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顺式调控区域的遗传变异表明免疫中存在细胞类型特异性的调控机制。

Genetic variation in cis-regulatory domains suggests cell type-specific regulatory mechanisms in immunity.

机构信息

Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.

Swiss Institute of Bioinformatics (SIB), University of Geneva, Geneva, Switzerland.

出版信息

Commun Biol. 2023 Mar 28;6(1):335. doi: 10.1038/s42003-023-04688-3.

Abstract

Studying the interplay between genetic variation, epigenetic changes, and regulation of gene expression is crucial to understand the modification of cellular states in various conditions, including immune diseases. In this study, we characterize the cell-specificity in three key cells of the human immune system by building cis maps of regulatory regions with coordinated activity (CRDs) from ChIP-seq peaks and methylation data. We find that only 33% of CRD-gene associations are shared between cell types, revealing how similarly located regulatory regions provide cell-specific modulation of gene activity. We emphasize important biological mechanisms, as most of our associations are enriched in cell-specific transcription factor binding sites, blood-traits, and immune disease-associated loci. Notably, we show that CRD-QTLs aid in interpreting GWAS findings and help prioritize variants for testing functional hypotheses within human complex diseases. Additionally, we map trans CRD regulatory associations, and among 207 trans-eQTLs discovered, 46 overlap with the QTLGen Consortium meta-analysis in whole blood, showing that mapping functional regulatory units using population genomics allows discovering important mechanisms in the regulation of gene expression in immune cells. Finally, we constitute a comprehensive resource describing multi-omics changes to gain a greater understanding of cell-type specific regulatory mechanisms of immunity.

摘要

研究遗传变异、表观遗传变化和基因表达调控之间的相互作用对于理解各种条件下细胞状态的修饰至关重要,包括免疫疾病。在这项研究中,我们通过构建来自 ChIP-seq 峰和甲基化数据的协调活性调节区(CRD)的顺式图谱,来描绘人类免疫系统三个关键细胞的细胞特异性。我们发现,CRD-基因关联在细胞类型之间只有 33%是共享的,这揭示了相似位置的调节区如何提供基因活性的细胞特异性调节。我们强调了重要的生物学机制,因为我们的大多数关联都富集在细胞特异性转录因子结合位点、血液特征和免疫疾病相关基因座中。值得注意的是,我们表明 CRD-QTL 有助于解释 GWAS 发现,并有助于在人类复杂疾病中优先选择变体来测试功能假设。此外,我们还绘制了跨 CRD 调节关联图谱,在发现的 207 个跨-eQTL 中,有 46 个与全血中的 QTLGen 联盟荟萃分析重叠,表明使用群体基因组学绘制功能调节单元可以发现免疫细胞中基因表达调控的重要机制。最后,我们构建了一个综合资源,描述多组学变化,以更好地理解免疫细胞的细胞特异性调节机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bf5/10050075/12af650a25d2/42003_2023_4688_Fig1_HTML.jpg

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