Dynamics of transcriptional and post-transcriptional regulation.
Dynamics of transcriptional and post-transcriptional regulation.
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DOI：
10.1093/bib/bbaa389
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发表时间：
2021-07-20
影响因子：
9.5
通讯作者：
Pelizzola M
中科院分区：
文献类型：
--
作者：
Furlan M;de Pretis S;Pelizzola M
尽管基因表达程序非常复杂，但RNA丰度通常被认为是转录活性的代表。最近开发的方法，能够解开转录和转录后调控过程，揭示了一个更复杂的情况。现在有可能弄清楚合成、加工和降解动力学速率如何共同决定每个基因RNA的丰度。已经清楚的是，相同的转录输出可以对应于动力学速率的不同组合。这强调了一个事实，即存在明显不同的基因表达调控模式，每种模式对基因调节自身表达的能力都有深远的影响。本文介绍了实验和计算方法的发展，包括RNA代谢标记和数学建模，已经揭示了复杂的转录程序的机制。目前的局限性和未来的前景在该领域进行了讨论。
Despite gene expression programs being notoriously complex, RNA abundance is usually assumed as a proxy for transcriptional activity. Recently developed approaches, able to disentangle transcriptional and post-transcriptional regulatory processes, have revealed a more complex scenario. It is now possible to work out how synthesis, processing and degradation kinetic rates collectively determine the abundance of each gene’s RNA. It has become clear that the same transcriptional output can correspond to different combinations of the kinetic rates. This underscores the fact that markedly different modes of gene expression regulation exist, each with profound effects on a gene’s ability to modulate its own expression. This review describes the development of the experimental and computational approaches, including RNA metabolic labeling and mathematical modeling, that have been disclosing the mechanisms underlying complex transcriptional programs. Current limitations and future perspectives in the field are also discussed.
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影响因子：
7
作者：
de Pretis S;Kress TR;Morelli MJ;Sabò A;Locarno C;Verrecchia A;Doni M;Campaner S;Amati B;Pelizzola M
通讯作者：
Pelizzola M
影响因子：
3.7
作者：
Gray JM;Harmin DA;Boswell SA;Cloonan N;Mullen TE;Ling JJ;Miller N;Kuersten S;Ma YC;McCarroll SA;Grimmond SM;Springer M
通讯作者：
Springer M
DOI：
10.1038/nrm.2017.63
发表时间：
2017-10
期刊：
Nature reviews. Molecular cell biology
影响因子：
--
作者：
Herzel L;Ottoz DSM;Alpert T;Neugebauer KM
通讯作者：
Neugebauer KM
影响因子：
3.7
作者：
Furlan, Mattia;Tanaka, Iris;Pelizzola, Mattia
通讯作者：
Pelizzola, Mattia
影响因子：
56.9
作者：
Battich, Nico;Beumer, Joep;van Oudenaarden, Alexander
通讯作者：
van Oudenaarden, Alexander