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通过耦合转录、输出和降解实现mRNA浓度的稳态。

Homeostasis of mRNA concentrations through coupling transcription, export, and degradation.

作者信息

Wang Qirun, Lin Jie

机构信息

Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.

Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.

出版信息

iScience. 2024 Jul 18;27(8):110531. doi: 10.1016/j.isci.2024.110531. eCollection 2024 Aug 16.

DOI:10.1016/j.isci.2024.110531
PMID:39175768
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11338957/
Abstract

Many experiments showed that eukaryotic cells maintain a constant mRNA concentration upon various perturbations by actively regulating mRNA production and degradation rates, known as mRNA buffering. However, the underlying mechanism is still unknown. In this work, we unveil a mechanistic model of mRNA buffering: the releasing-shuttling (RS) model. The model incorporates two crucial proteins, X and Y, which play several roles, including transcription, decay, and export factors, in the different stages of mRNA metabolism. The RS model predicts the constant mRNA concentration under genome-wide genetic perturbations and cell volume changes, the slowed-down mRNA degradation after Pol II depletion, and the temporal transcription dynamics after exonuclease depletion, in agreement with multiple experiments. Finally, we present a list of X and Y candidates and propose an experimental method to identify X. Our work uncovers potentially universal pathways coupling transcription, export, and degradation that help cells maintain mRNA homeostasis.

摘要

许多实验表明,真核细胞通过积极调节mRNA的产生和降解速率,在各种扰动下维持恒定的mRNA浓度,这被称为mRNA缓冲。然而,其潜在机制仍然未知。在这项工作中,我们揭示了一种mRNA缓冲的机制模型:释放-穿梭(RS)模型。该模型纳入了两种关键蛋白X和Y,它们在mRNA代谢的不同阶段发挥多种作用,包括转录、衰变和输出因子。RS模型预测了在全基因组遗传扰动和细胞体积变化下的恒定mRNA浓度、RNA聚合酶II耗竭后mRNA降解的减缓以及核酸外切酶耗竭后的瞬时转录动态,这与多项实验结果一致。最后,我们列出了X和Y的候选蛋白,并提出了一种鉴定X的实验方法。我们的工作揭示了潜在的普遍途径,这些途径将转录、输出和降解联系起来,帮助细胞维持mRNA稳态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/7066f322874e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/9e38acb4a178/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/b5d00020db40/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/859a03820581/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/b9d76b7ccdd9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/e6173bc1d7b1/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/590397d56823/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/7066f322874e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/9e38acb4a178/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/b5d00020db40/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/859a03820581/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/b9d76b7ccdd9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/e6173bc1d7b1/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/590397d56823/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754e/11338957/7066f322874e/gr6.jpg

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