Transcription factor expression is the main determinant of variability in gene co-activity.

IF 8.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular Systems Biology Pub Date : 2023-07-11 Epub Date: 2023-05-09 DOI:10.15252/msb.202211392
Lucas van Duin, Robert Krautz, Sarah Rennie, Robin Andersson
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引用次数: 0

Abstract

Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants of domain co-activity remain unclear. Here, we leverage human individual variation in gene expression to characterize the co-regulatory processes underlying domain co-activity and systematically quantify their effect sizes. We employ transcriptional decomposition to extract from RNA expression data an expression component related to co-activity revealed by genomic positioning. This strategy reveals close to 1,500 co-activity domains, covering most expressed genes, of which the large majority are invariable across individuals. Focusing specifically on domains with high variability in co-activity reveals that contained genes have a higher sharing of eQTLs, a higher variability in enhancer interactions, and an enrichment of binding by variably expressed transcription factors, compared to genes within non-variable domains. Through careful quantification of the relative contributions of regulatory processes underlying co-activity, we find transcription factor expression levels to be the main determinant of gene co-activity. Our results indicate that distal trans effects contribute more than local genetic variation to individual variation in co-activity domains.

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转录因子的表达是决定基因共同活性变化的主要因素。
许多基因共同表达,形成了基因活动协调的基因组域。然而,领域协同活动的调控决定因素仍不清楚。在这里,我们利用人类基因表达的个体差异来描述域协同活动的协同调控过程,并系统地量化其效应大小。我们采用转录分解法,从 RNA 表达数据中提取与基因组定位所揭示的共同作用相关的表达成分。这一策略揭示了近 1,500 个共同活性域,涵盖了大多数表达基因,其中绝大多数基因在不同个体间是不变的。与非可变域内的基因相比,特别关注共同活性变异性高的域会发现,其中包含的基因具有更高的 eQTL 共享性、增强子相互作用的变异性更高,以及表达可变的转录因子的结合富集性更强。通过仔细量化共同作用所依赖的调控过程的相对贡献,我们发现转录因子的表达水平是基因共同作用的主要决定因素。我们的研究结果表明,远端反式效应比局部遗传变异对共同作用域个体差异的贡献更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Systems Biology
Molecular Systems Biology 生物-生化与分子生物学
CiteScore
18.50
自引率
1.00%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems. Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.
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