RNA-Seq based transcriptional map of bovine respiratory disease pathogen 'Histophilus somni 2336'
Ontology highlight
ABSTRACT:
ORGANISM(S): Histophilus somni
SUBMITTER: Ranjit Kumar
PROVIDER: E-GEOD-29578 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:We used the RNA-seq technology to do a genome-wide transcriptional analysis of A. pleuropneumoniae strain JL03 and investigated the transcriptome structure at a single-nucleotide resolution.The RNA-Seq based transcriptome map validated annotated genes and corrected annotations of open reading frames in the genome, and led to the identification of many functional elements (e.g. regions encoding novel proteins, non-coding sRNAs and operon structures). Transcript profiling of a single sample by RNA-Seq
2016-07-01 | E-GEOD-70153 | biostudies-arrayexpress
Project description:Identification of cell-type specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. Using chromatin immunoprecipitation followed by massively parallel sequencing, genome-wide maps of candidate enhancers were constructed for p300 and four transcription factors, GATA1, NF-E2, KLF1, and SCL, using primary human erythroid cells. These data were combined with gene expression analyses and candidate enhancers identified. Consistent with their predicted function as candidate enhancers, there was statistically significant enrichment of p300 and combinations of co-localizing erythroid transcription factors within 1-50 kb of the TSS of genes highly expressed in erythroid cells. Candidate enhancers were also enriched near genes with known erythroid cell function or erythroid cell phenotypes. Candidate enhancers exhibited only moderate conservation with mouse and minimal conservation with nonplacental vertebrates. Candidate enhancers were mapped to a data set of erythroid-associated, biologically relevant, SNPs from the GWAS catalog of the NHGRI. Fourteen candidate enhancers, representing 10 genetic loci, mapped to sites associated with biologically relevant erythroid traits. Fragments from these loci directed statistically significant expression in reporter gene assays. Identification of enhancers in human erythroid cells will allow a better understanding of erythroid cell development, differentiation, structure, and function, and provide insights into inherited and acquired hematologic disease. CD34+-selected stem and progenitor cells were expanded for three days in the absence of EPO. The cells were further cultured in the presence of EPO, and formaldehyde crosslinked chromatin was isolated after cells differentiated into R3/R4 nucleated erythroid cells. Chromatin Immunoprecipitation followed by sequencing (chIP-seq) was performed using antibodies against GATA1, KLF1, NFE2, TAL1, p300, H3K4me2 and H3K4me3, along with a total input control. Raw data (fastq, SRA) is missing for the TAL1 chIP-seq dataset
2013-01-28 | E-GEOD-43625 | biostudies-arrayexpress
Project description:Here we used rhesus monkey as an animal model and compared the endometrial miRNA expression profiles during early-secretory (day 15, pre-receptive) phase and mid-secretory (day 21, receptive) phase by deep sequencing. In order to facilitate the prediction of their target genes, the 3'-UTRome was also determined using tag sequencing of mRNA 3'-termini. Defining the microRNome and the 3'-UTRome in the endometrium of rhesus monkey.
2011-07-30 | E-GEOD-31041 | biostudies-arrayexpress
Project description:Aristolochic Acid (AA), a natural component of Aristolochia plants found in a variety of herbal remedies and health supplements, is classified as a group 1 carcinogen by the International Agency for Research on Cancer. In order to search for miRNA regulation in AA-induced carcinogenesis, we treated rats with 10 mg/kg AA and vehicle control for 12 weeks and eight kidney samples (4 for the treatment and 4 for the control) were used for examining miRNA by deep sequencing. Profiliing of miRNA in 4 AA-treated rats and 4 control
2015-01-15 | E-GEOD-54338 | biostudies-arrayexpress
Project description:The conserved TFIIH helicases XPB and XPD play key roles in transcription initiation and DNA repair. To investigate the functions of these helicases on a genome-wide scale, we performed ChIP-seq of endogenous XPB and XPD in the HT1080 human fibrosarcoma cell line. 2 ChIP samples and 1 unenriched input control from the same crosslinked chromatin pool
2014-02-18 | E-GEOD-44849 | biostudies-arrayexpress
Project description:The CSB-PGBD3 fusion protein arose over 43 million years ago when a 2.5 kb piggyBac 3 (PGBD3) transposon inserted into intron 5 of the Cockayne syndrome Group B (CSB) gene in the common ancestor of all higher primates. The CSB-PGBD3 fusion protein binds internally-deleted PGBD3 elements called MER85s in vitro, and induces a strong interferon-like innate antiviral immune response when expressed in CSB-null UVSS1KO cells. To explore the connection between DNA binding and gene expression changes induced by CSB-PGBD3, we investigated the genome-wide DNA binding profile of the fusion protein. 1 ChIP sample and 1 unenriched input control from the same crosslinked chromatin pool
2012-07-10 | E-GEOD-37919 | biostudies-arrayexpress
Project description:Zoo-ChIP: Functional analysis of experimentally determined combinatorial transcription factor binding in multiple mammalian species
2014-09-27 | E-MTAB-1509 | biostudies-arrayexpress
Project description:Malaria is caused by Plasmodium parasites, which are transmitted via the bites of infected Anopheline mosquitoes. Midgut invasion is a major bottleneck for Plasmodium development inside the mosquito vectors as a rapidly responding immune system recognizes ookinetes and recruits killing factors from the midgut and surrounding tissues, dramatically reducing the population of invading ookinetes before they can successfully traverse the midgut epithelium. Understanding molecular details of the parasite-vector interactions requires precise measurement of nascent protein synthesis in the mosquito during Plasmodium infection. Current expression profiling primarily monitors alterations in steady-state levels of mRNA, but does not address the equally critical issue of whether the proteins encoded by the mRNAs are actually synthesized. In this study, we used sucrose density gradient centrifugation to isolate actively translating Anopheles gambiae mRNAs based upon their association with polyribosomes (polysomes). The proportion of individual gene transcripts associated with polysomes, which is determined by RNA deep sequencing, reflects mRNA translational status. This approach led to identification of 1017 mosquito transcripts that were primarily regulated at the translational level after ingestion of Plasmodium falciparum-infected blood. Caspar, a negative regulator of the NF-kappaB transcription factor Rel2, appears to be substantially activated at the translational levels during Plasmodium infection. In addition, transcripts of Dcr1, Dcr2 and Drosha, which are involved in small RNA biosynthesis, exhibited enhanced associations with polysomes after P. falciparum challenge. This observation suggests that mosquito microRNAs may play an important role in reactions against Plasmodium invasion. We analyzed both total cellular mRNAs and mRNAs that are associated with polysomes to simultaneously monitor transcriptomes and nascent protein synthesis in the mosquito. This approach provides more accurate information regarding the rate of protein synthesis, and identifies some mosquito factors that might have gone unrecognized because expression of these proteins is regulated mainly at the translational level rather than at the transcriptional level after mosquitoes ingest a Plasmodium-infected blood meal. Midguts from female Anopheles gambiae mosquitoes were dissected at around 24 h after ingestion of P. falciparum-infected blood. Mosquitoes fed on uninfected blood were used as control. A portion of the midguts were used for isolation of total cellular RNA. Extracts of the remaining midguts were fractionated over sucrose density gradients, and fifteen fractions were collected from the top of each gradient. Non-polysomal fractions, as well as polysomal fractions were combined, respectively, to obtain two RNA pools per gradient for three independent experiments. The first, last and the sample between non-polysomal and polysomal, were all discarded to ensure pure pools from each set. A fourth experiment was conducted where the polysomal and non-polysomal samples were not pooled, to be used later for qRT-PCR. The mRNA levels of individual mosquito genes in polysome (PS) fractions, nonpolysome (NP) fractions and unfractionated steady-state (total) RNA were determined using high throughput RNA deep sequencing. Each RNA pool generated 2.1-9.8 million raw read . Signal intensities of transcripts from each PS pool were compared to those of transcripts from a matching NP pool. To quantify the translational status of individual mRNA species, we define the relative PS loading [PL=P/(P+NP)] as the extent of mRNA association with polysomes. PL values were compared between the mosquitoes fed on P. falciparum-infected or -uninfected blood.
2012-09-21 | E-GEOD-38707 | biostudies-arrayexpress
Project description:To capture the global gene changes associated with pregnancy experience, uterine tissues were collected on day 8 of pregnancy from mice during the first pregnancy and second pregnancy, respectively. Transcriptomes were determined by RNA-seq. Identifying global gene changes associated with pregnancy experience
2015-05-20 | E-GEOD-69018 | biostudies-arrayexpress
Project description:Transitions between pluripotent stem cells and differentiated cells are executed by key transcription regulators. Comparative measurements of RNA polymerase distribution over the genomeM-bM-^@M-^Ys primary transcription units in different cell states can identify the genes and steps in the transcription cycle that are regulated during such transitions. To identify the complete transcriptional profiles of RNA polymerases with high sensitivity and resolution, as well as the critical regulated steps upon which regulatory factors act, we used genome-wide, nuclear run-on (GRO-seq) to map the density and orientation of transcriptionally-engaged RNA polymerases in mouse embryonic stem cells (ESCs) and embryonic fibroblasts (MEFs). In both cell types, progression of a promoter-proximal, paused RNA polymerase II (Pol II) into productive elongation is a rate-limiting step in transcription of ~40% of mRNA-encoding genes. Importantly, quantitative comparisons between cell types reveal that transcription is controlled frequently at paused Pol IIM-bM-^@M-^Ys entry into elongation. Furthermore, M-bM-^@M-^\bivalentM-bM-^@M-^] ESC genes (exhibiting both active and repressive histone modifications) bound by Polycomb Group Complexes PRC 1 and PRC2 show dramatically reduced levels of paused Pol II at promoters relative to an average gene. In contrast, bivalent promoters bound by only PRC2 allow Pol II pausing, but it is confined to extremely 5M-bM-^@M-^Y proximal regions. Altogether, these findings identify rate-limiting targets for transcription regulation during cell differentiation. Mapping engaged RNA polymerase density in two cell types by sequencing run-on transcripts. SUPPLEMENTARY FILES: All fastq files have sanger-fastq format q values. Alignments were generated with eland and the mm9 mouse genome assembly. Reads aligning to regions annotated as similar to rRNA by RepeatMasker were then removed. Wiggle files are in units of RPKM (reads per kilobase per million aligned reads) and are broken up by cell type and chromosome to aid in uploading to UCSC. Each file furthermore contains two tracks - one for each strand. As in the published paper, plus strand RPKM densities are in red with positive values and minus strand RPKM densities are in blue with negative values.
2011-04-01 | E-GEOD-27037 | biostudies-arrayexpress