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表观遗传静止区域中相邻非编码基因座的独特三维接触及表型后果

Distinct 3D contacts and phenotypic consequences of adjacent non-coding loci in the epigenetically quiescent regions.

作者信息

Wu Peiyao, Wang Wei

机构信息

Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359.

Bioinformatics and Systems Biology program, University of California, San Diego, La Jolla, CA 92093-0359.

出版信息

bioRxiv. 2023 Sep 13:2023.09.11.557110. doi: 10.1101/2023.09.11.557110.

DOI:10.1101/2023.09.11.557110
PMID:37745584
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10515877/
Abstract

Non-coding regions of the human genome are important for functional regulations, but their mechanisms remain elusive. We used machine learning to guide a CRISPR screening on hubs (i.e. non-coding loci forming many 3D contacts) and significantly increased the discovery rate of hubs essential for cell growth. We found no clear genetic or epigenetic differences between essential and nonessential hubs, but we observed that some neighboring hubs in the linear genome have distinct spatial contacts and opposite effects on cell growth. One such pair in an epigenetically quiescent region showed different impacts on gene expression, chromatin accessibility and chromatin organization. We also found that deleting the essential hub altered the genetic network activity and increased the entropy of chromatin accessibility, more severe than that caused by deletion of the nonessential hub, suggesting that they are critical for maintaining an ordered chromatin structure. Our study reveals new insights into the system-level roles of non-coding regions in the human genome.

摘要

人类基因组的非编码区域对于功能调控很重要,但其机制仍不清楚。我们使用机器学习来指导对枢纽(即形成许多三维接触的非编码位点)进行CRISPR筛选,并显著提高了对细胞生长至关重要的枢纽的发现率。我们发现必需枢纽和非必需枢纽之间没有明显的遗传或表观遗传差异,但我们观察到线性基因组中的一些相邻枢纽具有不同的空间接触,并且对细胞生长有相反的影响。在一个表观遗传静止区域中的这样一对枢纽对基因表达、染色质可及性和染色质组织表现出不同的影响。我们还发现,删除必需枢纽会改变基因网络活性,并增加染色质可及性的熵,比删除非必需枢纽造成的影响更严重,这表明它们对于维持有序的染色质结构至关重要。我们的研究揭示了对人类基因组中非编码区域的系统水平作用的新见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/190bc7556eba/nihpp-2023.09.11.557110v1-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/4e6c28331145/nihpp-2023.09.11.557110v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/881a75eb0a9b/nihpp-2023.09.11.557110v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/d3ebf7af4a9f/nihpp-2023.09.11.557110v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/1ce2755ad0da/nihpp-2023.09.11.557110v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/23a50ea1b2dd/nihpp-2023.09.11.557110v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/bd35d75cbc0c/nihpp-2023.09.11.557110v1-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/c0abf2e55a1b/nihpp-2023.09.11.557110v1-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/190bc7556eba/nihpp-2023.09.11.557110v1-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/4e6c28331145/nihpp-2023.09.11.557110v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/881a75eb0a9b/nihpp-2023.09.11.557110v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/d3ebf7af4a9f/nihpp-2023.09.11.557110v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/1ce2755ad0da/nihpp-2023.09.11.557110v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/23a50ea1b2dd/nihpp-2023.09.11.557110v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/bd35d75cbc0c/nihpp-2023.09.11.557110v1-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/c0abf2e55a1b/nihpp-2023.09.11.557110v1-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fd/10515877/190bc7556eba/nihpp-2023.09.11.557110v1-f0010.jpg

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