Proteomic Workflows for High-Quality Quantitative Proteome and Post-Translational Modification Analysis of Clinically Relevant Samples from Formalin-Fixed Paraffin-Embedded Archives.

FFPE tissue cancer clinical proteomics high throughput isobaric labeling (TMT) lung adenocarcinoma lysine acetylation stoichiometry mass spectrometry sample preparation suspension trapping (S-Trap)

Journal

Journal of proteome research
ISSN: 1535-3907
Titre abrégé: J Proteome Res
Pays: United States
ID NLM: 101128775

Informations de publication

Date de publication:
01 01 2021
Historique:
pubmed: 11 12 2020
medline: 22 6 2021
entrez: 10 12 2020
Statut: ppublish

Résumé

Well-characterized archival formalin-fixed paraffin-embedded (FFPE) tissues are of much value for prospective biomarker discovery studies, and protocols that offer high throughput and good reproducibility are essential in proteomics. Therefore, we implemented efficient paraffin removal and protein extraction from FFPE tissues followed by an optimized two-enzyme digestion using suspension trapping (S-Trap). The protocol was then combined with TMTpro 16plex labeling and applied to lung adenocarcinoma patient samples. In total, 9585 proteins were identified, and proteins related to the clinical outcome were detected. Because acetylation is known to play a major role in cancer development, a fast on-trap acetylation protocol was developed for studying endogenous lysine acetylation, which allows identification and localization of the lysine acetylation together with quantitative comparison between samples. We demonstrated that FFPE tissues are equivalent to frozen tissues to study the degree of acetylation between patients. In summary, we present a reproducible sample preparation workflow optimized for FFPE tissues that resolves known proteomic-related challenges. We demonstrate compatibility of the S-Trap with isobaric labeling and for the first time, we prove that it is feasible to study endogenous lysine acetylation stoichiometry in FFPE tissues, contributing to better utility of the existing global tissue archives. The MS proteomic data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifiers PXD020157, PXD021986, and PXD021964.

Identifiants

pubmed: 33301673
doi: 10.1021/acs.jproteome.0c00850
doi:

Substances chimiques

Proteome 0
Formaldehyde 1HG84L3525

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1027-1039

Auteurs

Magdalena Kuras (M)

Div. Clinical Chemistry, Dept. of Translational Medicine, Lund University, Skåne University Hospital Malmö, Malmö 20502, Sweden.

Nicole Woldmar (N)

Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.
Laboratory of Molecular Biology and Blood Proteomics - LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil.

Yonghyo Kim (Y)

Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.

Max Hefner (M)

Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.

Johan Malm (J)

Div. Clinical Chemistry, Dept. of Translational Medicine, Lund University, Skåne University Hospital Malmö, Malmö 20502, Sweden.

Judit Moldvay (J)

Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.

Balázs Döme (B)

Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.
Dept. of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest 1085, Hungary.
Div. of Thoracic Surgery, Dept. of Surgery, Comprehensive Cancer Center Vienna, Medical University Vienna, Vienna 1090, Austria.

János Fillinger (J)

Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.
Dept. of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest 1085, Hungary.

Luciana Pizzatti (L)

Laboratory of Molecular Biology and Blood Proteomics - LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil.

Jeovanis Gil (J)

Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.

György Marko-Varga (G)

Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.

Melinda Rezeli (M)

Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.

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Classifications MeSH