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Genome-wide protein-DNA interaction analysis of CceR and AkgR transcription factors

ABSTRACT: To gain a better understanding of the transcription factors that regulate central carbon metabolism in Rhodobacter sphaeroides ChIP-seq was used to determine the genome-wide binding locations of 2 transcription factors: CceR (RSP_1663) and AkgR (RSP_0981) both predicted to be involved in the regulation of of central carbon and energy metabolism.

ORGANISM(S): Cereibacter sphaeroides

PROVIDER: GSE63449 | GEO | 2015/02/02

SECONDARY ACCESSION(S): PRJNA267772

REPOSITORIES: GEO

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Genome-wide protein-DNA interaction analysis of CceR and AkgR transcription factors

Project description:To gain a better understanding of the transcription factors that regulate central carbon metabolism in Rhodobacter sphaeroides ChIP-seq was used to determine the genome-wide binding locations of 2 transcription factors: CceR (RSP_1663) and AkgR (RSP_0981) both predicted to be involved in the regulation of of central carbon and energy metabolism. Genome-wide protein-DNA interaction analysis of 2 transcription factors predicted to be involved in regulation of central carbon metabolism CceR and AkgR

2015-02-02 | E-GEOD-63449 | biostudies-arrayexpress

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Project description:To gain a better understanding of the transcription factors that regulate central carbon metabolism in Rhodobacter sphaeroides global gene expression analysis was used to determine genes under the regulatory influence of 2 transcription factors: CcmR (RSP_1663) and AkgR (RSP_0981) both predicted to be involved in the regulation of central carbon and energy metabolism. Microarray analysis conducted for deletion strains of 2 transcription factors known or predicted to be involved in the regulation of central carbon metabolism in Rhodobacter sphaeroides using the R. sphaeroides Affymetrix gene chip. These deletion mutant expression profiles were compared to that of wild type cells to determine differentially expressed genes regulated by these transcription factors.

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Project description:By integrating sequence information from closely related bacteria with a compendium of high-throughput gene expression datasets, a large-scale transcriptional regulatory networks was constructed for Rhodobacter sphaeroides. Predictions from this network were validated in part using genome-wide analysis for 3 transcription factors (PpsR, RSP_0489 and RSP_3341). Genome-wide protein-DNA interaction analysis of 3 transcription factors predicted to be involved in photosynthesis (PpsR), carbon metabolism (RSP_0489) and iron homeostasis (RSP_3341) were used to validate predictions from a large-scale reconstruction of R. sphaeroides transcriptional regulatory network.

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