User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse




Journal Article

Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast


Cramer,  P.
Department of Molecular Biology, MPI for Biophysical Chemistry, Max Planck Society;

Fulltext (public)

(Publisher version), 818KB

Supplementary Material (public)

(Supplementary material), 235KB

(Supplementary material), 239KB

(Supplementary material), 5MB

(Supplementary material), 4MB


Miller, C., Schwalb, B., Maier, K., Schulz, D., Dümcke, S., Zacher, B., et al. (2011). Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast. Molecular Systems Biology, 7: 458. doi:10.1038/msb.2010.112.

Cite as: http://hdl.handle.net/11858/00-001M-0000-0015-81E7-8
To obtain rates of mRNA synthesis and decay in yeast, we established dynamic transcriptome analysis (DTA). DTA combines non‐perturbing metabolic RNA labeling with dynamic kinetic modeling. DTA reveals that most mRNA synthesis rates are around several transcripts per cell and cell cycle, and most mRNA half‐lives range around a median of 11 min. DTA can monitor the cellular response to osmotic stress with higher sensitivity and temporal resolution than standard transcriptomics. In contrast to monotonically increasing total mRNA levels, DTA reveals three phases of the stress response. During the initial shock phase, mRNA synthesis and decay rates decrease globally, resulting in mRNA storage. During the subsequent induction phase, both rates increase for a subset of genes, resulting in production and rapid removal of stress‐responsive mRNAs. During the recovery phase, decay rates are largely restored, whereas synthesis rates remain altered, apparently enabling growth at high salt concentration. Stress‐induced changes in mRNA synthesis rates are predicted from gene occupancy with RNA polymerase II. DTA‐derived mRNA synthesis rates identified 16 stress‐specific pairs/triples of cooperative transcription factors, of which seven were known. Thus, DTA realistically monitors the dynamics in mRNA metabolism that underlie gene regulatory systems.