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超级互作启动子为血液谱系细胞类型中的细胞类型特异性调控网络提供了深入了解。

Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell types.

机构信息

Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.

Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.

出版信息

PLoS Genet. 2022 Jan 31;18(1):e1009984. doi: 10.1371/journal.pgen.1009984. eCollection 2022 Jan.

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. Moreover, PIRs of cell-type-specific SIPs show enriched heritability of relevant blood cell trait (s), and are more enriched with GWAS variants associated with blood cell traits compared to PIRs of non-SIPs. Further, SIP genes tend to express at a higher level in the corresponding cell type. Importantly, SIP subnetworks incorporating cell-type-specific SIPs and ATAC-seq peaks help interpret GWAS variants. Examples include GWAS variants associated with platelet count near the megakaryocyte SIP gene EPHB3 and variants associated lymphocyte count near the native CD4 T-Cell SIP gene ETS1. Interestingly, around 25.7% ~ 39.6% blood cell traits GWAS variants residing in SIP PIR regions disrupt transcription factor binding motifs. Importantly, our analysis shows the potential of using promoter-centric analyses of chromatin spatial organization data to identify biologically important genes and their regulatory regions.

摘要

现有关于染色质构象的研究主要集中在潜在的增强子与基因启动子相互作用上。相比之下,启动子本身的相互作用,虽然对理解转录调控同样至关重要,但在很大程度上尚未得到探索,特别是在血液谱系细胞类型中具有细胞类型特异性的方式。在这项研究中,我们利用跨一系列血液谱系细胞类型的启动子捕获 Hi-C 数据,来识别和描述细胞类型特异性超级互作启动子(SIP)。值得注意的是,SIP 的启动子互作区域(PIR)比非 SIP 的 PIR 更有可能与血液细胞特征的特定细胞类型 ATAC-seq 峰和 GWAS 变体重叠。此外,细胞类型特异性 SIP 的 PIR 显示出与相关血液细胞特征(s)的更高遗传相关性,并且与非 SIP 的 PIR 相比,更富集与血液细胞特征相关的 GWAS 变体。此外,SIP 基因在相应的细胞类型中表达水平更高。重要的是,包含细胞类型特异性 SIP 和 ATAC-seq 峰的 SIP 子网有助于解释 GWAS 变体。例如,与巨核细胞 SIP 基因 EPHB3 附近血小板计数相关的 GWAS 变体和与天然 CD4 T 细胞 SIP 基因 ETS1 附近淋巴细胞计数相关的变体。有趣的是,大约 25.7%~39.6% 的血液细胞特征 GWAS 变体位于 SIP PIR 区域,破坏转录因子结合基序。重要的是,我们的分析表明,使用染色质空间组织数据的以启动子为中心的分析来识别生物学上重要的基因及其调控区域的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db95/8830683/1a83e26ed769/pgen.1009984.g001.jpg

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