmentation on mechanisms published in more than 95% of all peer-reviewed scientific journals.</strong></p><p>This approach adds greater certainty to putative structure identification through the deep fragmentation and characterization information provided by the high-quality data and extensive spectral trees in <strong>mzCloud.</strong></p><figure class="image"><img style="aspect-ratio:673/324;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_4_1d09064e9e.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: Confident structural elucidation using automated fragmentation annotation of MSn spectral trees. Fragmentation pathways can also be predicted based upon submission of a structure and makes full use of the HighChem Fragmentation Library. This library contains information from more than 52,000 fragmentation schemes, 217,000 individual reactions, 256,000 chemical structures and 216,000 decoded mechanisms from peer reviewed literature." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_4_1d09064e9e.jpg 245w," sizes="100vw" width="673" height="324"></figure></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

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