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GSE43970
Mus musculus
86 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Dynamic regulatory network controlling TH17 cell differentiation.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 61 Downloadable Samples
Illumina Genome Analyzer
Description
Despite their enormous importance, the molecular circuits that control the differentiation of Th17 cells remain largely unknown. Recent studies have reconstructed regulatory networks in mammalian cells, but have focused on short-term responses and relied on perturbation approaches that cannot be applied to primary T cells. Here, we develop a systematic strategy – combining transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based tools for performing gene perturbations in primary T cells – to derive and experimentally validate a temporal model of the dynamic regulatory network that controls Th17 differentiation. The network is arranged into two self-reinforcing and mutually antagonistic modules that either suppress or promote Th17 differentiation. The two modules contain 12 novel regulators with no previous implication in Th17 differentiation, which may be essential to maintain the appropriate balance of Th17 and other CD4+ T cell subsets. Overall, our study identifies and validates 39 regulatory factors that are embedded within a comprehensive temporal network and identifies novel drug targets and organizational principles for the differentiation of Th17 cells. Overall design: RNA-seq of knockdown of 12 genes in Th17 cell differentiation
Publication Title
Dynamic regulatory network controlling TH17 cell differentiation.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Mus musculus
- 58 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Despite their enormous importance, the molecular circuits that control the differentiation of Th17 cells remain largely unknown. Recent studies have reconstructed regulatory networks in mammalian cells, but have focused on short-term responses and relied on perturbation approaches that cannot be applied to primary T cells. Here, we develop a systematic strategy combining transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based tools for performing gene perturbations in primary T cells to derive and experimentally validate a temporal model of the dynamic regulatory network that controls Th17 differentiation. The network is arranged into two self-reinforcing and mutually antagonistic modules that either suppress or promote Th17 differentiation. The two modules contain 12 novel regulators with no previous implication in Th17 differentiation, which may be essential to maintain the appropriate balance of Th17 and other CD4+ T cell subsets. Overall, our study identifies and validates 39 regulatory factors that are embedded within a comprehensive temporal network and identifies novel drug targets and organizational principles for the differentiation of Th17 cells.
Publication Title
Dynamic regulatory network controlling TH17 cell differentiation.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 20 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Despite their enormous importance, the molecular circuits that control the differentiation of Th17 cells remain largely unknown. Recent studies have reconstructed regulatory networks in mammalian cells, but have focused on short-term responses and relied on perturbation approaches that cannot be applied to primary T cells. Here, we develop a systematic strategy combining transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based tools for performing gene perturbations in primary T cells to derive and experimentally validate a temporal model of the dynamic regulatory network that controls Th17 differentiation. The network is arranged into two self-reinforcing and mutually antagonistic modules that either suppress or promote Th17 differentiation. The two modules contain 12 novel regulators with no previous implication in Th17 differentiation, which may be essential to maintain the appropriate balance of Th17 and other CD4+ T cell subsets. Overall, our study identifies and validates 39 regulatory factors that are embedded within a comprehensive temporal network and identifies novel drug targets and organizational principles for the differentiation of Th17 cells.
Publication Title
Dynamic regulatory network controlling TH17 cell differentiation.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 10 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Preferential epigenetic programming of estrogen response after in utero xenoestrogen (bisphenol-A) exposure.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 10 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Bisphenol-A (BPA) is an environmentally ubiquitous estrogen-like endocrine-disrupting compound. Exposure toBPAin utero hasbeen linked to female reproductive disorders, including endometrial hyperplasia and breast cancer. Estrogens are an etiological factor in many of these conditions. We sought to determine whether in utero exposure to BPA altered the global CpG methylation pattern of the uterine genome, subsequent gene expression, and estrogen response. Pregnant mice were exposed to an environmentally relevant dose of BPA or DMSO control. Uterine DNA and RNA were examined by using methylated DNA immunoprecipitation methylation microarray, expression microarray, and quantitative PCR. In utero BPA exposure altered the global CpG methylation profile of the uterine genome and subsequent gene expression. The effect on gene expression was not apparent until sexual maturation, which suggested that estrogen response was the primary alteration. Indeed, prenatal BPA exposure preferentially altered adult estrogen-responsive gene expression. Changes in estrogen response were accompanied by altered methylation that preferentially affected estrogen receptor-a (ERa)binding genes. The majority of genes that demonstrated both altered expression and ERa binding had decreased methylation. BPA selectively altered the normal developmental programming of estrogen-responsive genes via modification of the genes that bind ERa. Gene environment interactions driven by early life xenoestrogen exposure likely contributes to increased risk of estrogen related disease in adults.Jorgensen, E. M.,Alderman,M.H., III,Taylor, H. S. Preferential epigenetic programmingof estrogen response after in utero xenoestrogen (bisphenol-A) exposure.
Publication Title
Preferential epigenetic programming of estrogen response after in utero xenoestrogen (bisphenol-A) exposure.
Sample Metadata Fields
Age, Specimen part
View Samples- Zea mays
- 19 Downloadable Samples
- Affymetrix Maize Genome Array (maize)
Description
Aluminum toxicity is one of the major limiting factors for many crops worldwide. The primary symptom of Al toxicity syndrome is the inhibition of root growth, leading to poor water and nutrient absorption. The causes of this inhibition are still elusive, with several biochemical pathways being affected and with a significant variation between species. Most of the work done so far to investigate the genes responsible for Al tolerance used hydroponic culture. Here we evaluated plant responses using soil as substrate, which is a condition closer to the field reality.
Publication Title
Transcriptional profile of maize roots under acid soil growth.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 49 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression patterns were assessed in normal human bronchial epithelial (NHBE) cells exposed to cigarette smoke from a reference cigarette (2R4F, University of Kentucky) and a typical American brand of "light" cigarettes ("Lights") in order to develop a better understanding of the genomic impact of tobacco exposure, which can ultimately define biomarkers that discriminate tobacco-related effects and outcomes in a clinical setting. NHBE cells were treated with whole cigarette smoke for 15 minutes and alterations to the transcriptome assessed at 2, 4, 8 and 24 hours post-exposure using high-density oligonucleotide microarrays.
Publication Title
Cigarette smoke induces endoplasmic reticulum stress and the unfolded protein response in normal and malignant human lung cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression patterns were assessed in normal human bronchial epithelial (NHBE) cells exposed to cigarette smoke (CS) from a typical "full flavor" American brand of cigarettes in order to develop a better understanding of the genomic impact of tobacco exposure, which can ultimately define biomarkers that discriminate tobacco-related effects and outcomes in a clinical setting. NHBE cells were treated with CS for 15 minutes and alterations to the transcriptome assessed at 1,2,4 and 24 hours post-CS-exposure using high-density oligonucleotide microarrays.
Publication Title
Cigarette smoke induces endoplasmic reticulum stress and the unfolded protein response in normal and malignant human lung cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 5 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Compares activin deficient granulosa cells (Inhba flox/-; Inhbb-/-; Amhr2cre/+) to wild type granulosa cells
Publication Title
Intraovarian activins are required for female fertility.
Sample Metadata Fields
No sample metadata fields
View Samples