Label-Free Mass Spectrometry-Based Quantification of Linker Histone H1 Variants in Clinical Samples.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
04 Oct 2020
Historique:
received: 27 07 2020
revised: 25 09 2020
accepted: 28 09 2020
entrez: 6 10 2020
pubmed: 7 10 2020
medline: 13 3 2021
Statut: epublish

Résumé

Epigenetic aberrations have been recognized as important contributors to cancer onset and development, and increasing evidence suggests that linker histone H1 variants may serve as biomarkers useful for patient stratification, as well as play an important role as drivers in cancer. Although traditionally histone H1 levels have been studied using antibody-based methods and RNA expression, these approaches suffer from limitations. Mass spectrometry (MS)-based proteomics represents the ideal tool to accurately quantify relative changes in protein abundance within complex samples. In this study, we used a label-free quantification approach to simultaneously analyze all somatic histone H1 variants in clinical samples and verified its applicability to laser micro-dissected tissue areas containing as low as 1000 cells. We then applied it to breast cancer patient samples, identifying differences in linker histone variants patters in primary triple-negative breast tumors with and without relapse after chemotherapy. This study highlights how label-free quantitation by MS is a valuable option to accurately quantitate histone H1 levels in different types of clinical samples, including very low-abundance patient tissues.

Identifiants

pubmed: 33020374
pii: ijms21197330
doi: 10.3390/ijms21197330
pmc: PMC7582528
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Histones 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Wellcome Trust
ID : FC001152
Pays : United Kingdom
Organisme : Cancer Research UK
ID : FC001152
Pays : United Kingdom
Organisme : Associazione Italiana per la Ricerca sul Cancro
ID : 15741
Organisme : Wellcome Trust
ID : FC001152
Pays : United Kingdom
Organisme : Horizon 2020 Framework Programme
ID : 823839
Organisme : Ministero della Salute
ID : GR-2016-02361522

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Auteurs

Roberta Noberini (R)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Cristina Morales Torres (C)

Cancer Epigenetics Laboratory, Francis Crick Institute, London NW1 1AT, UK.

Evelyn Oliva Savoia (EO)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Stefania Brandini (S)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Maria Giovanna Jodice (MG)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Giovanni Bertalot (G)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Giuseppina Bonizzi (G)

Biobank for Translational Medicine Unit (B4MED), Department of Pathology and Laboratory Medicine, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Maria Capra (M)

Biobank for Translational Medicine Unit (B4MED), Department of Pathology and Laboratory Medicine, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Giuseppe Diaferia (G)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

Paola Scaffidi (P)

Cancer Epigenetics Laboratory, Francis Crick Institute, London NW1 1AT, UK.

Tiziana Bonaldi (T)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy.

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Classifications MeSH