High-throughput profiling of histone post-translational modifications and chromatin modifying proteins by reverse phase protein array
Summary
Epigenetic variation plays a significant role in normal development and human diseases including cancer, in part through post-translational modifications (PTMs) of histones. Identification and profiling of changes in histone PTMs, and in proteins regulating PTMs, are crucial to understanding diseases, and for discovery of epigenetic therapeutic agents. In this study, we have adapted and validated an antibody-based reverse phase protein array (RPPA) platform for profiling 20 histone PTMs and expression of 40 proteins that modify histones and other epigenomic regulators. The specificity of the RPPA assay for histone PTMs was validated with synthetic peptides corresponding to histone PTMs and by detection of histone PTM changes in response to inhibitors of histone modifier proteins in cell cultures. The useful application of the RPPA platform was demonstrated with two models: induction of pluripotent stem cells and a mouse mammary tumor progression model. Described here is a robust platform that includes a rapid microscale method for histone isolation and partially automated workflows for analysis of histone PTMs and histone modifiers that can be performed in a high-throughput manner with hundreds of samples. This RPPA platform has potential for translational applications through the discovery and validation of epigenetic states as therapeutic targets and biomarkers. SIGNIFICANCE: Our study has established an antibody-based reverse phase protein array platform for global profiling of a wide range of post-translational modifications of histones and histone modifier proteins. The high-throughput platform provides comprehensive analyses of epigenetics for biological research and disease studies and may serve as screening assay for diagnostic purpose or therapy development. Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.
Authors | Wang X, Shi Z, Lu HY, Kim JJ, Bu W, Villalobos JA, Perera DN, Jung SY, Wang T, Grimm SL, Taylor BC, Rajapakshe K, Park H, Wulfkuhle J, Young NL, Li Y, Coarfa C, Edwards DP, Huang S |
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Journal | Journal of proteomics |
Publication Date | 2022 Jun 30;262:104596 |
PubMed | 35489683 |
PubMed Central | PMC10165948 |
DOI | 10.1016/j.jprot.2022.104596 |