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您的检索式：作者名="Tianrun Cheng"
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| 1 | Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction显示文摘Isogenic cells growing in identical environments show cell-to-cell variations because of the stochasticity in gene expression.High levels of variation or noise can disrupt robust gene expression and result in tremendous consequences for cell behaviors.In this work,we showed evidence from single-cell RNA sequencing data analysis that microRNAs(miRNAs)can reduce gene expression noise at the mRNA level in mouse cells.We identified that the miRNA expression level,number of targets,target pool abundance,and miRNA-target interaction strength are the key features contributing to noise repression.miRNAs tend to work together in cooperative subnetworks to repress target noise synergistically in a cell type-specific manner.By building a physical model of post-transcriptional regulation and observing in synthetic gene circuits,we demonstrated that accelerated degradation with elevated transcriptional activation of the miRNA target provides resistance to extrinsic fluctuations.Together,through the integrated analysis of single-cell RNA and miRNA expression profiles,we demonstrated that miRNAs are important post-transcriptional regulators for reducing gene expression noise and conferring robustness to biological processes. | Tao Hu Lei Wei Shuailin Li Tianrun Cheng Xuegong Zhang Xiaowo Wang | 2021 | Genomics, Proteomics & Bioinformatics2021，19，3： | 1 |
| 2 | Regulation by competition:a hidden layer of gene regulatory network显示文摘Background:Molecular competition brings about trade-offs of shared limited resources among the cellular components,and thus introduces a hidden layer of regulatory mechanism by connecting components even without direct physical interactions.Several molecular competition scenarios have been observed recently,but there is still a lack of systematic quantitative understanding to reveal the essence of molecular competition.Methods:Here,by abstracting the analogous competition mechanism behind diverse molecular systems,we built a unified coarse-grained competition motif model to systematically integrate experimental evidences in these processes and analyzed general properties shared behind them from steady-state behavior to dynamic responses.Results:We could predict in what molecular environments competition would reveal threshold behavior or display a negative linear dependence.We quantified how competition can shape regulator-target dose-response curve,modulate dynamic response speed,control target expression noise,and introduce correlated fluctuations between targets.Conclusions:This work uncovered the complexity and generality of molecular competition effect as a hidden layer of gene regulatory network,and therefore provided a unified insight and a theoretical framework to understand and employ competition in both natural and synthetic systems. | Lei Wei Ye Yuan Tao Hu Shuailin Li Tianrun Cheng Jinzhi Lei Zhen Xie Michael Q.Zhang Xiaowo Wang | 2019 | Frontiers of Electrical and Electronic Engineering in China2019，7，2： | 1 |
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