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将 microRNAs 的分子功能与细胞分化动态联系起来。

Connecting the molecular function of microRNAs to cell differentiation dynamics.

机构信息

Center for Quantitative Medicine, UConn Health, Farmington, CT, USA.

The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.

出版信息

J R Soc Interface. 2019 Sep 27;16(158):20190437. doi: 10.1098/rsif.2019.0437. Epub 2019 Sep 25.

DOI:10.1098/rsif.2019.0437
PMID:31551049
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6769318/
Abstract

MicroRNAs form a class of short, non-coding RNA molecules which are essential for proper development in tissue-based plants and animals. To help explain their role in gene regulation, a number of mathematical and computational studies have demonstrated the potential canalizing effects of microRNAs. However, such studies have typically focused on the effects of microRNAs on only one or a few target genes. Consequently, it remains unclear how these small-scale effects add up to the experimentally observed developmental outcomes resulting from microRNA perturbation at the whole-genome level. To answer this question, we built a general computational model of cell differentiation to study the effect of microRNAs in genome-scale gene regulatory networks. Our experiments show that in large gene regulatory networks, microRNAs can control differentiation time without significantly changing steady-state gene expression profiles. This temporal regulatory role cannot be naturally replicated using protein-based transcription factors alone. While several microRNAs have been shown to regulate differentiation time , our findings provide a new explanation of how the cumulative molecular actions of individual microRNAs influence genome-scale cellular dynamics. Taken together, these results may help explain why tissue-based organisms exclusively depend on miRNA-mediated regulation, while their more primitive counterparts do not.

摘要

微小 RNA 形成了一类短的、非编码 RNA 分子,它们对于组织生物的正常发育至关重要。为了帮助解释它们在基因调控中的作用,许多数学和计算研究已经证明了微小 RNA 的潜在渠道化效应。然而,这些研究通常集中在微小 RNA 对一个或几个靶基因的影响上。因此,目前尚不清楚这些小规模的效应如何累加起来,导致在全基因组水平上微小 RNA 干扰后观察到的实验发育结果。为了回答这个问题,我们构建了一个通用的细胞分化计算模型,以研究微小 RNA 在全基因组基因调控网络中的作用。我们的实验表明,在大型基因调控网络中,微小 RNA 可以控制分化时间,而不会显著改变稳态基因表达谱。这种时间调控作用不能仅使用基于蛋白质的转录因子自然复制。虽然已经有几种微小 RNA 被证明可以调节分化时间,但我们的研究结果提供了一个新的解释,即单个微小 RNA 的累积分子作用如何影响全基因组细胞动力学。总之,这些结果可能有助于解释为什么组织生物完全依赖于微小 RNA 介导的调节,而它们更原始的对应物则不依赖。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/763def8cde04/rsif20190437-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/3fb7d137c097/rsif20190437-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/1057790abd50/rsif20190437-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/fb657ad89608/rsif20190437-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/9e9af5c79613/rsif20190437-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/5d21898b5a66/rsif20190437-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/763def8cde04/rsif20190437-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/3fb7d137c097/rsif20190437-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/1057790abd50/rsif20190437-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/fb657ad89608/rsif20190437-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/9e9af5c79613/rsif20190437-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/5d21898b5a66/rsif20190437-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7852/6769318/763def8cde04/rsif20190437-g6.jpg

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本文引用的文献

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