Unknown

Dataset Information

0

P53 pulses lead to distinct patterns of gene expression albeit similar DNA-binding dynamics.


ABSTRACT: The dynamics of transcription factors play important roles in a variety of biological systems. However, the mechanisms by which these dynamics are decoded into different transcriptional responses are not well understood. Here we focus on the dynamics of the tumor-suppressor protein p53, which exhibits a series of pulses in response to DNA damage. We performed time course RNA sequencing (RNA-seq) and chromatin immunoprecipitation sequencing (ChIP-seq) measurements to determine how p53 oscillations are linked with gene expression genome wide. We discovered multiple distinct patterns of gene expression in response to p53 pulses. Surprisingly, p53-binding dynamics were uniform across all genomic loci, even for genes that exhibited distinct mRNA dynamics. Using a mathematical model, supported by additional experimental measurements in response to sustained p53 input, we determined that p53 binds to and activates transcription of its target genes uniformly, whereas post-transcriptional mechanisms are responsible for the differences in gene expression dynamics.

SUBMITTER: Hafner A 

PROVIDER: S-EPMC5629117 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

p53 pulses lead to distinct patterns of gene expression albeit similar DNA-binding dynamics.

Hafner Antonina A   Stewart-Ornstein Jacob J   Purvis Jeremy E JE   Forrester William C WC   Bulyk Martha L ML   Lahav Galit G  

Nature structural & molecular biology 20170821 10


The dynamics of transcription factors play important roles in a variety of biological systems. However, the mechanisms by which these dynamics are decoded into different transcriptional responses are not well understood. Here we focus on the dynamics of the tumor-suppressor protein p53, which exhibits a series of pulses in response to DNA damage. We performed time course RNA sequencing (RNA-seq) and chromatin immunoprecipitation sequencing (ChIP-seq) measurements to determine how p53 oscillation  ...[more]

Similar Datasets

2017-08-21 | GSE100099 | GEO
| S-EPMC5666385 | biostudies-literature
| S-EPMC2522240 | biostudies-literature
| S-EPMC3272258 | biostudies-literature
| S-EPMC3003696 | biostudies-literature
| S-EPMC6105438 | biostudies-literature
| S-EPMC9299242 | biostudies-literature
| S-EPMC10292158 | biostudies-literature
| S-EPMC1802567 | biostudies-literature
2011-12-08 | E-GEOD-31558 | biostudies-arrayexpress