Nucleic Acids ResearchGenomicsPeer-reviewed journal article
Integrative analysis reveals extensive interactions among C2H2 zinc finger proteins at chromatin loop anchors
Ernest Radovani, Syed Nabeel‐ShahiD, Edyta Marcon, Shuye PuiD, Guoqing Zhong, Hua Tang, Hongbo GuoiD, Irene M. KaplowiD, Andrew EmiliiD, Timothy HughesiD, Jack F. GreenblattiD
Abstract
Cys2-His2 -zinc-finger proteins (C2H2-ZFPs) form the largest class of human transcription factors, yet their potential role (s) in higher-order genome organization has remained largely poorly defined. To date, only a small number of family members, e.g., CTCF and YY1, have been shown to function in chromatin organization. Here, we examined the global relationship between C2H2-ZFPs and long-range chromatin interactions (LRIs). By integrating ChIP-seq datasets for 216 C2H2-ZFPs and genome-wide maps of chromatin looping, we observe that more than 40% of the human C2H2-ZFPs are significantly enriched at LRI anchors. We found that depletion of a subset of such C2H2-ZFPs is associated with altered expression of genes linked by the LRIs they occupy. To investigate whether protein-protein interactions (PPIs) contribute to this pattern, we generated a large-scale interactome using affinity purification followed by mass spectrometry experiments, encompassing 345 C2H2-ZFPs, and LUMIER binary interaction assays for 204 C2H2-ZFPs. We identified 1,732 binary interactions, suggesting extensive connectivity among the C2H2-ZFP family members. Integrative analysis of PPI, ChIP-seq, and chromatin interaction datasets revealed that interacting C2H2-ZFP pairs are significantly co-enriched at LRIs and frequently localize to either the same or opposing loop anchors. Finally, by correlating ChIP-seq with cancer mutational datasets, we observe that DNA-binding sites of [~]35% of LRI-associated C2H2-ZFPs overlap somatic mutations in cancer genomes. Together, our results reveal a widespread network of C2H2-ZFP interactions associated with chromatin loop anchors, providing an important resource for elucidating mechanisms regulating chromatin organization.
- organism: human
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 1
- FWCI
- 2.05
- Field percentile
- top 17%
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