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accession-icon GSE13143
Expression data from 3T3-MEFs derived from wild-type and SMRT RID mutant mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

SMRT (silencing mediator of retinoid and thyroid hormone receptors) is recruited by numerous transcription factors to mediate lineage and signal dependent transcriptional repression. We generated a knock-in mutation in the receptor interaction domain (RID) of SMRT (SMRTmRID) that solely disrupts its interaction with nuclear hormone receptors. SMRTmRID-derived 3T3-MEFs display a dramatically increased adipogenic capacity and accelerated differentiation rate. We measured global gene expression in wild-type versus SMRTmRID-derived 3T3-MEFs in the undifferentiated state to examine which pathways were altered. Our results demonstrate that SMRT-RID dependent repression is a key determinant of the adipogenic set point.

Publication Title

SMRT repression of nuclear receptors controls the adipogenic set point and metabolic homeostasis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29044
Expression data from breast tumors in different age-specific cohorts and for different sequentional disease stages
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Compared transccriptome of breast cancer in young women to those arising in two mature groups to characterize the underlying biological mechanisms of the breast cancer in Middle Eastern young women.

Publication Title

Age-specific gene expression signatures for breast tumors and cross-species conserved potential cancer progression markers in young women.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon GSE39816
Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

GEP class prediction in association with CI-FISH (42 candidate genes) and patient MRD stratification

Publication Title

Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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