Unknown

Dataset Information

0

High-resolution timing of cell cycle-regulated gene expression.


ABSTRACT: The eukaryotic cell division cycle depends on an intricate sequence of transcriptional events. Using an algorithm based on maximum-entropy deconvolution, and expression data from a highly synchronized yeast culture, we have timed the peaks of expression of transcriptionally regulated cell cycle genes to an accuracy of 2 min (approximately equal to 1% of the cell cycle time). The set of 1,129 cell cycle-regulated genes was identified by a comprehensive analysis encompassing all available cell cycle yeast data sets. Our results reveal distinct subphases of the cell cycle undetectable by morphological observation, as well as the precise timeline of macromolecular complex assembly during key cell cycle events.

SUBMITTER: Rowicka M 

PROVIDER: S-EPMC2040468 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

High-resolution timing of cell cycle-regulated gene expression.

Rowicka Maga M   Kudlicki Andrzej A   Tu Benjamin P BP   Otwinowski Zbyszek Z  

Proceedings of the National Academy of Sciences of the United States of America 20070907 43


The eukaryotic cell division cycle depends on an intricate sequence of transcriptional events. Using an algorithm based on maximum-entropy deconvolution, and expression data from a highly synchronized yeast culture, we have timed the peaks of expression of transcriptionally regulated cell cycle genes to an accuracy of 2 min (approximately equal to 1% of the cell cycle time). The set of 1,129 cell cycle-regulated genes was identified by a comprehensive analysis encompassing all available cell cyc  ...[more]

Similar Datasets

| S-EPMC5694945 | biostudies-literature
| S-EPMC2718844 | biostudies-literature
| S-EPMC2867244 | biostudies-literature
| S-EPMC3983658 | biostudies-literature
| S-EPMC5294996 | biostudies-literature
| S-EPMC3566586 | biostudies-literature
| S-EPMC109252 | biostudies-literature
| S-EPMC5716687 | biostudies-literature
| S-EPMC2864564 | biostudies-literature
| S-EPMC1142420 | biostudies-literature