Project description:Study of the mechanisms of RecB mutant terminus DNA loss in Escherichia coli. FX158: WT MG1655 FX35: recB- FX37: ruvAB- FX51: matP- MIC18: recB- sbcD- sbcC- MIC20: recB- ruvAB- MIC24: matP- recB- MIC25: recA- recB- MIC31: sbcB- sbcD- MIC34: recA- recD- MIC40: linear chromosome MIC41: linear chromosome recB- MIC42: matP- ftsKC- MIC43: matP- ftsKC- recB- MIC48: recA- Cells were grown in M9 minimal medium supplemented with 0.4 % glucose to exponential phase (0.2 OD 650 nm). Chromosomal DNA was extracted using the Sigma GenElute bacterial genomic DNA kit. 5 μg of DNA were used to generate a genomic library according to Illumina's protocol. The libraries and the sequencing were performed by the High-throughput Sequencing facility of the I2BC (http://www.i2bc.paris-saclay.fr/spip.php?article399&lang=en, CNRS, Gif-sur-Yvette, France). Genomic DNA libraries were made with the ‘Nextera DNA library preparation kit’ (Illumina) following the manufacturer’s recommendations. Library quality was assessed on an Agilent Bioanalyzer 2100, using an Agilent High Sensitivity DNA Kit (Agilent technologies). Libraries were pooled in equimolar proportions. 75 bp single reads were generated on an Illumina MiSeq instrument, using a MiSeq Reagent kit V2 (500 cycles) (Illumina), with an expected depth of 217X. An in-lab written MATLAB-based script was used to perform marker frequency analysis. Reads were aligned on the Escherichia coli K12 MG1655 genome using BWA software. Data were normalized by dividing uniquely mapping sequence reads by the total number of reads. Enrichment of uniquely mapping sequence reads in 1 kb non-overlapping windows were calculated and plotted against the chromosomal coordinates.
Project description:The goal of this study is to compare gene expression data for a well known model organism (Escherichia coli) using different technologies (NGS here, microarray from GSE48776). mRNA profiles of Wild Type and two Mutant Strains (ydcR (b1439) MUTANT and yjiR (b4340) MUTANT), growth in minimal medium, were generated by deep sequencing, in triplicate, using Illumina MiSeq.
Project description:The proteome of Escherichia coli was established by shotgun proteomics and changes upon treatment with phosphinic compounds were measured, highlighting the potential of these new antimicrobials.
Project description:Shotgun proteomic analysis of the 15 kDa proteome of WT and ∆msrP Escherichia coli cells during chlorite stress focussed on the Spy protein
Project description:This SuperSeries is composed of the following subset Series: GSE41936: Rho and NusG suppress pervasive antisense transcription in Escherichia coli [ChIP-chip]. GSE41938: Rho and NusG suppress pervasive antisense transcription in Escherichia coli [tiling array]. GSE41939: Rho and NusG suppress pervasive antisense transcription in Escherichia coli [RNA-seq]. Refer to individual Series
Project description:Despite the prevalence of antisense transcripts in bacterial transcriptomes, little is known about how their synthesis is controlled. We report that a major function of the Escherichia coli termination factor Rho and its co-factor NusG is suppression of ubiquitous antisense transcription genome-wide. Rho binds C-rich unstructured nascent RNA (high C/G ratio) prior to its ATP-dependent dissociation of transcription complexes. NusG is required for efficient termination at minority subsets (~20%) of both antisense and sense Rho-dependent terminators with lower C/G ratio sequences. In contrast, a widely studied nusA deletion proposed to compromise Rho-dependent termination had no effect on antisense or sense Rho-dependent terminators in vivo. Global co-localization of the nucleoid-associated protein H-NS with Rho-dependent terminators and genetic interactions between hns and rho suggest that H-NS aids Rho in suppression of antisense transcription. The combined actions of Rho, NusG, and H-NS appear to be analogous to the Sen1-Nrd1-Nab3 and nucleosome systems that suppress antisense transcription in eukaryotes. RNA-seq experiments were performed on ribosome-depleted RNA from cells treated with 20 ug/ml bicyclomycin or untreated cells. The series contains 4 datasets.
Project description:We analyzed total proteome of three methyltransferase gene knockouts strains of Escherichia coli: ΔrsmF (JW5301), ΔrlmC (JW2756), ΔrlmE (JW3146) from Keio collection and wild type (WT). Proteins were assessed using IDA approach (i.e. Information Dependent Acquisition) and SWATH (Data-Independent Acquisition) on Sciex TripleTof 5600+ mass‐spectrometer with a NanoSpray III ion source (ABSciex, Canada) coupled to a NanoLC Ultra 2D+ nano‐HPLC system (Eksigent). Dataset covers 16 samples.
Project description:We evolved Escherichia coli cells over 500 generations under five environments that include four abiotic stressors: osmotic, acidic, oxidative, n-butanol, and control The goal of the experiment: Bacterial populations have a remarkable capacity to cope with extreme environmental fluctuations in their natural environments. In certain cases, adaptation to one stressful environment provides a fitness advantage when cells are exposed to a second stressor, a phenomenon that has been coined as cross-stress protection. A tantalizing question in bacterial physiology is how the cross-stress behavior emerges during adaptation and what the genetic basis of acquired stress resistance is. RNA profiles were obtained for six E. coli strains evolved for 500 generations under abiotic stressors; two technical replicates for each strain where sequenced by Illumina GAII analyzer