Advances in mass spectrometry (MS) have revolutionized the ability to measure global changes in histone post-translational modifications (PTMs). The method routinely quantifies over 60 modification states in a single sample, far exceeding the capabilities of traditional western blotting. Thus, MS-based histone analysis has become an increasingly popular tool for understanding how genetics and environmental factors influence epigenetic states. However, histone proteomics experiments exhibit unique challenges, such as batch-to-batch reproducibility, accurate peak integration, and noisy data. Here, we discuss the steps of histone PTM analysis, from sample preparation and peak integration to data analysis and validation. We outline a set of best practices for ensuring data quality, accurate normalization, and robust statistics. Using these practices, we quantify histone modifications in 5 human cell lines, revealing that each cell line exhibits a unique epigenetic signature. We also provide a reproducible workflow for histone PTM analysis in the form of an R script, which is freely available at https://github.com/DenuLab/HistoneAnalysisWorkflow.
A practical guide for analysis of histone post-translational modifications by mass spectrometry: best practices and pitfalls.
Sydney P. Thomas,Spencer A. Haws,Laura E Borth,J. Denu
Published 2019 in Methods
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- Publication year
2019
- Venue
Methods
- Publication date
2019-12-06
- Fields of study
Biology, Medicine, Chemistry, Computer Science
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Semantic Scholar, PubMed
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