Literature DB >> 34735149

Evaluation of Disposable Trap Column nanoLC-FAIMS-MS/MS for the Proteomic Analysis of FFPE Tissue.

Stephan Eckert1,2,3, Yun-Chien Chang1, Florian P Bayer1, Matthew The1, Peer-Hendrik Kuhn2,3, Wilko Weichert2,3, Bernhard Kuster1,3,4.   

Abstract

Proteomic biomarker discovery using formalin-fixed paraffin-embedded (FFPE) tissue requires robust workflows to support the analysis of large cohorts of patient samples. It also requires finding a reasonable balance between achieving a high proteomic depth and limiting the overall analysis time. To this end, we evaluated the merits of online coupling of single-use disposable trap column nanoflow liquid chromatography, high-field asymmetric-waveform ion-mobility spectrometry (FAIMS), and tandem mass spectrometry (nLC-FAIMS-MS/MS). The data show that ≤600 ng of peptide digest should be loaded onto the chromatographic part of the system. Careful characterization of the FAIMS settings enabled the choice of optimal combinations of compensation voltages (CVs) as a function of the employed LC gradient time. We found nLC-FAIMS-MS/MS to be on par with StageTip-based off-line basic pH reversed-phase fractionation in terms of proteomic depth and reproducibility of protein quantification (coefficient of variation ≤15% for 90% of all proteins) but requiring 50% less sample and substantially reducing sample handling. Using FFPE materials from the lymph node, lung, and prostate tissue as examples, we show that nLC-FAIMS-MS/MS can identify 5000-6000 proteins from the respective tissue within a total of 3 h of analysis time.

Entities:  

Keywords:  FFPE analysis; LC−FAIMS−MS/MS; clinical proteomics; high-field asymmetric waveform ion mobility spectrometry (FAIMS); quantitative proteomics

Mesh:

Substances:

Year:  2021        PMID: 34735149      PMCID: PMC7612824          DOI: 10.1021/acs.jproteome.1c00695

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   5.370


  27 in total

1.  Enhancement of mass spectrometry performance for proteomic analyses using high-field asymmetric waveform ion mobility spectrometry (FAIMS).

Authors:  Eric Bonneil; Sibylle Pfammatter; Pierre Thibault
Journal:  J Mass Spectrom       Date:  2015-11       Impact factor: 1.982

2.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

3.  Spatially resolved analysis of FFPE tissue proteomes by quantitative mass spectrometry.

Authors:  Katarzyna Buczak; Joanna M Kirkpatrick; Felicia Truckenmueller; Deolinda Santinha; Lino Ferreira; Stephanie Roessler; Stephan Singer; Martin Beck; Alessandro Ori
Journal:  Nat Protoc       Date:  2020-07-31       Impact factor: 13.491

4.  Data-Independent Acquisition Mass Spectrometry To Quantify Protein Levels in FFPE Tumor Biopsies for Molecular Diagnostics.

Authors:  Yeoun Jin Kim; Steve M M Sweet; Jarrett D Egertson; Andrew J Sedgewick; Sunghee Woo; Wei-Li Liao; Gennifer E Merrihew; Brian C Searle; Charlie Vaske; Robert Heaton; Michael J MacCoss; Todd Hembrough
Journal:  J Proteome Res       Date:  2018-12-12       Impact factor: 4.466

5.  Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips.

Authors:  Juri Rappsilber; Matthias Mann; Yasushi Ishihama
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

6.  Gas-phase separation using a trapped ion mobility spectrometer.

Authors:  Francisco Fernandez-Lima; Desmond A Kaplan; J Suetering; Melvin A Park
Journal:  Int J Ion Mobil Spectrom       Date:  2011-09

7.  Efficient extraction of proteins from formalin-fixed paraffin-embedded tissues requires higher concentration of tris(hydroxymethyl)aminomethane.

Authors:  Yusuke Kawashima; Yoshio Kodera; Anil Singh; Masaomi Matsumoto; Hiroyuki Matsumoto
Journal:  Clin Proteomics       Date:  2014-02-01       Impact factor: 3.988

8.  Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research.

Authors:  Christopher S Hughes; Melissa K McConechy; Dawn R Cochrane; Tayyebeh Nazeran; Anthony N Karnezis; David G Huntsman; Gregg B Morin
Journal:  Sci Rep       Date:  2016-10-07       Impact factor: 4.379

9.  Proteomic maps of breast cancer subtypes.

Authors:  Stefka Tyanova; Reidar Albrechtsen; Pauliina Kronqvist; Juergen Cox; Matthias Mann; Tamar Geiger
Journal:  Nat Commun       Date:  2016-01-04       Impact factor: 14.919

10.  Loss-less Nano-fractionator for High Sensitivity, High Coverage Proteomics.

Authors:  Nils A Kulak; Philipp E Geyer; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2017-01-26       Impact factor: 5.911

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