Protein sample preparation and quantitation for mass spectrometry
Guides | 2017 | Thermo Fisher ScientificInstrumentation
Mass spectrometry–based proteomics has become the gold standard for global protein identification, quantitation and functional analysis in biology, biotechnology and clinical research. Precise and reproducible sample preparation, coupled with high-performance chromatography, accurate calibration, robust instrumentation and dedicated software, is essential to overcome the complexity and dynamic range of protein mixtures. Integrated workflows maximize sensitivity, depth of coverage and throughput, enabling discovery of low-abundance proteins, post-translational modifications and biomarker candidates.
This white paper provides an end-to-end survey of reagents, consumables, instrumentation and software for proteomics sample preparation and quantitation. It outlines best practices for cell and tissue lysis, protein enrichment, digestion and clean-up; describes strategies for discovery and targeted quantitation; reviews mass spectrometer calibration and verification; summarizes LC-MS instrumentation and data analysis tools; and highlights product features that ensure high yield, specificity and reproducibility.
• Sample lysis and extraction: detergent-based kits for cytosolic, membrane and subcellular fractionation of cultured cells and tissues; broad-spectrum protease and phosphatase inhibitors to preserve native states.
• Protein quantitation: BCA and micro-BCA assays for a broad linear range; robust removal of interfering detergents and salts by desalting or dialysis.
• Abundant protein depletion: antibody- and dye-based spin columns to remove albumin and immunoglobulins from plasma/serum, improving detection of low-abundance species.
• Enrichment techniques: immunoprecipitation (Protein A/G, streptavidin, magnetic beads) and activity-based probes (ATP/ADP, GTPase, serine hydrolase) for targeted capture of enzyme families and protein complexes.
• Protein digestion: MS-grade proteases (trypsin, Lys-C, Lys-N, Glu-C, Asp-N, chymotrypsin) with enhanced specificity and stability; in-gel and in-solution digestion kits with optimized reduction, alkylation and peptide recovery.
• Peptide clean-up: ultrafiltration, spin desalting, detergent removal, and concentration devices for buffer exchange and contaminant removal across 2 μL–250 mL.
• Phosphopeptide enrichment and fractionation: Fe-NTA and TiO2 resins for IMAC and MOAC enrichment; magnetic formats for high throughput; high-pH reversed-phase spin columns for orthogonal peptide separation.
• Instrument calibration and verification: standardized calibration solutions, performance-monitoring peptide/protein standards and QC reagents for ESI sources, orbitrap and triple quadrupole mass spectrometers.
• Chromatography and mass spectrometry: nano- and microflow LC systems (EASY-nLC, UltiMate RSLCnano), a wide range of C18 and monolithic columns; HRAM Orbitrap and TSQ triple quadrupole platforms for discovery and targeted workflows.
• Proteomics software: SEQUEST-based and other search engines for peptide identification, ProteinCenter for data interpretation, Proteome Discoverer for qualitative/quantitative analysis, and Pinpoint/TraceFinder for targeted assay design.
Comparative studies demonstrate that optimized reagent kits outperform traditional methods in yield, peptide identification and digestion completeness (e.g., 4-fold higher protein IDs with a streamlined sample-prep kit versus Filter-Aided methods). Subcellular fractionation achieves <15% cross-contamination and >5,000 protein IDs versus unfractionated lysate. Abundant protein depletion doubles unique peptide IDs in serum analysis. Activity-based probes effectively capture kinase, GTPase and hydrolase subsets, enabling detection of low-abundance enzymes. Cleavable and non-cleavable crosslinkers facilitate protein interaction mapping by MS2/MS3 strategies. Phosphopeptide recovery exceeds 90% selectivity, with Fe-NTA and TiO2 capturing complementary subsets. High-pH reversed-phase fractionation nearly doubles proteome coverage compared to unfractionated samples.
• Higher sensitivity and deeper coverage of complex proteomes
• Rapid, reproducible workflows for routine and high-throughput studies
• Effective capture of post-translational modifications and low-abundance targets
• Robust quality control and data consistency across labs and instruments
• Easy adoption of discovery and targeted assays for biomarker validation and industrial applications
Examples of key instrumentation include:
Emerging trends include data-independent acquisition (DIA) strategies for comprehensive quantitation, single-cell proteomics workflows, microfluidic sample processing, AI-driven data interpretation, and novel enrichment chemistries for challenging PTMs. Further automation and standardization will accelerate translational and clinical proteomics, while advances in MS hardware promise greater sensitivity, speed and mass resolution for next-generation applications.
Successful proteomics depends on the seamless integration of optimized reagents, consumables, instrumentation and software. Using validated sample-prep kits, precise quantitation strategies, targeted enrichment approaches and cutting-edge MS platforms, researchers can achieve unprecedented depth, accuracy and reproducibility in protein analysis. These tools empower discovery of new biomarkers, elucidation of signaling pathways and development of targeted assays across many fields.
1. Yates JR III, Eng JK, et al. Method to correlate tandem mass spectra of modified peptides to amino acid sequences in protein databases. Anal Chem 1995;67(8):1426–1436.
2. Mann M, Kelleher NL. Precision proteomics: The case for high resolution and high mass accuracy. Proc Natl Acad Sci USA 2008;105(47):18132–18138.
3. Haas W, Faherty BK, et al. Optimization and use of peptide mass measurement accuracy in shotgun proteomics. Mol Cell Proteomics 2006;5(7):1326–1337.
Sample Preparation, Consumables, LC/MS
IndustriesProteomics
ManufacturerThermo Fisher Scientific
Summary
Significance of the topic
Mass spectrometry–based proteomics has become the gold standard for global protein identification, quantitation and functional analysis in biology, biotechnology and clinical research. Precise and reproducible sample preparation, coupled with high-performance chromatography, accurate calibration, robust instrumentation and dedicated software, is essential to overcome the complexity and dynamic range of protein mixtures. Integrated workflows maximize sensitivity, depth of coverage and throughput, enabling discovery of low-abundance proteins, post-translational modifications and biomarker candidates.
Objectives and article overview
This white paper provides an end-to-end survey of reagents, consumables, instrumentation and software for proteomics sample preparation and quantitation. It outlines best practices for cell and tissue lysis, protein enrichment, digestion and clean-up; describes strategies for discovery and targeted quantitation; reviews mass spectrometer calibration and verification; summarizes LC-MS instrumentation and data analysis tools; and highlights product features that ensure high yield, specificity and reproducibility.
Methodology and instrumentation
• Sample lysis and extraction: detergent-based kits for cytosolic, membrane and subcellular fractionation of cultured cells and tissues; broad-spectrum protease and phosphatase inhibitors to preserve native states.
• Protein quantitation: BCA and micro-BCA assays for a broad linear range; robust removal of interfering detergents and salts by desalting or dialysis.
• Abundant protein depletion: antibody- and dye-based spin columns to remove albumin and immunoglobulins from plasma/serum, improving detection of low-abundance species.
• Enrichment techniques: immunoprecipitation (Protein A/G, streptavidin, magnetic beads) and activity-based probes (ATP/ADP, GTPase, serine hydrolase) for targeted capture of enzyme families and protein complexes.
• Protein digestion: MS-grade proteases (trypsin, Lys-C, Lys-N, Glu-C, Asp-N, chymotrypsin) with enhanced specificity and stability; in-gel and in-solution digestion kits with optimized reduction, alkylation and peptide recovery.
• Peptide clean-up: ultrafiltration, spin desalting, detergent removal, and concentration devices for buffer exchange and contaminant removal across 2 μL–250 mL.
• Phosphopeptide enrichment and fractionation: Fe-NTA and TiO2 resins for IMAC and MOAC enrichment; magnetic formats for high throughput; high-pH reversed-phase spin columns for orthogonal peptide separation.
• Instrument calibration and verification: standardized calibration solutions, performance-monitoring peptide/protein standards and QC reagents for ESI sources, orbitrap and triple quadrupole mass spectrometers.
• Chromatography and mass spectrometry: nano- and microflow LC systems (EASY-nLC, UltiMate RSLCnano), a wide range of C18 and monolithic columns; HRAM Orbitrap and TSQ triple quadrupole platforms for discovery and targeted workflows.
• Proteomics software: SEQUEST-based and other search engines for peptide identification, ProteinCenter for data interpretation, Proteome Discoverer for qualitative/quantitative analysis, and Pinpoint/TraceFinder for targeted assay design.
Main results and discussion
Comparative studies demonstrate that optimized reagent kits outperform traditional methods in yield, peptide identification and digestion completeness (e.g., 4-fold higher protein IDs with a streamlined sample-prep kit versus Filter-Aided methods). Subcellular fractionation achieves <15% cross-contamination and >5,000 protein IDs versus unfractionated lysate. Abundant protein depletion doubles unique peptide IDs in serum analysis. Activity-based probes effectively capture kinase, GTPase and hydrolase subsets, enabling detection of low-abundance enzymes. Cleavable and non-cleavable crosslinkers facilitate protein interaction mapping by MS2/MS3 strategies. Phosphopeptide recovery exceeds 90% selectivity, with Fe-NTA and TiO2 capturing complementary subsets. High-pH reversed-phase fractionation nearly doubles proteome coverage compared to unfractionated samples.
Benefits and practical applications
• Higher sensitivity and deeper coverage of complex proteomes
• Rapid, reproducible workflows for routine and high-throughput studies
• Effective capture of post-translational modifications and low-abundance targets
• Robust quality control and data consistency across labs and instruments
• Easy adoption of discovery and targeted assays for biomarker validation and industrial applications
Instrumentation used
Examples of key instrumentation include:
- Thermo Scientific™ Orbitrap Fusion™, Q Exactive™, Orbitrap Lumos™ and TSQ Quantiva™ mass spectrometers
- Thermo Scientific™ EASY-nLC™ 1200 and UltiMate™ 3000 RSLCnano chromatography systems
- C18 LC columns: Acclaim PepMap™, PepSwift Monolithic, EASY-Spray™
- Magnetic particle processors: KingFisher™ Flex
- LC-MS software: Proteome Discoverer™, ProteinCenter™, Pinpoint™, TraceFinder™
Future trends and opportunities
Emerging trends include data-independent acquisition (DIA) strategies for comprehensive quantitation, single-cell proteomics workflows, microfluidic sample processing, AI-driven data interpretation, and novel enrichment chemistries for challenging PTMs. Further automation and standardization will accelerate translational and clinical proteomics, while advances in MS hardware promise greater sensitivity, speed and mass resolution for next-generation applications.
Conclusion
Successful proteomics depends on the seamless integration of optimized reagents, consumables, instrumentation and software. Using validated sample-prep kits, precise quantitation strategies, targeted enrichment approaches and cutting-edge MS platforms, researchers can achieve unprecedented depth, accuracy and reproducibility in protein analysis. These tools empower discovery of new biomarkers, elucidation of signaling pathways and development of targeted assays across many fields.
Reference
1. Yates JR III, Eng JK, et al. Method to correlate tandem mass spectra of modified peptides to amino acid sequences in protein databases. Anal Chem 1995;67(8):1426–1436.
2. Mann M, Kelleher NL. Precision proteomics: The case for high resolution and high mass accuracy. Proc Natl Acad Sci USA 2008;105(47):18132–18138.
3. Haas W, Faherty BK, et al. Optimization and use of peptide mass measurement accuracy in shotgun proteomics. Mol Cell Proteomics 2006;5(7):1326–1337.
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