AR acknowledges NSF CAREER 1350601 and NIH DP2OD008514. MLS acknowledges support from the University of Tennessee/Oak Ridge National Laboratory Joint Institute for Biological Sciences. BSR acknowledges support from a Merck Postdoctoral Fellowship at The Rockefeller University. SMS acknowledges an NIH NIAID F30 Fellowship (1F30AI114475-01A1). Data from Singh et al., Biophysical Journal 2010 and Dar et al., PNAS 2012 is available online and can be requested from the Leor Weinberger Lab, data from Dey et al., MSB 2015 is available online and from the Adam Arkin Lab.įunding: RDD was supported by an NIH NIAID Career Transition Award (AI120746). The other datasets have been reported in previous papers. The work is made available under the Creative Commons CC0 public domain dedication.ĭata Availability: All new experimental data in the report ( Fig 1D) can be received upon request from the Arjun Raj Lab. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
Received: ApAccepted: JPublished: July 28, 2016
PLoS ONE 11(7):Įditor: Ashok Chauhan, University of South Carolina School of Medicine, UNITED STATES (2016) Transcriptional Bursting Explains the Noise–Versus–Mean Relationship in mRNA and Protein Levels. Citation: Dar RD, Shaffer SM, Singh A, Razooky BS, Simpson ML, Raj A, et al.
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