bioRxivGeneticsPreprint
Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell types
Taylor M. Lagler, Yuchen YangiD, Yuriko HarigayaiD, Vijay G. SankaraniD, Ming HuiD, Alex P. ReineriD, Laura M. RaffieldiD, Jia WeniD, Yun LiiD
Abstract
Existing studies of chromatin conformation have primarily focused on potential enhancers interacting with gene promoters. By contrast, the interactivity of promoters per se, while equally critical to understanding transcriptional control, has been largely unexplored, particularly in a cell type-specific manner for blood lineage cell types. In this study, we leverage promoter capture Hi-C data across a compendium of blood lineage cell types to identify and characterize cell type-specific super-interactive promoters (SIPs). Notably, promoter-interacting regions (PIRs) of SIPs are more likely to overlap with cell type-specific ATAC-seq peaks and GWAS variants for relevant blood cell traits than PIRs of non-SIPs. Further, SIP genes tend to express at a higher level in the corresponding cell type, and show enriched heritability of relevant blood cell trait(s). Importantly, this analysis shows the potential of using promoter-centric analyses of chromatin spatial organization data to identify biologically important genes and their regulatory regions.
- organism: human
- assay: Hi-C
- assay: ATAC-seq
- assay: GWAS summary statistics
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution
Laureano Tomás-Daza, Llorenç Rovirosa, … Biola M. Javierre·bioRxiv·Nov 4, 2022
- Architectural chromatin interactions provide a framework for context-dependent gene regulation
Mary E. Likhite, Gregory Andrews, … Jill E. Moore·bioRxiv·Jul 20, 2026
- FIREcaller: Detecting Frequently Interacting Regions from Hi-C Data
Cheynna Crowley, Yuchen Yang, … Yun Li·Computational and Structural Biotechnology JournalPeer-reviewed·Dec 29, 2020
- 3D Epigenomic Characterization Reveals Insights Into Gene Regulation and Lineage Specification During Corticogenesis
Michael Song, Mark-Phillip Pebworth, … Yin Shen·NaturePeer-reviewed·Oct 14, 2020
- SnapHiC-G: identifying long-range enhancer-promoter interactions from single-cell Hi-C data via a global background model
Weifang Liu, Wujuan Zhong, … Yun Li·Briefings in BioinformaticsPeer-reviewed·Jul 25, 2024
- HIPPIE2: a method for fine-scale identification of physically interacting chromatin regions
Pavel P. Kuksa, Alexandre Amlie‐Wolf, … Li‐San Wang·NAR Genomics and BioinformaticsPeer-reviewed·Mar 31, 2020