Similar Datasets
Project description:Distribution of topoisomerase I (EcTopoI) on genomic sites was studied for exponentially growing Escherichia coli in different conditions using ChIP-Seq.
2022-01-01 | GSE181915 | GEO
Project description:Distribution of R-loops on genomic sites was studied for exponentially growing Escherichia coli in different conditions using strand-specific DRIP-Seq with S9.6 antibodies.
2022-01-01 | GSE181945 | GEO
Project description:Exponentially Growing Escherichia coli
| PRJNA261257 | ENA
Project description:We integrated RNAP binding regions (RBRs) and mRNA transcript abundance to determine segments of contiguous transcription originating from promoter regions. To measure RBRs at a genome scale, we employed a ChIP-chip method to E. coli K-12 MG1655 grown in the presence or absence of rifampicin under multiple growth conditions using antibody against E. coli RNAP beta subunit.
2009-11-04 | GSE15588 | GEO
Project description:We examined the chromosomal distribution of GFP-tagged Tus (Tus-GFP) in exponentially growing E. coli (KRX) using chromosome immunoprecipitation (ChIP)-Seq. Our ChIP-seq allowed delineation of a refined minimal replication fork trap within E. coli comprising two clusters of three Ter sites
2021-12-01 | GSE163680 | GEO
Project description:These data were used to infer the genome-wide localization of sigma70 and core RNAP beta subunit for the study "The transition between transcriptional initiation and elongation in E. coli is highly variable and often rate-limiting" (Reppas et al. 2006). This study analyzes transfrags with respect to the ChIP profile of the sigma70 and the beta subunit of RNA polymerase. Keywords: ChIP-chip; tiled analysis of mRNA expression
2006-10-19 | GSE6061 | GEO
Project description:We integrated RNAP binding regions (RBRs) and mRNA transcript abundance to determine segments of contiguous transcription originating from promoter regions. To measure RBRs at a genome scale, we employed a ChIP-chip method to E. coli K-12 MG1655 grown in the presence or absence of rifampicin under multiple growth conditions using antibody against E. coli RNAP beta subunit. A twelve ChIP-chip study using immunoprecipitated DNA (IP-DNA) from four separate culture conditions with and/or without rifampicin treatment. The high-density oligonucleotide tiling arrays used were consisted of 371,034 oligonucleotide probes spaced 25 bp apart (25-bp overlap between two probes) across the E. coli genome (NimbleGen). Experiments were conducted as biological duplicates or triplicates (different cultures).
2009-11-03 | E-GEOD-15588 | biostudies-arrayexpress
Project description:To obtain an insight into the in vivo dynamics of RNA polymerase (RNAP) on the B. subtilis genome, we analyzed the distribution of ?A and ? subunits of RNAP and the NusA elongation factor on the genome in exponentially growing cells, using the ChAP (Chromatin Affinity Precipitation)-chip method. In contrast to E. coli RNAP, which often accumulates at the promoter-proximal region, B. subtilis RNAP is evenly distributed from the promoter to the coding sequences in the majority of genes. This finding suggests that B. subtilis RNAP recruited to the promoter promptly translocates away from the promoter to form the elongation complex. We detected RNAP accumulation in the promoter-proximal regions of some genes, most of which are attributed to transcription attenuation systems in the leader region. Our findings suggest that the differences in RNAP behavior during initiation and early elongation steps between E. coli and B. subtilis result in distinct strategies for post-initiation control of transcription. The E. coli mechanism involves trapping at the promoter and promoter-proximal pausing of RNAP in addition to transcription attenuation, whereas transcription attenuation in leader sequences is mainly employed in B. subtilis. Wild-type strain, Bacillus subtilis 168, was also used for RNA and genomic DNA extraction and analysis - RNA data was divided by genome DNA data to normalize (1) PCR bias and (2) copy number of RNA molecule per genome for multi-copy genome of exponentially growing bacteria.
2010-06-29 | E-MEXP-2649 | biostudies-arrayexpress
Project description:The robustness and sensitivity of gene networks to environmental changes is critical for cell survival. How gene networks produce specific, chronologically ordered responses to genome-wide perturbations, while robustly maintaining homeostasis, remains an open question. We analysed if short- and mid-term genome-wide responses to shifts in RNA polymerase (RNAP) concentration are influenced by the known topology and logic of the transcription factor network (TFN) of Escherichia coli. We found that, at the gene cohort level, the magnitude of the single-gene, mid-term transcriptional responses to changes in RNAP concentration can be explained by the absolute difference between the gene’s numbers of activating and repressing input transcription factors (TFs). Interestingly, this difference is strongly positively correlated with the number of input TFs of the gene. Meanwhile, short-term responses showed only weak influence from the TFN. Our results suggest that the global topological traits of the TFN of E. coli shape which gene cohorts respond to genome-wide stresses.
2022-06-07 | GSE197447 | GEO
Project description:The robustness and sensitivity of gene networks to environmental changes is critical for cell survival. How gene networks produce specific, chronologically ordered responses to genome-wide perturbations, while robustly maintaining homeostasis, remains an open question. We analysed if short- and mid-term genome-wide responses to shifts in RNA polymerase (RNAP) concentration are influenced by the known topology and logic of the transcription factor network (TFN) of Escherichia coli. We found that, at the gene cohort level, the magnitude of the single-gene, mid-term transcriptional responses to changes in RNAP concentration can be explained by the absolute difference between the gene’s numbers of activating and repressing input transcription factors (TFs). Interestingly, this difference is strongly positively correlated with the number of input TFs of the gene. Meanwhile, short-term responses showed only weak influence from the TFN. Our results suggest that the global topological traits of the TFN of E. coli shape which gene cohorts respond to genome-wide stresses.
2022-06-07 | GSE178278 | GEO