Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

AHR mediated gene expression changes in immature DN thymocytes and thymic emigrants

ABSTRACT: Effect of an immunosupressive dose of TCDD, a ligand for the aryl hydrocarbon receptor, on the gene expression profile of fetal DN thymocytes and thymic emigrants C57BL6 mice were mated and the pregnant dams sacrifice at day 15 of gestation. Fetal thymic lobes were prepared and cultured for 6 days on culture inserts (5-6 lobes/culture insert). Medium, containing either 10 nM TCDD or solvent control was exchanged every 48 hours. At day six (gestation day 21, corresponding to birth), single cell suspensions of the thymocytes were prepared and CD4-CD8- cells isolated by MACS sorting. Purity of the population was checked FACS analysis, to be greater 95%. RNA was purified (TRIZOL), amplified (Ambion Kit) and processed (Affymetrix standard protocol) according to manufacturers instructions. Raw cell files were processed with the bioconductor affy package

ORGANISM(S): Mus musculus

SUBMITTER: Markus Frericks

PROVIDER: E-GEOD-13720 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Transcriptional signatures of immune cells in aryl hydrocarbon receptor (AHR)-proficient and AHR-deficient mice.

Frericks Markus M Temchura Vladimir V VV Majora Marc M Stutte Susanne S Esser Charlotte C

Biological chemistry 20060901 9

The ligand-activated aryl hydrocarbon receptor (AHR) is known to modulate many genes in a highly cell-specific manner, either directly or indirectly via secondary effects. In contrast, little is known about the effects of AHR deficiency on gene expression balance. We compared the transcriptome of CD4 T cells from AHR-/- mice and wild-type mice; 390 genes, many of them immunotypic, were deregulated in AHR-deficient CD4 cells. TCDD-induced transcriptome changes correlated with the AHR expression l ...[more]

PMID: 16972790

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Project description:2,3,7,8-TCDD (TCDD) is a reproductive toxicant and endocrine disruptor in nearly all vertebrates, yet the mechanisms by which TCDD induces these reproductive alterations have not been fully characterized. Fish are among the most sensitive vertebrates to the toxic effects of TCDD, and even subtle physiologic changes induced by TCDD can impair reproduction. Previously, we have shown that chronic, sub-lethal exposure to TCDD decreased reproductive capacity, reduced serum estradiol and vitellogenin concentrations, and altered follicular development. Here we investigate the transcriptional changes in zebrafish ovary as they relate to observed attenuated estradiol concentrations and ovarian development. We used quantitative RT-PCR to assess TCDDâs effects on the expression of several candidate genes important in the regulation of follicular development and steroidogenesis. Additionally, global changes in gene expression in the ovary caused by TCDD exposure were identified using Affymetrix Gene Chip Analysis. Our data suggest that TCDD may inhibit follicle maturation via attenuated gonadotropin responsiveness and/or depressed estradiol biosynthesis. Additionally, genes involved in glucose and lipid metabolism, regulation of transcription, and immune function were dysregulated by at least 2-fold suggesting that TCDD alters various integrated networks of signaling pathways. Approximately 89% of dysregulated transcripts contain putative AHR response elements (AHRE) within 5kb upstream of the predicted transcriptional start site suggesting ovarian toxicity is AHRE driven. Furthermore, approximately 49% of dysregulated transcripts contain putative estrogen response elements (ERE) suggesting that dysregulation of estrogen-responsive genes may also contribute to TCDD-induced attenuated follicular development. Patterns in gene expression were correlated with putative EREs and AHREs, and suggest that impacts on the regulation of transcription may play a large role in TCDDâs ovarian toxicity. Taken together, these data illustrate the complexity of TCDDâs ovarian toxicity. Experiment Overall Design: A total of eight samples were analyzed including three TCDD doses (10, 40, 100 ppb, dietary exposure) and vehicle control samples. cRNA targets were synthesized from pooled total RNA isolated from five ovaries from different individuals in each treatment group. Each individual contributed equally to a given pool. Two technical replicates were run for each treatment group. Several genes of interest arising from this microarray study were validated by Quantitative RT-PCR with individual ovary samples to assess biological variability.

Project description:4C-Seq has proven to be a powerful technique to identify genome-wide interactions with a single locus of interest (or "bait") that can be important for gene regulation. However, analysis of 4C-Seq data is complicated by the many biases inherent to the technique. An important consideration when dealing with 4C-Seq data is the differences in resolution of signal across the genome that result from differences in 3D distance separation from the bait. This leads to the highest signal in the region immediately surrounding the bait and increasingly lower signals in far-cis and trans. Another important aspect of 4C-Seq experiments is the resolution, which is greatly influenced by the choice of restriction enzyme and the frequency at which it can cut the genome. Thus, it is important that a 4C-Seq analysis method is flexible enough to analyze data generated using different enzymes and to identify interactions across the entire genome. Current methods for 4C-Seq analysis only identify interactions in regions near the bait or in regions located in far-cis and trans, but no method comprehensively analyzes 4C signals of different length scales. In addition, some methods also fail in experiments where chromatin fragments are generated using frequent cutter restriction enzymes. Here, we describe 4C-ker, a Hidden-Markov Model based pipeline that identifies regions throughout the genome that interact with the 4C bait locus. In addition, we incorporate methods for the identification of differential interactions in multiple 4C-seq datasets collected from different genotypes or experimental conditions. Adaptive window sizes are used to correct for differences in signal coverage in near-bait regions, far-cis and trans chromosomes. Using several datasets, we demonstrate that 4C-ker outperforms all existing 4C-Seq pipelines in its ability to reproducibly identify interaction domains at all genomic ranges with different resolution enzymes. 4C-Seq experiments from Igh and Cd83 bait in activated B cells and Tcrb (Eb) bait in double negative T cells and immature B cells. RNA-Seq and ATAC-Seq experiments in DN and Immature B cells.

Dataset Information

AHR mediated gene expression changes in immature DN thymocytes and thymic emigrants

Publications

Transcriptional signatures of immune cells in aryl hydrocarbon receptor (AHR)-proficient and AHR-deficient mice.

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