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将染色质占据动态与预测模型联系起来。

Linking the dynamics of chromatin occupancy and transcription with predictive models.

机构信息

Department of Computer Science, Duke University, Durham, North Carolina 27708, USA.

Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.

出版信息

Genome Res. 2021 Jun;31(6):1035-1046. doi: 10.1101/gr.267237.120. Epub 2021 Apr 23.

Abstract

Though the sequence of the genome within each eukaryotic cell is essentially fixed, it exists within a complex and changing chromatin state. This state is determined, in part, by the dynamic binding of proteins to the DNA. These proteins-including histones, transcription factors (TFs), and polymerases-interact with one another, the genome, and other molecules to allow the chromatin to adopt one of exceedingly many possible configurations. Understanding how changing chromatin configurations associate with transcription remains a fundamental research problem. We sought to characterize at high spatiotemporal resolution the dynamic interplay between transcription and chromatin in response to cadmium stress. Whereas gene regulatory responses to environmental stress in yeast have been studied, how the chromatin state changes and how those changes connect to gene regulation remain unexplored. By combining MNase-seq and RNA-seq data, we found chromatin signatures of transcriptional activation and repression involving both nucleosomal and TF-sized DNA-binding factors. Using these signatures, we identified associations between chromatin dynamics and transcriptional regulation, not only for known cadmium response genes, but across the entire genome, including antisense transcripts. Those associations allowed us to develop generalizable models that predict dynamic transcriptional responses on the basis of dynamic chromatin signatures.

摘要

虽然每个真核细胞内的基因组序列本质上是固定的,但它存在于一个复杂且不断变化的染色质状态中。这种状态部分取决于蛋白质与 DNA 的动态结合。这些蛋白质——包括组蛋白、转录因子(TFs)和聚合酶——相互作用,与基因组和其他分子相互作用,使染色质能够采用极其多样的可能构象之一。了解染色质构象的变化如何与转录相关联仍然是一个基本的研究问题。我们试图以高时空分辨率表征转录和染色质之间的动态相互作用,以响应镉胁迫。尽管已经研究了酵母中环境胁迫的基因调控反应,但染色质状态的变化以及这些变化如何与基因调控相关联仍未得到探索。通过结合 MNase-seq 和 RNA-seq 数据,我们发现了涉及核小体和 TF 大小的 DNA 结合因子的转录激活和抑制的染色质特征。使用这些特征,我们确定了染色质动力学与转录调控之间的关联,不仅针对已知的镉反应基因,而且针对整个基因组,包括反义转录本。这些关联使我们能够开发出基于动态染色质特征预测动态转录反应的可推广模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0510/8168580/4dcec456deb7/1035f01.jpg

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