title: Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis.
abstract: The large number of chemical modifications that are found on the histone proteins of eukaryotic cells form multiple complex combinations, which can act as recognition signals for reader proteins. We have used peptide capture in conjunction with super-SILAC quantification to carry out an unbiased high-throughput analysis of the composition of protein complexes that bind to histone H3K9/S10 and H3K27/S28 methyl-phospho modifications. The accurate quantification allowed us to perform Weighted correlation network analysis (WGCNA) to obtain a systems-level view of the histone H3 histone tail interactome. The analysis reveals the underlying modularity of the histone reader network with members of nuclear complexes exhibiting very similar binding signatures, which suggests that many proteins bind to histones as part of pre-organized complexes. Our results identify a novel complex that binds to the double H3K9me3/S10ph modification, which includes Atrx, Daxx and members of the FACT complex. The super-SILAC approach allows comparison of binding to multiple peptides with different combinations of modifications and the resolution of the WGCNA analysis is enhanced by maximizing the number of combinations that are compared. This makes it a useful approach for assessing the effects of changes in histone modification combinations on the composition and function of bound complexes.
authors.affiliation: Gene Regulation and Chromatin Group, MRC Clinical Sciences Centre, Imperial College, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK.
authors.forename: Natalia
authors.initials: N
authors.lastname: Kunowska
authors.affiliation: Integrative Genomics and Medicine Group, MRC Clinical Sciences Centre, Imperial College, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK.
authors.forename: Maxime
authors.initials: M
authors.lastname: Rotival
authors.affiliation: Proteomic Mass Spectrometry, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.
authors.forename: Lu
authors.initials: L
authors.lastname: Yu
authors.affiliation: Proteomic Mass Spectrometry, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.
authors.forename: Jyoti
authors.initials: J
authors.lastname: Choudhary
authors.affiliation: Gene Regulation and Chromatin Group, MRC Clinical Sciences Centre, Imperial College, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK niall.dillon@csc.mrc.ac.uk.
authors.forename: Niall
authors.initials: N
authors.lastname: Dillon
mesh_terms: D000818:Animals; D045744:Cell Line, Tumor; D020650:Combinatorial Chemistry Techniques; D006657:Histones / Q000378:metabolism*; D013058:Mass Spectrometry; D051379:Mice; D011506:Proteins / Q000378:metabolism*
chemical_list: D006657:Histones; D011506:Proteins