Resolving 3-Dimensional Genomic Landscape of CD4+ T Cells in the Peripheral Blood of Patients with Psoriasis.

Yueqi Qiu, Wenjuan Jiang, Delong Feng, Yaqin Yu, Huihui Hou, Min Deng, Xiaoyun Chen, Lin Liu, Ruifang Wu, Qianjin Lu, Ming Zhao
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Abstract

A precise regulation of gene expression depends on the accuracy of the 3-dimensional (3D) structure of chromatin; however, the effects of the 3D genome on gene expression in psoriasis remain unknown. In this study, we conducted Hi-C and RNA sequencing on CD4+ T cells collected from 5 patients with psoriasis and 3 healthy controls and constructed a comprehensive 3D chromatin interaction map to delineate the genomic hierarchies, including A/B compartments, topologically associated domains, and chromatin loops. Then, the specific superenhancers related to psoriasis were identified by Hi-C and H3K27ac chromatin immunoprecipitation sequencing data. Subsequently, comprehensive analyses were carried out on the differentially expressed genes that are associated with altered topologically associated domains, loops, and superenhancers in psoriasis. Finally, we screened the candidate target genes and examined the potential functional SNP in psoriasis affected by disruptions of the spatial organization. This study provides a comprehensive reference for examining the 3D genome interactions in psoriasis and elucidating the interplay between spatial organization disruption and gene regulation. We hope that our findings can help clarify the mechanisms underlying the pathogenesis of psoriasis and shed light on the role of 3D genomic structure, therefore informing potential therapeutic approaches.

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解析银屑病患者外周血中 CD4+ T 细胞的三维基因组图谱。
基因表达的精确调控取决于染色质三维(3D)结构的准确性;然而,三维基因组对银屑病基因表达的影响仍然未知。在这项研究中,我们对采集自5名银屑病患者和3名健康对照者的CD4+T细胞进行了Hi-C和RNA-seq分析,并构建了全面的三维染色质相互作用图谱,以划分基因组层次,包括A/B区、拓扑相关域(TAD)和染色质环。然后,通过Hi-C和H3K27ac ChIP-seq数据确定了与银屑病相关的特异性超级增强子(SEs)。随后,我们对银屑病中与TADs、环路和SEs改变相关的差异表达基因进行了综合分析。最后,我们筛选了候选靶基因,并研究了受空间组织破坏影响的银屑病中潜在的功能性单核苷酸多态性。本文为研究银屑病的三维基因组相互作用以及阐明空间组织破坏与基因调控之间的相互作用提供了全面的参考。我们希望我们的发现有助于阐明银屑病的发病机制,揭示三维基因组结构的作用,从而为潜在的治疗方法提供参考。
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