Project description:Among the most important regulators of gene expression in bacteria are 'nucleoid-associated proteins'. These proteins alter the topology of the bound DNA by bending, wrapping or bridging it, thus having multiple effects, including transcriptional regulation, on the bacterial cell. Among the best-studied nucleoid proteins are H-NS and Fis, which bind to specific sequences on the DNA. H-NS is a global repressor of gene expression. Fis alters the global conformation of the DNA by introducing branched structures in it; but its effect on gene expression on a genomic scale remains largely unclear.<br><br>Several bacterial transcriptional regulators including H-NS and Fis have been studied using ChIP-chip. However, the higher resolution and dynamic range offered by ChIP-Seq have not been exploited for any bacterial species. By performing ChIP-Seq of these two proteins, we present the first such study in a bacterium. In addition to providing a proof-of-principle for the use of this technology for bacteria, we perform our study at multiple time-points during growth in rich medium, thus generating new insights into how these proteins function under different cellular conditions. Further, by analysing our data in conjunction with newly-generated gene expression and RNA polymerase-chromosome interaction data we provide new interpretation of the genome-scale patterns of the interactions of these proteins to the DNA.
Project description:IHF and HU are two heterodimeric nucleoid associated proteins (NAP) that belong to the same protein family but interact differently with the DNA. IHF is a sequence-specific DNA-binding protein that bends the DNA by over 160o. HU is the most conserved NAP which binds non-specifically to duplex DNA with a particular preference for targeting nicked and bent DNA. Despite their importance, the in-vivo interactions of the two proteins to the DNA remain to be described at a high resolution and on a genome-wide scale. Further, the effects of these proteins on gene expression on a global scale remain contentious. Finally, the contrast between the functions of the homo- and heterodimeric forms of these proteins deserves the attention of further study. Here we present a genome-scale study of HU- and IHF-binding to the E. coli K12 chromosome using ChIP-seq. We also perform microarray analysis of gene expression in single- and double-deletion mutants of each protein to identify their regulons. This data is for microarrays measuring gene expression changes in the various ihf mutants when compared to the wildtype.<br>
Project description:Investigation of comprehensive information about the expression level of RNA transcripts across the entire E.coli genome in mulitple growth conditions, including log-phase; stationary phase, heat shock and nitrogen-limiting condition. A fourteen chip study using total RNA recovered from four separate culture conditions of E.coli K12 MG1655. E.coli strains were harvested at mid-exponential phase with exception of stationary phase experiments. 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 three or more biological replicates (different cultures)
Project description:To study the regulatory outcome of Hfq-mediated sRNA-target interactions, we measured the change in gene expression following overexpression of each of five well-established sRNAs: GcvB, MicA, ArcZ, RyhB and CyaR. For each of the studied sRNAs we applied RNA-seq to two E. coli K-12 MG1655 strains: (1) a WT strain or a strain deleted of the sRNA gene; (2) a strain overexpressing the sRNA, either artificially from a plasmid or from the endogenous sRNA gene by changing the growth condition. For GcvB induction, the E. coli K-12 MG1655 Z1 gcvB::Cm, pZA12-gcvB and the E. coli K-12 MG1655 Z1 gcvB::Cm, pTP-011 strains were used. For MicA overexpression the E. coli K-12 MG1655lacIq pBRplac, pEF21-Hfq and the E. coli K-12 MG1655lacIq pMicA, pEF21-Hfq strains were used. For ArcZ induction the E. coli K-12 MG1655 Z1 arcZ::Cm, pZE12-ArcZ and the E. coli K-12 MG1655 Z1 arcZ::Cm, pJV300 strains were used. For RyhB overexpression the E. coli K-12 MG1655 ryhB::Cm and the E. coli K-12 MG1655 were used. For CyaR induction the E. coli K-12 MG1655 Z1 cyaR::Cm, pZE12-CyaR and the E. coli K-12 MG1655 Z1 cyaR::Cm, pJV300 strains were used. All E. coli strains used in this study were grown overnight in Luria Bertani (LB) medium at 37 °C with shaking (200 r.p.m.), diluted 100-fold in fresh LB medium, and re-grown with shaking at 37 °C to exponential phase, for GcvB (OD600 = 0.3) and for RyhB (OD600 = 0.5), or to stationary phase, for ArcZ WT, ArcZ M1, ArcZ M2 and CyaR (OD600 = 1.0) and for MicA (grown for 6 hr). For induction of ArcZ and GcvB, IPTG was added (1mM, 20 min). MicA was constitutively expressed and further induced at the end of growth with IPTG (1mM, 20 min). For induction of RyhB, the iron chelator 2,2'-Dipyridyl was added (200 μM, 30 min).
Project description:RNAseq was used to map transcription start sites globally in wild type Escherichia coli. Total RNA was isolated from cells grown in LB media until exponential phase.
Project description:Measuring precise concentrations of proteins can provide insights into biological processes. Here we use efficient protein extraction and sample fractionation, as well as state-of-the-art quantitative mass spectrometry techniques to generate a comprehensive, condition-dependent protein-abundance map for Escherichia coli. We measure cellular protein concentrations for 55% of predicted E. coli genes (>2,300 proteins) under 22 different experimental conditions and identify methylation and N-terminal protein acetylations previously not known to be prevalent in bacteria. We uncover system-wide proteome allocation, expression regulation and post-translational adaptations. These data provide a valuable resource for the systems biology and broader E. coli research communities.
Project description:The mechanism of evolution in different conditions can be examined from various molecular aspects that constitute a cell, namely, transcript, protein or metabolite abundance. We have analyzed transcript and metabolite abundance changes in evolved and ancestor strains in three different evolutionary conditions, namely, excess-nutrient adaptation, prolonged stationary phase adaptation and adaptation due to environmental shift, in two different strains of Escherichia coli K-12 (MG1655 and DH10B).
Project description:The physiological role of the various nucleoid-associated proteins in bacteria and HU in particular has been addressed in a number of studies but remains so far not fully understood. In this work, a genome-wide microarray hybridization approach, combined with in vivo genetic experimentation, has been performed in order to compare and evaluate the effect of HUalpha, HUbeta and HUalphabeta on the transcription of the Escherichia coli K12 genes as a function of growth phase. The histone-like protein HU is present in the E. coli cell under three dimeric forms (HUalphabeta, HUalpha2 and HUbeta2) in a ratio that varies with growth phase. The experimental protocol is designed to handle strain genotype and growth phase as independent variables. Experiment Overall Design: We used microarrays to investigate global bacterial gene expression in five genotypes of E. coli C600: WT (JO2057), hupA (JO2081), hupB (JO2083), hupAB (JO3020) and rpoS (MW30) at three growth growth phases: exponential, transition and stationary and in three growth media: LB, M9 minimal Glucose and M9 minimal Glycerol. The most relevant experiments were carried out in duplicate: the wild type (JO2057) and the hupAB (JO3020) strains were tested in the exponential and stationary phase, in LB. Wild type and hupAB strains were also tested in single experiments at the transition phase in LB. The single hupA (JO2081) and single hupB (JO2083) mutants were tested at the three growth phases in LB. Wild type and hupAB strains were compared in single experiments both in M9 Minimal Glucose and M9 Minimal Glycerol at the exponential and stationary phase. The last chips were used to test respectively the rpoS mutant at the at the exponential and stationary phase in LB.
Project description:To construct a regulatory map of the genome of the human pathogen, Mycobacterium tuberculosis, we applied two complementary high-resolution approaches, strand-specific RNA-seq and ChIP-seq, to survey the global transcriptome and monitor genome-wide dynamics of RNA polymerase (RNAP) and NusA. ChIP-seq revealed that RNAP and the antiterminator, NusA, occurred ubiquitously with the NusA profile mirroring RNAP distribution in both the exponential and stationary phases of growth. Generally, promoter-proximal peaks for RNAP and NusA were observed, followed by a decrease in signal strength reflecting transcriptional polarity. Differential binding of RNAP and NusA in the two growth conditions correlated with transcriptional activity as reflected by RNA abundance. Indeed, a significant association between expression levels and the presence of NusA throughout the gene body was detected, confirming the peculiar transcription-promoting role of NusA. Integration of the datasets pinpointed transcriptional units, mapped promoters and uncovered new anti-sense and non-coding transcripts. Highly expressed transcriptional units were situated mainly on the leading strand, despite the relatively unbiased distribution of genes throughout the genome, thus helping the replicative and transcriptional complexes to align. ChIP-Seq of RNAP and NusA in Mtb H37Rv at exponential and stationary phase cultures. Each experiment was performed in duplicate. Input DNA (No IP) was used as a control.
Project description:New tools for studying bacterial transcripts at the single nucleotide level offer an unparalleled opportunity to understand the bacterial transcriptome. For the model pathogen Salmonella enterica serovar Typhimurium, it is necessary to identify the regulatory inputs for all RNA transcripts, including small RNAs (sRNAs) and coding genes. Here, we use RNA-seq to define the transcriptomes of mutants lacking 18 global regulatory systems that, among other functions, modulate the expression of the SPI1 and SPI2 Type Three secretion systems in S. Typhimurium strain 4/74. We directly compared the roles of the major regulators of transcription, and reported the effects of the regulatory mutations on expression of sRNAs. We also use this method to describe the impact of the RNA chaperone Hfq upon the steady state levels of 280 sRNA transcripts. Transcriptome analysis of S. Typhimurium 4/74 using RNA isolated wild-type and mutants grown under infection-relevant conditions.