New publication for the Mathelier Group
Congratulations to the Mathelier Group on their recent publication in the journal Nucleic Acids Research. PhD student in the Mathelier Group, Marius Gheorghe, is first author on the paper.
Marius Gheorghe, Geir Kjetil Sandve, Aziz Khan, Jeanne Chèneby, Benoit Ballester, Anthony Mathelier, “A map of direct TF–DNA interactions in the human genome", Nucleic Acids Research, gky1210, https://doi.org/10.1093/nar/gky1210
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is the most popular assay to identify genomic regions, called ChIP-seq peaks, that are bound in vivo by transcription factors (TFs). These regions are derived from direct TF–DNA interactions, indirect binding of the TF to the DNA (through a co-binding partner), nonspecific binding to the DNA, and noise/bias/artifacts. Delineating the bona fide direct TF–DNA interactions within the ChIP-seq peaks remains challenging. We developed a dedicated software, ChIP-eat, that combines computational TF binding models and ChIP-seq peaks to automatically predict direct TF–DNA interactions. Our work culminated with predicted interactions covering >4% of the human genome, obtained by uniformly processing 1983 ChIP-seq peak data sets from the ReMap database for 232 unique TFs. The predictions were a posteriori assessed using protein binding microarray and ChIP-exo data, and were predominantly found in high quality ChIP-seq peaks. The set of predicted direct TF–DNA interactions suggested that high-occupancy target regions are likely not derived from direct binding of the TFs to the DNA. Our predictions derived co-binding TFs supported by protein-protein interaction data and defined cis-regulatory modules enriched for disease- and trait-associated SNPs. We provide this collection of direct TF–DNA interactions and cis-regulatory modules through the UniBind web-interface (http://unibind.uio.no).
Read the paper, "A map of direct TF–DNA interactions in the human genome" in full on the Nucleic Acids Research website.