Your browser doesn't support javascript.
loading
Dynamic global analysis of transcription reveals the role of miRNAs in synergistic stabilization of gene expression.
Ma, Fuqiang; Lu, Guang-An; Chen, Qingjian; Ruan, Yongsen; Li, Xin; Lu, Xuemei; Li, Chunyan.
Afiliação
  • Ma F; School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, and Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang U
  • Lu GA; School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; State Key Laboratory of Genetic Resources and Evolution & CAS Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
  • Chen Q; School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
  • Ruan Y; School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
  • Li X; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
  • Lu X; State Key Laboratory of Genetic Resources and Evolution & CAS Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy
  • Li C; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, and Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing 100191, China; Key Laboratory of Genomic and Precision
Sci Bull (Beijing) ; 65(24): 2130-2140, 2020 Dec 30.
Article em En | MEDLINE | ID: mdl-36732966
Buffering exogenous perturbation is crucial to maintain transcriptional homeostasis during development. While miRNAs have been speculated to play a role in stability maintenance, previous studies seeking to check this conjecture focused on measurements of transcript levels at steady state or involved individual miRNA targets. We measured whole-genome expression dynamics by introducing a transient perturbation and establishing a perturbation and recovery system in Drosophila larvae. We inhibited all transcription and assayed transcriptomes at several time points during recovery from inhibition. We performed these experiments in the wild type and miRNA-deficient genetic backgrounds. Consistent with theories about miRNAs' function in stabilizing the transcriptome, we find that attenuating miRNA expression leads to weak impairment in degradation of targets but strong destabilization of target genes when transcription is re-activated. We further fitted a model that captures the essential aspects of transcription dynamics in our experiments and found that the miRNA target transcripts uniformly overshoot the original steady state as they recover from a general inhibition of transcription if global miRNA levels are reduced. Collectively, our results provide experimental evidence for the idea that miRNAs act cumulatively to stabilize the transcriptional regulatory network. We therefore found a promising approach to assess the effect of these molecules on transcription dynamics.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article