Proteomics

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Label free mass spectrometry-based quantification of linker histone H1 variants in clinical samples


ABSTRACT: 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 microdissected tissue areas containing as low as 1000 cells.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Pancreatic Acinar Cell, Pancreas, Fibroblast

SUBMITTER: Roberta Noberini  

LAB HEAD: Tiziana Bonaldi

PROVIDER: PXD020537 | Pride | 2021-03-16

REPOSITORIES: Pride

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

Noberini Roberta R   Morales Torres Cristina C   Savoia Evelyn Oliva EO   Brandini Stefania S   Jodice Maria Giovanna MG   Bertalot Giovanni G   Bonizzi Giuseppina G   Capra Maria M   Diaferia Giuseppe G   Scaffidi Paola P   Bonaldi Tiziana T  

International journal of molecular sciences 20201004 19


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 t  ...[more]

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