Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. RNA Polymerase II cluster dynamics predict mRNA output in living cells

RNA Polymerase II cluster dynamics predict mRNA output in living cells

Thumbnail Image
Download
Name

RNA polymerase II.pdf

Size

3.93 MB

Format

Adobe PDF

Checksum (MD5)

69176601e903b1cb63da8fa7d0d46133

Author(s)
English, Brian P
•
Grimm, Jonathan B
•
Lavis, Luke D
•
Lionnet, Timothée
•
Cho, Won-ki
•
Jayanth, Namrata
•
Andrews, James Owen
•
Conway, William E.
•
Spille, Jan Hendrik
•
Cisse, Ibrahim I
more
Date Issued
May 2016
Journal
eLife
Publisher
eLife Sciences Publications, Ltd
Citation
Cho, Won-Ki; Jayanth, Namrata; English, Brian P; Inoue, Takuma; Andrews, J Owen; Conway, William; Grimm, Jonathan B et al. “RNA Polymerase II Cluster Dynamics Predict mRNA Output in Living Cells.” eLife 5 (May 3, 2016). © Cho et al.
Version
Final published version
Abstract
Protein clustering is a hallmark of genome regulation in mammalian cells. However, the dynamic molecular processes involved make it difficult to correlate clustering with functional consequences in vivo. We developed a live-cell super-resolution approach to uncover the correlation between mRNA synthesis and the dynamics of RNA Polymerase II (Pol II) clusters at a gene locus. For endogenous β-actin genes in mouse embryonic fibroblasts, we observe that short-lived (~8 s) Pol II clusters correlate with basal mRNA output. During serum stimulation, a stereotyped increase in Pol II cluster lifetime correlates with a proportionate increase in the number of mRNAs synthesized. Our findings suggest that transient clustering of Pol II may constitute a pre-transcriptional regulatory event that predictably modulates nascent mRNA output.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/108356
DOI of Published Version
https://doi.org/10.7554/eLife.13617
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.