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Detalle de: Metabolic labeling of RNA uncovers the contribution of transcription and decay rates on hypoxia-induced changes in RNA levels

Title Metabolic labeling of RNA uncovers the contribution of transcription and decay rates on hypoxia-induced changes in RNA levels
Abstract

Cells adapt to environmental changes, including fluctuations in oxygen levels, through the induction of specific gene expression programs. However, most transcriptomic studies do not distinguish the relative contribution of transcription, RNA processing, and RNA degradation processes to cellular homeostasis. Here we used metabolic labeling followed by massive parallel sequencing of newly transcribed and preexisting RNA fractions to simultaneously analyze RNA synthesis and decay in primary endothelial cells exposed to low oxygen tension. We found that changes in transcription rates induced by hypoxia are the major determinant of changes in RNA levels. However, degradation rates also had a significant contribution, accounting for 24% of the observed variability in total mRNA. In addition, our results indicated that hypoxia led to a reduction of the overall mRNA stability from a median half-life in normoxia of 8.7 h, to 5.7 h in hypoxia. Analysis of RNA content per cell confirmed a decrease of both mRNA and total RNA in hypoxic samples and that this effect is dependent on the EGLN/HIF/TSC2 axis. This effect could potentially contribute to fundamental global responses such as inhibition of translation in hypoxia. In summary, our study provides a quantitative analysis of the contribution of RNA synthesis and stability to the transcriptional response to hypoxia and uncovers an unexpected effect on the latter.

Apa Reference Tiana, M., Acosta-Iborra, B., Hernández, R., Galiana, C., Fernández-Moreno, M.Á., Jimenez, B. & del Peso, L. (2020). Metabolic labeling of RNA uncovers the contribution of transcription and decay rates on hypoxia-induced changes in RNA levels. RNA, 26(8), 1006-1022. 10.1261/RNA.072611.119
Doi 10.1261/RNA.072611.119
Publication Date 15 Apr 2020
Publication Type Article
Researcher Luis del Peso Ovalle
Ontology Transcriptomics, Expression Profiling
Research Groups
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