Genomics

Dataset Information

0

Interlocking Transcriptional Feedback Loops Control White-Opaque Switching in Candida albicans


ABSTRACT: The human pathogen Candida albicans can assume either of two distinct cell types, designated ‘‘white’’ and ‘‘opaque.’’ Each cell type is maintained for many generations; switching between them is rare and stochastic, and occurs without any known changes in the nucleotide sequence of the genome. The two cell types differ dramatically in cell shape, colony appearance, mating competence, and virulence properties. In this work, we investigate the transcriptional circuitry that specifies the two cell types and controls the switching between them. First, we identify two new transcriptional regulators of white-opaque switching, Czf1 and white-opaque regulator 2 (Wor2). Analysis of a large set of double mutants and ectopic expression strains revealed genetic relationships between CZF1, WOR2, and two previously identified regulators of white-opaque switching, WOR1 and EFG1. Using chromatin immunoprecipitation, we show that Wor1 binds the intergenic regions upstream of the genes encoding three additional transcriptional regulators of white-opaque switching (CZF1, EFG1, and WOR2), and also occupies the promoters of numerous white- and opaque-enriched genes. Based on these interactions, we have placed these four genes in a circuit controlling white-opaque switching whose topology is a network of positive feedback loops, with the master regulator gene WOR1 occupying a central position. Our observations indicate that a key role of the interlocking feedback loop network is to stably maintain each epigenetic state through many cell divisions. Keywords: ChIP-chip

ORGANISM(S): Candida albicans

PROVIDER: GSE8709 | GEO | 2007/10/01

SECONDARY ACCESSION(S): PRJNA101945

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-01-11 | GSE75124 | GEO
2016-01-11 | E-GEOD-75124 | biostudies-arrayexpress
2013-05-01 | E-GEOD-42837 | biostudies-arrayexpress
2013-05-01 | GSE42837 | GEO
2015-12-28 | GSE74011 | GEO
2014-06-30 | E-GEOD-53671 | biostudies-arrayexpress
2017-01-30 | GSE81514 | GEO
2014-06-30 | GSE53671 | GEO
2013-06-20 | GSE41064 | GEO
2013-06-20 | E-GEOD-41064 | biostudies-arrayexpress