Literature DB >> 32154592

A streamlined mass spectrometry-based proteomics workflow for large scale FFPE tissue analysis.

Fabian Coscia1,2, Sophia Doll2, Jacob Mathias Bech3, Lisa Schweizer2, Andreas Mund2, Ernst Lengyel4, Jan Lindebjerg5, Gunvor Iben Madsen6, José M A Moreira3, Matthias Mann1,2.   

Abstract

Formalin fixation and paraffin-embedding (FFPE) is the most common method to preserve human tissue for clinical diagnosis and FFPE archives represent an invaluable resource for biomedical research. Proteins in FFPE material are stable over decades but their efficient extraction and streamlined analysis by mass spectrometry (MS)-based proteomics has so far proven challenging. Here, we describe an MS-based proteomic workflow for quantitative profiling of large FFPE tissue cohorts directly from histopathology glass slides. We demonstrate broad applicability of the workflow to clinical pathology specimens and variable sample amounts, including low-input cancer tissue isolated by laser microdissection. Using state-of-the-art data dependent acquisition (DDA) and data independent (DIA) MS workflows, we consistently quantify a large part of the proteome in 100 min single-run analyses. In an adenoma cohort comprising more than 100 samples, total work up took less than a day. We observed a moderate trend towards lower protein identifications in long-term stored samples (>15 years) but clustering into distinct proteomic subtypes was independent of archival time. Our results underline the great promise of FFPE tissues for patient phenotyping using unbiased proteomics and prove the feasibility of analyzing large tissue cohorts in a robust, timely and streamlined manner. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Adenoma; Biobank samples; FFPE tissue; High-throughput, Protocol, Biomarker discovery; Mass spectrometry; Proteomics

Year:  2020        PMID: 32154592     DOI: 10.1002/path.5420

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  24 in total

1.  Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot.

Authors:  Yu Han; Cody T Thomas; Sara A Wennersten; Edward Lau; Maggie P Y Lam
Journal:  J Vis Exp       Date:  2021-10-28       Impact factor: 1.355

Review 2.  Prediction of peptide mass spectral libraries with machine learning.

Authors:  Jürgen Cox
Journal:  Nat Biotechnol       Date:  2022-08-25       Impact factor: 68.164

Review 3.  Phosphoproteomics: a valuable tool for uncovering molecular signaling in cancer cells.

Authors:  Jacqueline S Gerritsen; Forest M White
Journal:  Expert Rev Proteomics       Date:  2021-09-16       Impact factor: 4.250

4.  Identification of early neurodegenerative pathways in progressive multiple sclerosis.

Authors:  Max Kaufmann; Anna-Lena Schaupp; Rosa Sun; Fabian Coscia; Calliope A Dendrou; Adrian Cortes; Gurman Kaur; Hayley G Evans; Annelie Mollbrink; José Fernández Navarro; Jana K Sonner; Christina Mayer; Gabriele C DeLuca; Joakim Lundeberg; Paul M Matthews; Kathrine E Attfield; Manuel A Friese; Matthias Mann; Lars Fugger
Journal:  Nat Neurosci       Date:  2022-06-20       Impact factor: 28.771

5.  Quantitative Analysis of Tyrosine Phosphorylation from FFPE Tissues Reveals Patient-Specific Signaling Networks.

Authors:  Ishwar N Kohale; Danielle M Burgenske; Ann C Mladek; Katrina K Bakken; Jenevieve Kuang; Judy C Boughey; Liewei Wang; Jodi M Carter; Eric B Haura; Matthew P Goetz; Jann N Sarkaria; Forest M White
Journal:  Cancer Res       Date:  2021-05-20       Impact factor: 12.701

Review 6.  Comparative evaluation of two methods for LC-MS/MS proteomic analysis of formalin fixed and paraffin embedded tissues.

Authors:  Katarina Davalieva; Sanja Kiprijanovska; Aleksandar Dimovski; Gorazd Rosoklija; Andrew J Dwork
Journal:  J Proteomics       Date:  2021-01-14       Impact factor: 4.044

7.  Protein Extraction From FFPE Kidney Tissue Samples: A Review of the Literature and Characterization of Techniques.

Authors:  Maria García-Vence; Maria Del Pilar Chantada-Vazquez; Ana Sosa-Fajardo; Rebeca Agra; Ana Barcia de la Iglesia; Alfonso Otero-Glez; Miguel García-González; José M Cameselle-Teijeiro; Cristina Nuñez; Juan J Bravo; Susana B Bravo
Journal:  Front Med (Lausanne)       Date:  2021-05-13

8.  Evolution of proteomics technologies for understanding respiratory syncytial virus pathogenesis.

Authors:  Morgan Mann; Allan R Brasier
Journal:  Expert Rev Proteomics       Date:  2021-05-31       Impact factor: 4.250

9.  Isolating and Analyzing Protein Containing Granules from Cells.

Authors:  Rachel A Victor; Valery F Thompson; Jacob C Schwartz
Journal:  Curr Protoc       Date:  2021-03

10.  Comprehensive micro-scaled proteome and phosphoproteome characterization of archived retrospective cancer repositories.

Authors:  Corinna Friedrich; Simon Schallenberg; Marieluise Kirchner; Matthias Ziehm; Sylvia Niquet; Mohamed Haji; Christin Beier; Jens Neudecker; Frederick Klauschen; Philipp Mertins
Journal:  Nat Commun       Date:  2021-06-11       Impact factor: 14.919

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