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Updated: Feb 15, 2026

Quantitative Analysis of Chromatin Proteomes in Disease
Published on: December 28, 2012
Systematic quantitative analysis of H2A and H2B variants by targeted proteomics
Sara El Kennani1, Annie Adrait1, Olga Permiakova1
1INSERM U1038, CEA, BIG-BGE, Univ. Grenoble Alpes, Grenoble, France.
We developed a targeted proteomics method to accurately quantify diverse histone variants, even those differing by a single amino acid. This approach overcomes limitations of antibody-based assays for studying chromatin organization and function.
Area of Science:
- Molecular Biology
- Proteomics
- Epigenetics
Background:
- Histone variants are crucial for DNA organization into chromatin and functional modulation.
- Traditional antibody-based assays struggle to differentiate between highly similar histone variants.
- There is a need for precise methods to quantify histone variants and their isoforms.
Purpose of the Study:
- To establish a mass spectrometry-based targeted proteomics method for quantifying numerous histone variants simultaneously.
- To overcome the limitations of antibody-based assays in distinguishing closely related histone variants.
- To apply this method to analyze histone variant expression in complex biological samples.
Main Methods:
- Developed a targeted proteomics assay using selected reaction monitoring (SRM) or parallel reaction monitoring (PRM).
- Utilized 55 peptides representing 25 distinct histone sequences, including those differing by a single amino acid.
- Applied the method to crude extracts, specifically analyzing H2A and H2B variants in mouse testis.
Main Results:
- Successfully quantified a maximum number of histone variants in a single multiplexed assay.
- Confirmed abundance profiles of testis-specific histones during spermatogenesis.
- Identified predicted H2A.L.1 isoforms and explored their overexpression in a male infertility model.
Conclusions:
- Targeted proteomics is a powerful tool for quantifying highly similar histone variants and isoforms.
- The developed method can be readily adapted for studying human histone variants.
- This approach has potential applications in understanding diseases associated with deregulated histone variant abundance.
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