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基因调控变异的遗传和机制基础。

The genetic and mechanistic basis for variation in gene regulation.

作者信息

Pai Athma A, Pritchard Jonathan K, Gilad Yoav

机构信息

Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.

Departments of Genetics and Biology, and Howard Hughes Medical Institute; Stanford University, Stanford, California, United States of America.

出版信息

PLoS Genet. 2015 Jan 8;11(1):e1004857. doi: 10.1371/journal.pgen.1004857. eCollection 2015 Jan.

Abstract

It is now well established that noncoding regulatory variants play a central role in the genetics of common diseases and in evolution. However, until recently, we have known little about the mechanisms by which most regulatory variants act. For instance, what types of functional elements in DNA, RNA, or proteins are most often affected by regulatory variants? Which stages of gene regulation are typically altered? How can we predict which variants are most likely to impact regulation in a given cell type? Recent studies, in many cases using quantitative trait loci (QTL)-mapping approaches in cell lines or tissue samples, have provided us with considerable insight into the properties of genetic loci that have regulatory roles. Such studies have uncovered novel biochemical regulatory interactions and led to the identification of previously unrecognized regulatory mechanisms. We have learned that genetic variation is often directly associated with variation in regulatory activities (namely, we can map regulatory QTLs, not just expression QTLs [eQTLs]), and we have taken the first steps towards understanding the causal order of regulatory events (for example, the role of pioneer transcription factors). Yet, in most cases, we still do not know how to interpret overlapping combinations of regulatory interactions, and we are still far from being able to predict how variation in regulatory mechanisms is propagated through a chain of interactions to eventually result in changes in gene expression profiles.

摘要

现在已经充分证实,非编码调控变异在常见疾病的遗传学和进化过程中发挥着核心作用。然而,直到最近,我们对大多数调控变异发挥作用的机制仍知之甚少。例如,DNA、RNA或蛋白质中的哪些功能元件类型最常受到调控变异的影响?基因调控的哪些阶段通常会发生改变?我们如何预测哪些变异最有可能在给定的细胞类型中影响调控?最近的研究,在许多情况下使用细胞系或组织样本中的数量性状位点(QTL)定位方法,为我们深入了解具有调控作用的遗传位点的特性提供了相当多的见解。此类研究揭示了新的生化调控相互作用,并导致了以前未被认识的调控机制的发现。我们了解到遗传变异通常与调控活性的变异直接相关(即,我们可以定位调控QTL,而不仅仅是表达QTL [eQTL]),并且我们已经朝着理解调控事件的因果顺序迈出了第一步(例如,先锋转录因子的作用)。然而,在大多数情况下,我们仍然不知道如何解释调控相互作用的重叠组合,并且我们距离能够预测调控机制的变异如何通过相互作用链传播以最终导致基因表达谱的变化仍相差甚远。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d78f/4287341/966221e7bb29/pgen.1004857.g001.jpg

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