RNAtag-Seq data generated from 22 host-relevant conditions in Campylobacter jejuni
Ontology highlight
ABSTRACT:
INSTRUMENT(S): NextSeq 550
ORGANISM(S): Campylobacter jejuni subsp. jejuni NCTC 11168 = ATCC 700819
SUBMITTER: Stephen Li
PROVIDER: E-MTAB-11309 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The transcription start sites of the Campylobacter jejuni genome was identified by Cappable-seq, which captures primary transcripts by capping the 5´ triphosphorylated end
2022-05-27 | E-MTAB-11308 | biostudies-arrayexpress
Project description:During colonization in the host gastrointestinal tract, the enteric bacteria Campylobacter jejuni is exposed to a variety of signaling molecules including the catecholamine hormones epinephrine (Epi) and norepinephrine (NE). NE has been determined to stimulate the growth of C. jejuni as well as increase its pathogenicity. To investigate the mechanisms of NE or Epi on the biology of C. jejuni, the global gene expression profiles of C. jejuni NCTC 11168 cultured in iron-restricted medium were analyzed in response to NE or Epi. Totally, 183 and 156 genes were differentially expressed by NE and Epi respectively, with 102 differentially expressed genes common between the two treatments. These genes are involved in diverse cellular functions including iron uptake systems, motility, virulence, oxidative stress response, nitrosative stress tolerance, enzyme metabolism, DNA repair and metabolism and ribosomal protein biosynthesis. Adherence to and invasion of Caco-2 cells by C. jejuni were enhanced upon exposure to NE or Epi. These results indicated that NE and Epi have similar effects on the gene expression of C. jejuni and that the effects on gene expression may contribute to elucidate the mechanisms on interaction between host and C. jejuni. Transcriptional profiles were analyzed using microarray to compared the epinephrine (Epi) or norepinephrine (NE) treated and untreated Campylobacter jejuni NCTC 11168. NE or Epi treated and untreated cultures of C. jejuni NCTC 11168 were collected at the mid-log phase (?36 h cultures). Three (for NE or Epi treated culture) or four (for untreated control culture) independent biological replicates were performed. Total RNA was extracted using RiboPure™-Bacteria Kit (Ambion, Life Technologies) according to the manufacturer’s instructions. The quality and quantity of total RNA were determined by an Agilent Bioanalyzer 2100. Total RNA was amplified and labeled by Low Input Quick Amp Labeling Kit, One-Color, following the manufacturer’s instructions. Labeled cRNA were purified by RNeasy mini kit (QIAGEN, GmBH, Germany). Each Slide was hybridized with 600ng Cy3-labeled cRNA using Gene Expression Hybridization Kit (Agilent technologies, Santa Clara, CA, US) in Hybridization Oven, according to the manufacturer’s instructions. After 17 hours hybridization, slides were washed in staining dishes with Gene Expression Wash Buffer Kit (Agilent technologies, Santa Clara, CA, US), followed the manufacturer’s instructions. Slides were scanned by Agilent Microarray Scanner with default settings, Dye channel: Green, Scan resolution=5?m, PMT 100%, 10%, 16bit. Data were extracted with Feature Extraction software 10.7. Raw data were normalized by Quantile algorithm, Gene Spring Software 11.0. The genes with fold change ? 1.5 and P < 0.05 were selected as differentially expressed.
2015-02-10 | E-GEOD-65187 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2013-10-10 | E-GEOD-43026 | biostudies-arrayexpress
Project description:Erythromycin is the drug of choice to treat campylobacteriosis, but resistance to this antibiotic is rising. The adaptive mechanisms employed by Campylobacter jejuni to erythromycin treatment remain unknown. The aim of this study is to determine the molecular basis underlying CampylobacterM-bM-^@M-^Ys immediate response to Ery treatment. The design utilized an available two color microarray slide for the entire transcriptome of Campylobacter jejuni wild type strain NCTC 11168. One hybridizations were performed: sham-treated NCTC 11168 v.s. lethal dose erythromycin treated NCTC 11168. Samples were independently grown and harvested. There were three biological replicates of each sample.
2013-10-10 | E-GEOD-43023 | biostudies-arrayexpress
Project description:Erythromycin is the drug of choice to treat campylobacteriosis, but resistance to this antibiotic is rising. The adaptive mechanisms employed by Campylobacter jejuni to erythromycin treatment remain unknown. The aim of this study is to determine the molecular basis underlying CampylobacterM-bM-^@M-^Ys immediate response to Ery treatment. The design utilized an available two color microarray slide for the entire transcriptome of Campylobacter jejuni wild type strain NCTC 11168. One hybridizations were performed: sham-treated NCTC 11168 v.s. sub-lethal dose erythromycin treated NCTC 11168. Samples were independently grown and harvested. There were three biological replicates of each sample.
2013-10-10 | E-GEOD-43024 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE18427: Addition of Exogenous AI-2 to C. jejuni 11168 Wild Type and LuxS01. GSE18451: Wild Type 11168 versus LuxS01 Mutant Cultured in MHB and MEM- ? media Refer to individual Series
2009-10-08 | E-GEOD-18455 | biostudies-arrayexpress
Project description:We report the use of RNA-seq analysis for the determination of RPKM transcript levels in wildtype and fur perR mutant of Campylobacter jejuni NCTC 11168. This allows for comparison of gene expression levels. Campylobacter jejuni NCTC 11168 wildtype and fur perR mutant were grown to late log phase, RNA was purified and used for RNA-sequencing by Illumina HiSeq sequencing
2014-07-01 | E-GEOD-49687 | biostudies-arrayexpress
Project description:Regulatory proteins can bind to different sets of genomic targets in various cell types or conditions. To reliably characterize such condition-specific regulatory binding we introduce MultiGPS, an integrated machine learning approach for the analysis of multiple related ChIP-seq experiments. MultiGPS is based on a generalized Expectation Maximization framework that shares information across multiple experiments for binding event discovery. We demonstrate that our framework enables the simultaneous modeling of sparse condition-specific binding changes, sequence dependence, and replicate-specific noise sources. MultiGPS encourages consistency in reported binding event locations across multiple-condition ChIP-seq datasets and provides accurate estimation of ChIP enrichment levels at each event. MultiGPSM-bM-^@M-^Ys multi-experiment modeling approach thus provides a reliable platform for detecting differential binding enrichment across experimental conditions. We demonstrate the advantages of MultiGPS with an analysis of Cdx2 binding in three distinct developmental contexts. By accurately characterizing condition-specific Cdx2 binding, MultiGPS enables novel insight into the mechanistic basis of Cdx2 site selectivity. Specifically, the condition-specific Cdx2 sites characterized by MultiGPS are highly associated with pre-existing genomic context, suggesting that such sites are pre-determined by cell-specific regulatory architecture. However, MultiGPS-defined condition-independent sites are not predicted by pre-existing regulatory signals, suggesting that Cdx2 can bind to a subset of locations regardless of genomic environment. In this study, we characterize the binding of Cdx2 in embryonic stem cells, endodermal cells, and progenitor motor neurons using V5- or FLAG-tagged doxycycline inducible Cdx2 ESC lines (iCdx2). Endoderm and progenitor motor neurons are generated from the ES cells using directed differentiation approaches. The cells are then exposed to Dox to express the tagged Cdx2 construct. The genome-wide binding of the induced full-length Cdx2 transcription factor is profiled using ChIP-seq with an anti-V5 or anti-FLAG antibody. We also examine the binding behavior of a truncated version of the Cdx2 protein, where a protein interaction domain contained in the first 59 amino acids has been deleted. An appropriate pseudo-IP control experiment for these ChIP-seq experiments has been previously submitted under accession number GSM766062.
2014-03-27 | E-GEOD-39435 | biostudies-arrayexpress
Project description:Campylobacter jejuni is one of the leading causes of bacterial diarrhea worldwide and the most common antecedent in peripheral neuropathies such as Guillain Barré and Miller Fisher syndromes (Blaser et al., 2000). Despite the medical and socioeconomic importance of C. jejuni, the proportion of human disease caused by different sources of infection remains unclear. Indeed, this issue has hindered effective control strategies against reducing C. jejuni levels from the food chain. Up to date, a vast number of phenotypic and genotypic typing systems and a large number of databases have been developed in order to determine the different Campylobacter infection sources. However, traditional methods are unable to discriminate strains from different sources that are responsible for causing disease in humans. Interestingly, DNA microarrays represent a technological alternative to compare entire genomes, allowing the identification of all the genes present or absent in a particular strain by comparison with the genome of the reference strain present in the microarray. Previous comparative genomic hybridazation studies of C. jejuni using DNA microarrays have focused on the genetic variability in C. jejuni (Dorrell et al., 2001), which suggest that this organism has high levels of genetic diversity and low levels of genetic plasticity (Taboada et al., 2004). On that account, the aim of this study was based on a comparison by CGH (Comparative Genomic Hybridization) using DNA microarrays for determining the degree of genomic variability of C. jejuni strains from different geographical areas and sources of isolation. This system enabled us to identify possible genes that could be used as genetic markers predictive of infection source. Furthermore, CGH data provide additional information that could be useful for the formulation of new hypotheses about C. jejuni genome evolution, virulence, pathogenicity, and host specificity.
2015-06-15 | E-MTAB-3550 | biostudies-arrayexpress
Project description:Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) is the method of choice to study function of transcription factors in cell fate determination. This technique faces two major obstacles when applied to developmental studies: the availability of ChIP grade antibodies and access to sufficient quantities of the cells of interest. We present a robust method for the genome-wide analysis of transcription factor binding during development in highly homogenous cells in defined developmental states. It combines efficient embryonic stem cell (ESC) differentiation protocols with an inducible system of tagged transcription factors to enable affinity based assays such as ChIP-seq during lineage specific development. To validate the system, we compared the activity and genomic binding of native and V5-tagged Olig2 in motor neuron progenitors and Flag-tagged and V5-tagged Hoxc9 in motor neurons. We find that tagging transcription factors and expressing them alongside their endogenous counterparts does not alter their function or genomic association. The technology presented here can be applied to known as well as novel DNA-binding proteins. In combination with a suitable ESC differentiation paradigm it can be applied to determine how lineage-specific transcriptional networks are established and regulated. The aim of this study is to validate a platform for analysis of transcription factor binding that combines directed differentiation of ES cells with an inducible system of tagged transcription factors. Here, we perform ChIP-seq analysis to compare binding profiles of Olig2 as found using a native antibody and anti-V5 against the epitope tag. We also compare the ChIP-seq profiles of Hoxc9 as found using two independent epitope tags (V5 and FLAG). In all, there are 6 Illumina sequence datasets in this submission, including one replicate for each of native Olig2, iOlig2-V5 and FLAG-iHoxc9, two replicates of iHoxc9-V5, and a pseudo-ChIP control using anti-V5 in a non-induced iOlig2 cell-line. The differentiation of ventral motor neurons is induced by treating embryonic stem cell cultures with retinoic acid and hedgehog.
2011-11-12 | E-GEOD-30882 | biostudies-arrayexpress