Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression

The large variability in mRNA and protein levels found from both static and dynamic measurements in single cells has been largely attributed to random periods of transcription, often occurring in bursts. The cell cycle has a pronounced global role in affecting transcriptional and translational outpu...

Full description

Bibliographic Details
Main Authors: Maheshri, Narendra (Contributor), Zopf, Christopher John (Contributor), Quinn, Katie Julia (Contributor), Zeidman, Joshua A. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2013-10-03T11:52:43Z.
Subjects:
Online Access:Get fulltext
LEADER 02341 am a22002773u 4500
001 81278
042 |a dc 
100 1 0 |a Maheshri, Narendra  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Chemical Engineering  |e contributor 
100 1 0 |a Zopf, Christopher John  |e contributor 
100 1 0 |a Quinn, Katie Julia  |e contributor 
100 1 0 |a Zeidman, Joshua A.  |e contributor 
100 1 0 |a Maheshri, Narendra  |e contributor 
700 1 0 |a Zopf, Christopher John  |e author 
700 1 0 |a Quinn, Katie Julia  |e author 
700 1 0 |a Zeidman, Joshua A.  |e author 
245 0 0 |a Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression 
260 |b Public Library of Science,   |c 2013-10-03T11:52:43Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/81278 
520 |a The large variability in mRNA and protein levels found from both static and dynamic measurements in single cells has been largely attributed to random periods of transcription, often occurring in bursts. The cell cycle has a pronounced global role in affecting transcriptional and translational output, but how this influences transcriptional statistics from noisy promoters is unknown and generally ignored by current stochastic models. Here we show that variable transcription from the synthetic tetO promoter in S. cerevisiae is dominated by its dependence on the cell cycle. Real-time measurements of fluorescent protein at high expression levels indicate tetO promoters increase transcription rate ~2-fold in S/G2/M similar to constitutive genes. At low expression levels, where tetO promoters are thought to generate infrequent bursts of transcription, we observe random pulses of expression restricted to S/G2/M, which are correlated between homologous promoters present in the same cell. The analysis of static, single-cell mRNA measurements at different points along the cell cycle corroborates these findings. Our results demonstrate that highly variable mRNA distributions in yeast are not solely the result of randomly switching between periods of active and inactive gene expression, but instead largely driven by differences in transcriptional activity between G1 and S/G2/M. 
520 |a GM095733 
520 |a BBBE 103316 
520 |a MIT Startup Fund 
546 |a en_US 
655 7 |a Article 
773 |t PLoS Computational Biology