Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of Mycobacterium tuberculosis - a bayesian change point model for differential gene expression patterns of the DosR regulon

ABSTRACT: Data is also available from http://bugs.sgul.ac.uk/E-BUGS-54

INSTRUMENT(S): Chemostat

ORGANISM(S): Mycobacterium tuberculosis

SUBMITTER:

PROVIDER: E-BUGS-54 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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A Bayesian Change point model for differential gene expression patterns of the DosR regulon of Mycobacterium tuberculosis.

Zhang Yi Y Hatch Kim A KA Wernisch Lorenz L Bacon Joanna J

BMC genomics 20080222

<h4>Background</h4>Low oxygen availability has been shown previously to stimulate M. tuberculosis to establish non-replicative persistence in vitro. The two component sensor/regulator dosRS is a major mediator in the transcriptional response of M. tuberculosis to hypoxia and controls a regulon of approximately 50 genes that are induced under this condition. The aim of this study was to determine whether the induction of the entire DosR regulon is triggered as a synchronous event or if induction ...[more]

PMID: 18294384

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Dataset Information

Transcription profiling of Mycobacterium tuberculosis - a bayesian change point model for differential gene expression patterns of the DosR regulon

Publications

A Bayesian Change point model for differential gene expression patterns of the DosR regulon of Mycobacterium tuberculosis.

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