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Global mRNA abundance depends on the balance of synthesis and decay of a population of mRNAs. To account for this balance during activation of T cells, we used metabolic labeling to quantify the contributions of RNA transcription and decay over a 4 h time course during activation of leukemia-derived Jurkat T cells. While prior studies suggested more than half of the changes in mRNA abundance were due to RNA stability, we found a smaller but more interesting population of mRNAs changed stability. These mRNAs clustered into functionally related subpopulations that included replicative histones, ribosomal biogenesis and cell motility functions. We then applied a novel analysis based on integrating global protein-RNA binding with concurrent changes in RNA stability at specific time points following activation. This analysis demonstrated robust stabilization of mRNAs by the HuR RNA-binding protein 4 h after activation. Our unexpected findings demonstrate that the temporal regulation of mRNA stability coordinates vital cellular pathways and is in part controlled by the HuR RNA binding protein in Jurkat T cells following activation.
Pubmed ID: 26490963
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THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.
View all literature mentionsBioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.
View all literature mentionsCell line Jurkat is a Cancer cell line with a species of origin Homo sapiens (Human)
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