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accession-icon GSE34179
Effect of Th-POK deficiency on global gene expression in liver Va14i NKT cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We sought to identify genes regulated by the transcription factor Th-POK (Zbtb7b) in liver Va14i NKT cells, by RNA microarray analysis of global gene expression in Va14i NKT cells from mice homozygous for the Th-POK-inactivating hd point mutation as compared with the same cell population isolated from heterozygous or wild-type age-matched mice.

Publication Title

The transcription factor Th-POK negatively regulates Th17 differentiation in Vα14i NKT cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33550
Reverse engineering of TLX oncogenic transcriptional networks identifies RUNX1 as tumor suppressor in T-ALL
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The TLX1 and TLX3 transcription factor oncogenes play an important role in the pathogenesis of T-cell acute lymphoblastic leukemia (T-ALL)1,2. Here we used reverse engineering of global transcriptional networks to decipher the oncogenic regulatory circuit controlled by TLX1 and TLX3. This Systems Biology analysis defined TLX1 and TLX3 as master regulators of an oncogenic transcriptional circuit governing T-ALL. Notably, network structure analysis of this hierarchical network identified RUNX1 as an important mediator of TLX1 and TLX3 induced T-ALL, and predicted a tumor suppressor role for RUNX1 in T-cell transformation. Consistent with these results, we identified recurrent somatic loss of function mutations in RUNX1 in human T-ALL. Overall, these results place TLX1 and TLX3 atop of an oncogenic transcriptional network controlling leukemia development, demonstrate power of network analysis to identify key elements in the regulatory circuits governing human cancer and identify RUNX1 as a tumor suppressor gene in T-ALL.

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE33549
Expression data from mouse T-cell lymphomas
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transgenic expression of key transcritpion factors inducing T-cell leukemias in mice.

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Specimen part

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accession-icon GSE33540
Expression data obtained from HPBALL cell line
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The experiment was designed in order to knock down the expression of TLX3 gene in T-ALL cell line

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Cell line

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accession-icon GSE33539
Expression data obtained from ALLSIL cell line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The experiment was designed in order to knock down the expression of TLX1 gene in T-ALL cell line

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Cell line

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accession-icon GSE18991
Overexpression of Hoxd4 transcription factor alters transcriptional profiles in mouse chondrocytes at E18.5
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Homeobox genes of the Hox class are required for proper patterning of skeletal elements and play a role in cartilage differentiation. In transgenic mice with overexpression of Hoxd4 during cartilage development, we observed severe defects, namely physical instability of cartilage, accumulation of immature chondrocytes, and decreased maturation to hypertrophy. To define the molecular basis underlying these defects, we performed gene expression profiling using the Affymetrix microarray platform.

Publication Title

Microarray Analysis of Defective Cartilage in Hoxc8- and Hoxd4-Transgenic Mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE18992
Overexpression of Hoxc8 transcription factor alters transcriptional profiles in mouse chondrocytes at E18.5
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Homeobox genes of the Hox class are required for proper patterning of skeletal elements and play a role in cartilage differentiation. In transgenic mice with overexpression of Hoxc8 during cartilage development, we observed severe defects, namely physical instability of cartilage, accumulation of immature chondrocytes, and decreased maturation to hypertrophy. To define the molecular basis underlying these defects, we performed gene expression profiling using the Affymetrix microarray platform.

Publication Title

Microarray Analysis of Defective Cartilage in Hoxc8- and Hoxd4-Transgenic Mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE9675
Maternal Diabetes alters Transcriptional Programs in the Developing Embryo
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Diabetic embryopathy can affect any developing organ system, although cardiovascular malformations, neural tube defects and caudal dysgenesis syndrome are the most prominent congenital malformations. We hypothesize that the metabolic imbalance occurring in diabetic pregnancy de-regulates tissue specific gene expression programs in the developing embryo. In order to identify genes whose expression is affected by maternal diabetes, we analyzed gene expression profiles of diabetes-exposed mouse embryos by using Affymetrix microarrays. We identified 129 genes with altered expression levels; 21 genes had increased and 108 genes had decreased expression levels in diabetes-exposed embryos relative to controls. A substantial fraction of these genes (35) are essential for normal embryonic development as shown by functional studies in mouse models. The largest fraction of diabetes-affected genes was in transcription factor and DNA-binding/chromatin remodeling functional categories (19%), which directly affect transcription. These findings suggest that transcriptional regulation in the developing embryos is perturbed by maternal diabetes and that transcriptional regulation plays a major role in the responses of embryos to intrauterine exposure to diabetic conditions. Interestingly, we found the expression of hypoxia-inducible factor 1 (Hif1) deregulated in the embryos exposed to the conditions of maternal diabetes. Since hypoxic stress is associated with the complications of diabetic pregnancy, we performed a post-hoc analysis of our microarray data with a specific focus on known HIF1 target genes. Of 39 genes detected in our microarrays, the expression changes of 22 genes (20 were increased and two genes were decreased in diabetes-exposed embryos) were statistically significant. These results indicate that HIF1-regulated pathways are affected in diabetes-exposed embryos. These results strongly suggest that de-regulation of hypoxia/HIF1 activated pathways could be the one of the key molecular events associated with the exposure to the teratogenic intrauterine environment of a diabetic mother.

Publication Title

Maternal diabetes alters transcriptional programs in the developing embryo.

Sample Metadata Fields

Specimen part

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accession-icon GSE41095
Maternal diabetes alters transcriptional programs in the developing embryo.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Exposure to maternal diabetes during pregnancy alters transcriptional profiles in the developing embryo. The enrichment, within the set of de-regulated genes, of those encoding transcriptional regulatory molecules provides support for the hypothesis that maternal diabetes affects specific developmental programs.

Publication Title

Maternal diabetes alters transcriptional programs in the developing embryo.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE86404
The Transcriptome of HIV-1 Infected Intestinal CD4+ T cells Exposed to Enteric Bacteria
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The gastrointestinal tract is a major site of early HIV-1 replication and death of CD4+ T cells. As HIV-1 replicates in the gut, the protective epithelial barrier gets disrupted, leading to the entry of bacteria into the underlying tissue and the bloodstream, leading to inflammation and clinical complications even in HIV-1-infected patients taking antiviral drugs. Counteracting these pathogenic processes may require in-depth understanding of the molecular pathways that HIV-1 and microbes utilize to infect, functionally alter and/or kill CD4+ T cells. However, to date, the nature of the genes altered by relevant HIV-1 strains and bacteria in intestinal CD4+ T cells remains unclear.

Publication Title

The transcriptome of HIV-1 infected intestinal CD4+ T cells exposed to enteric bacteria.

Sample Metadata Fields

Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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