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accession-icon GSE29962
Nutrient-dependent growth of NIH3T3 and NIH3T3 K-ras cell lines.
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon

Description

Expression profiling of normal NIH3T3 and transformed NIH3T3 K-ras cell lines grown for 72 hours in optimal glucose availability (25 mM glucose) or low glucose availability (1 mM). Low glucose induces apoptosis in transformed cells as compared to normal ones.

Publication Title

Oncogenic K-Ras decouples glucose and glutamine metabolism to support cancer cell growth.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE43381
Expression profiling across mouse epithelial tissues
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon

Description

To characterize genes, pathways, and transcriptional regulators enriched in the mouse cornea, we compared the expression profiles of whole mouse cornea, bladder, esophagus, lung, proximal small intestine, skin, stomach, and trachea.

Publication Title

The Ets transcription factor EHF as a regulator of cornea epithelial cell identity.

Sample Metadata Fields

Specimen part

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accession-icon GSE13387
Comparative analysis of Drd1+ Medium Spiny Neurons, Drd2+ Medium Spiny Neurons, Motor Neurons, and Purkinje Neurons
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon

Description

The cellular heterogeneity of the brain confounds efforts to elucidate the biological properties of distinct neuronal populations.

Publication Title

A translational profiling approach for the molecular characterization of CNS cell types.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13385
Comparative analysis of Drd1+ Medium Spiny Neurons, Drd2+ Medium Spiny Neurons and whole brain
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

The cellular heterogeneity of the brain confounds efforts to elucidate the biological properties of distinct neuronal populations.

Publication Title

A translational profiling approach for the molecular characterization of CNS cell types.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13384
Comparative analysis of Drd1+ Medium Spiny Neurons and Drd2+ Medium Spiny Neurons
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

The cellular heterogeneity of the brain confounds efforts to elucidate the biological properties of distinct neuronal populations.

Publication Title

A translational profiling approach for the molecular characterization of CNS cell types.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE70925
Effect of rapamycin and KU-0063794 on CTL gene expression
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

Comparison of transcriptional profile of CD8 cytotoxic T lymphocytes terated with the mTORC1 inhibitor rapamycin or the mTOR inhibitor KU-0063794 and comparison with proteomic analysis.

Publication Title

The cytotoxic T cell proteome and its shaping by the kinase mTOR.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE110932
The lateral cerebellum is preferentially sensitive to high sonic hedgehog signaling and medulloblastoma formation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

The main cell of origin of the Sonic hedgehog (SHH) subgroup of medulloblastoma (MB) is granule cell precursors (GCPs), a SHH-dependent transient amplifying population in the developing cerebellum. SHH-MBs can be further subdivided based on molecular and clinical parameters, as well as location since SHH-MBs occur preferentially in the lateral cerebellum (hemispheres). Our analysis of adult patient data suggests that tumors with Smoothened (SMO) mutations form more specifically in the hemispheres than those with Patched 1 (PTCH1) mutations. Using sporadic mouse models of SHH-MB with the two mutations commonly seen in adult MB, constitutive activation of Smo (SmoM2) or loss-of-Ptch1, we found that regardless of timing of induction or type of mutation, tumors developed primarily in the hemispheres with SmoM2-mutants indeed showing a stronger specificity. We further uncovered that GCPs in the hemispheres are more susceptible to high level SHH signaling compared to GCPs in the medial cerebellum (vermis), as more SmoM2 or Ptch1-mutant hemisphere cells remain undifferentiated and show increased tumorigenicity when transplanted. Finally, we identified location-specific GCP gene expression profiles, and found that deletion of the genes most highly expressed in the hemispheres (Nr2f2) or vermis (Engrailed1) showed opposing effects on GCP differentiation. Our studies thus provide new insights into intrinsic differences within GCPs that impact on SHH-MB progression.

Publication Title

Lateral cerebellum is preferentially sensitive to high sonic hedgehog signaling and medulloblastoma formation.

Sample Metadata Fields

Specimen part

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accession-icon GSE51927
Expression analysis of murine primary and derived orthotopic SEOC tumors
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon

Description

We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53, Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. We have adapted these GEM models to orthotopic allografts that uniformly develop tumors with short latency in immunocompetent recipients and are ideally suited for routine preclinical studies. To monitor passaged tumors at the molecular level, we analyzed transcriptional profiles of a set of primary SEOC and matching derived passaged tumors. We have merged this dataset with previously published ( doi: 10.1158/0008-5472.CAN-11-3834; PMID 22617326) dataset of murine primary ovarian tumors from our GEM models (GSE46169) and merged and compared them to expression profiles of human dataset published previously (doi: 10.1038/nature10166).

Publication Title

Pathway-specific engineered mouse allograft models functionally recapitulate human serous epithelial ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE16073
Expression Data from Pten Null Fibroblasts
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

The tumor stroma is believed to contribute to some of the most malignant characteristics of epithelial tumors. However, signaling between stromal and tumor cells is complex and remains poorly understood. Here we show that genetic inactivation of Pten in stromal fibroblasts of mouse mammary glands accelerated the initiation, progression and malignant transformation of mammary epithelial tumors.

Publication Title

Pten in stromal fibroblasts suppresses mammary epithelial tumours.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE32529
Mouse ischemic tolerance genomic analysis of the brain and blood.
  • organism-icon Mus musculus
  • sample-icon 218 Downloadable Samples
  • Technology Badge Icon

Description

Ischemic tolerance can be induced by numerous preconditioning stimuli, including various Toll-like receptor (TLR) ligands. We have shown previously that systemic administration of the TLR4 ligand, lipopolysaccharide (LPS) or the TLR9 ligand, unmethylated CpG ODNs prior to transient brain ischemia in mice confers substantial protection against ischemic damage. To elucidate the molecular mechanisms of preconditioning, we compared brain and blood genomic profiles in response to preconditioning with these TLR ligands and to preconditioning via exposure to brief ischemia.

Publication Title

Multiple preconditioning paradigms converge on interferon regulatory factor-dependent signaling to promote tolerance to ischemic brain injury.

Sample Metadata Fields

Specimen part, Treatment

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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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