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Achieving robust, accurate TMT quantitation efficiency with Tribrid technology

Technical notes | 2017 | Thermo Fisher ScientificInstrumentation
LC/HRMS, LC/MS, LC/MS/MS, LC/Orbitrap
Industries
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the topic


Multiplexed isobaric tagging using Tandem Mass Tags (TMT) enables simultaneous quantitation of multiple biological samples in a single mass spectrometry run. This approach addresses limitations of label-free and SILAC methods by reducing instrument time, sample requirements and missing values, while enhancing throughput and statistical power in proteomic studies.

Objectives and Study Overview


The primary aim is to demonstrate the advantages of synchronous precursor selection (SPS) MS3 on Thermo Scientific Tribrid Orbitrap mass spectrometers for high-throughput, accurate TMT10plex quantitation. The study evaluates how SPS MS3 overcomes reporter ion ratio distortion caused by co-isolated contaminants, while maintaining sensitivity and depth of coverage.

Methodology and Instrumentation


The workflow begins with protein digestion and labeling of up to ten samples using TMT10plex reagents. Peptides are separated by reversed-phase liquid chromatography and introduced into the Tribrid MS system. A full MS scan in the Orbitrap followed by MS2 fragmentation in the linear ion trap isolates targeted precursors. SPS then co-isolates multiple MS2 fragment ions using multi-frequency notches in the ion routing multipole, subjects them to HCD fragmentation, and acquires high-resolution MS3 spectra in the Orbitrap. Key hardware features include:
  • Ultra-high-field Orbitrap analyzer: resolution up to 500,000 at m/z 200, scan rates to 20 Hz.
  • Dual-pressure linear ion trap and ion routing multipole for parallel CID and HCD MSn.
  • Enhanced source optics (HCTT and EDIF) and segmented quadrupole for increased ion transmission and selectivity.

Main Results and Discussion


SPS MS3 markedly increases reporter ion signal intensity and restores quantitative accuracy by reducing ratio compression. In a comparison of cancer cell line proteomes, over 172,000 protein abundance changes were quantified with high reproducibility. Hardware improvements permit narrow precursor isolation windows (0.4 m/z) without loss of identifications and a 2- to 5-fold sensitivity boost over previous platforms.

Benefits and Practical Applications


  • High multiplexing: compare up to ten conditions in a single experiment.
  • Enhanced throughput: fewer LC-MS runs and reduced sample consumption.
  • Improved data completeness: fewer missing values and stronger statistical analyses.
  • Broad sample compatibility: cells, tissues and biological fluids can all be labeled with TMT.

Future Trends and Opportunities


Emerging directions include expanding isobaric tag channels beyond ten, integrating advanced fragmentation modes such as EThcD at the MS3 level, applying SPS MS3 in single-cell and spatial proteomics, and leveraging artificial intelligence for data interpretation. These developments are poised to further increase depth, throughput and biological insight in quantitative proteomics.

Conclusion


Synchronous precursor selection MS3 on Tribrid Orbitrap instruments offers a robust solution for accurate, high-throughput TMT quantitation. By combining improved hardware design with multi-notch MS3 acquisition, this approach delivers enhanced sensitivity, reliability and coverage for large-scale comparative proteomic studies.

References


  1. Ow SY, Salim M, Noirel J, Evans C, Rehman I, Wright PC. iTRAQ Underestimation in Simple and Complex Mixtures: The Good, the Bad and the Ugly. J Proteome Res. 2009;8(11):5347–5355.
  2. Ting L, Rad R, Gygi SP, Haas W. MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics. Nat Methods. 2011;8:937–940.
  3. McAlister GC, Nusinow DP, Jedrychowski MP, et al. MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes. Anal Chem. 2014;86:7150–7158.
  4. Saba J, Viner R. High Throughput Quantitative Proteomics Using Isobaric Tags. C&EN Whitepaper. American Chemical Society.
  5. Minajigi A, Froberg JE, Wei C, et al. A comprehensive Xist interactome reveals cohesin repulsion and an RNA-directed chromosome conformation. Science. 2015;349.
  6. Klein T, Fung S, Renner F, et al. The paracaspase MALT1 cleaves HOIL1 reducing linear ubiquitination by LUBAC to dampen lymphocyte NF-κB signalling. Nat Commun. 2015;6.
  7. Christoforou A, Mulvey C, Breckels L, et al. A draft map of the mouse pluripotent stem cell spatial proteome. Nat Commun. 2016;7.
  8. Mehrabian M, Brethour D, MacIsaac S, Kim JK, Gunawardana CG, Schmitt-Ulms G. CRISPR-Cas9-based knockout of the prion protein and its effect on the proteome. PLoS ONE. 2014;9(12):e114594.
  9. Nicolay B, Danielian P, Kottakis F, et al. Proteomic analysis of pRb loss highlights a signature of decreased mitochondrial oxidative phosphorylation. Genes Dev. 2015;29:1875–1889.

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