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Davari, K. ; Lichti, J. ; Gallus, C. ; Greulich, F. ; Uhlenhaut, N.H. ; Heinig, M. ; Friedel, C.C.* ; Glasmacher, E.

Rapid genome-wide recruitment of RNA polymerase II drives transcription, splicing, and translation events during T cell responses.

Cell Rep. 19, 643-654 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Activation of immune cells results in rapid functional changes, but how such fast changes are accomplished remains enigmatic. By combining time courses of 4sU-seq, RNA-seq, ribosome profiling (RP), and RNA polymerase II (RNA Pol II) ChIP-seq during T cell activation, we illustrate genome-wide temporal dynamics for ∼10,000 genes. This approach reveals not only immediate-early and posttranscriptionally regulated genes but also coupled changes in transcription and translation for >90% of genes. Recruitment, rather than release of paused RNA Pol II, primarily mediates transcriptional changes. This coincides with a genome-wide temporary slowdown in cotranscriptional splicing, even for polyadenylated mRNAs that are localized at the chromatin. Subsequent splicing optimization correlates with increasing Ser-2 phosphorylation of the RNA Pol II carboxy-terminal domain (CTD) and activation of the positive transcription elongation factor (pTEFb). Thus, rapid de novo recruitment of RNA Pol II dictates the course of events during T cell activation, particularly transcription, splicing, and consequently translation.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter 4su ; H3k36 ; Rna Pol Ii ; Ser-2 Rna Pol Ii ; Ser-5 Rna Pol Ii ; T Cell Activation ; Cotranscriptional Splicing ; Immediate-early Genes ; Immune Response ; Ribosome Profiling
ISSN (print) / ISBN 2211-1247
e-ISSN 2211-1247
Zeitschrift Cell Reports
Quellenangaben Band: 19, Heft: 3, Seiten: 643-654 Artikelnummer: , Supplement: ,
Verlag Cell Press
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes and Cancer (IDC)
Institute of Computational Biology (ICB)
Institute of Diabetes and Obesity (IDO)