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- W3204806221 abstract "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." @default.
- W3204806221 created "2021-10-11" @default.
- W3204806221 creator A5008093795 @default.
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- W3204806221 date "2021-06-01" @default.
- W3204806221 modified "2023-10-14" @default.
- W3204806221 title "Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction" @default.
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- W3204806221 cites W1984429906 @default.
- W3204806221 cites W1984916226 @default.
- W3204806221 cites W1988163167 @default.
- W3204806221 cites W1988391018 @default.
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- W3204806221 cites W2036656644 @default.
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- W3204806221 doi "https://doi.org/10.1016/j.gpb.2021.05.002" @default.
- W3204806221 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34606979" @default.
- W3204806221 hasPublicationYear "2021" @default.
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