Literature DB >> 30919622

Accurate Quantitative Proteomic Analyses Using Metabolic Labeling and High Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS).

Sibylle Pfammatter, Eric Bonneil, Francis P McManus, Pierre Thibault.   

Abstract

Stable isotope labeling by amino acids in cell culture (SILAC) is routinely used to profile changes in protein and peptide abundance across different experimental paradigms. As with other quantitative proteomic approaches, the detection of peptide isotopomers can be limited by the presence of interference ions that ultimately affect the quality of quantitative measurements. Here, we evaluate high field asymmetric waveform ion mobility spectrometry (FAIMS) to improve the accuracy and dynamic range of quantitative proteomic analyses using SILAC. We compared quantitative measurements for tryptic digests of isotopically labeled protein extracts mixed in different ratios using LC-MS/MS with and without FAIMS. To further reduce sample complexity, we also examined the improvement in quantitative measurements when combining strong cation exchange (SCX) fractionation prior to LC-MS/MS analyses. Using the same amount of sample consumed, analyses performed using FAIMS provided more than 30% and 200% increase in the number of quantifiable peptides compared to LC-MS/MS performed with and without SCX fractionation, respectively. Furthermore, FAIMS reduced the occurrence of interfering isobaric ions and improved the accuracy of quantitative measurements. We leveraged the application of FAIMS in phosphoproteomic analyses to profile dynamic changes in protein phosphorylation in HEK293 cells subjected to heat shock for periods up to 20 min. In addition to the enhanced phosphoproteomic coverage, FAIMS also provided the ability to separate phosphopeptide isomers that often coelute and can be misassigned in conventional LC-MS/MS experiments.

Keywords:  LC−MS/MS; accuracy; coelution; differential ion mobility; high field asymmetric waveform ion mobility spectrometry (FAIMS); mass spectrometry; phosphorylation; proteomics; quantitative proteomics; stable isotope labeling by amino acids in culture (SILAC)

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Year:  2019        PMID: 30919622     DOI: 10.1021/acs.jproteome.9b00021

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  10 in total

Review 1.  Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging.

Authors:  Xinyue Liu; Rose Fields; Devin K Schweppe; Joao A Paulo
Journal:  Expert Rev Proteomics       Date:  2021-10-28       Impact factor: 3.940

2.  Improved Sensitivity of Ultralow Flow LC-MS-Based Proteomic Profiling of Limited Samples Using Monolithic Capillary Columns and FAIMS Technology.

Authors:  Michal Greguš; James C Kostas; Somak Ray; Susan E Abbatiello; Alexander R Ivanov
Journal:  Anal Chem       Date:  2020-10-15       Impact factor: 6.986

3.  Optimized Workflow for Multiplexed Phosphorylation Analysis of TMT-Labeled Peptides Using High-Field Asymmetric Waveform Ion Mobility Spectrometry.

Authors:  Devin K Schweppe; Scott F Rusin; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2019-12-18       Impact factor: 4.466

Review 4.  Advances in quantitative high-throughput phosphoproteomics with sample multiplexing.

Authors:  Joao A Paulo; Devin K Schweppe
Journal:  Proteomics       Date:  2021-03-30       Impact factor: 3.984

5.  Global Phosphoproteome Analysis Using High-Field Asymmetric Waveform Ion Mobility Spectrometry on a Hybrid Orbitrap Mass Spectrometer.

Authors:  Laura K Muehlbauer; Alexander S Hebert; Michael S Westphall; Evgenia Shishkova; Joshua J Coon
Journal:  Anal Chem       Date:  2020-12-03       Impact factor: 6.986

6.  SP3-Enabled Rapid and High Coverage Chemoproteomic Identification of Cell-State-Dependent Redox-Sensitive Cysteines.

Authors:  Heta S Desai; Tianyang Yan; Fengchao Yu; Alexander W Sun; Miranda Villanueva; Alexey I Nesvizhskii; Keriann M Backus
Journal:  Mol Cell Proteomics       Date:  2022-02-25       Impact factor: 7.381

7.  Microscaled proteogenomic methods for precision oncology.

Authors:  Shankha Satpathy; Eric J Jaehnig; Karsten Krug; Beom-Jun Kim; Alexander B Saltzman; Doug W Chan; Kimberly R Holloway; Meenakshi Anurag; Chen Huang; Purba Singh; Ari Gao; Noel Namai; Yongchao Dou; Bo Wen; Suhas V Vasaikar; David Mutch; Mark A Watson; Cynthia Ma; Foluso O Ademuyiwa; Mothaffar F Rimawi; Rachel Schiff; Jeremy Hoog; Samuel Jacobs; Anna Malovannaya; Terry Hyslop; Karl R Clauser; D R Mani; Charles M Perou; George Miles; Bing Zhang; Michael A Gillette; Steven A Carr; Matthew J Ellis
Journal:  Nat Commun       Date:  2020-01-27       Impact factor: 14.919

8.  The addition of FAIMS increases targeted proteomics sensitivity from FFPE tumor biopsies.

Authors:  Steve Sweet; David Chain; Wen Yu; Philip Martin; Marlon Rebelatto; Andrew Chambers; Fabiola Cecchi; Yeoun Jin Kim
Journal:  Sci Rep       Date:  2022-08-16       Impact factor: 4.996

Review 9.  [Applications of ion mobility-mass spectrometry in the chemical analysis in traditional Chinese medicines].

Authors:  Rongrong Zhai; Wen Gao; Mengning Li; Hua Yang
Journal:  Se Pu       Date:  2022-09

10.  Phosphoproteomics Sample Preparation Impacts Biological Interpretation of Phosphorylation Signaling Outcomes.

Authors:  Bharath Sampadi; Leon H F Mullenders; Harry Vrieling
Journal:  Cells       Date:  2021-12-03       Impact factor: 6.600

  10 in total

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