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accession-icon GSE62333
Transcriptomic profiles of skin fibroblasts from patients affected by schizophrenia and controls
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Whole-genome expression studies in peripheral tissues of patients affected by schizophrenia (SCZ) can provide new insights into the molecular basis of the disorder and innovative biomarkers that may be of great usefulness in the clinical practice. Recent evidence suggests that skin fibroblasts could represent a non-neural peripheral model useful to investigate molecular alterations in psychiatric disorders.

Publication Title

Altered gene expression in schizophrenia: findings from transcriptional signatures in fibroblasts and blood.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE53225
Expression data from miR-92 over-expressing R26MER/MER mouse embryonic fibroblast (MEFs)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

miR-92 enhances c-Myc induced apoptosis. In the R26MER/MER mouse embryonic fibroblasts (MEFs), a switchable variant of Myc, MycERT2, was knocked into the genomic region downstream of the constitutive Rosa26 promoter, allowing acute activation of c-Myc by 4-OHT-induced nuclear translocation. This in vitro system nicely recapitulates c-Myc-induced apoptosis, as activated MycERT2 induces strong p53-dependent apoptosis in response to serum starvation. Enforced miR-92 expression in three independent R26MER/MER MEF lines significantly enhanced Myc-induced apoptosis.

Publication Title

A component of the mir-17-92 polycistronic oncomir promotes oncogene-dependent apoptosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE49315
Gene expression profiling of metastatic lung cancer cell lines
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

During malignant disease progression, the extracellular matrix (ECM) of epithelial tumors accumulates inter-molecular cross-links between collagen strands; these cross-links enhance ECM stiffness and trigger tumor cell invasion and dissemination, but the mechanisms that regulate intra-tumoral collagen maturation have not been fully defined. Using a new mouse model of metastatic lung adenocarcinoma driven by mutant K-ras expression and Cdkn1a inactivation, we showed that tumor cell invasion and metastasis are driven by high expression of lysyl hydroxylase 2 (LH2), an enzyme that hydroxylates telomeric lysine (Lys) residues on collagen.

Publication Title

Lysyl hydroxylase 2 induces a collagen cross-link switch in tumor stroma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE83754
Therapeutic vulnerabilities of mesenchymal subpopulations of pancreatic cancer cells undergoing anabolic reprogramming
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Synthetic vulnerabilities of mesenchymal subpopulations in pancreatic cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE83753
Therapeutic vulnerabilities of mesenchymal subpopulations of pancreatic cancer cells undergoing anabolic reprogramming [set2]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Malignant neoplasms adapt and evolve in response to changes in oncogenic signaling, tumor microenvironmental stresses,and therapeutic interventions. Cancer cell plasticity in response to these evolutionary pressures is foundational to tumor progression and maintenance and therapeutic resistance. Here, to elucidate the underlying molecular and cellularmechanisms of cancer cell plasticity, integrated system-level, functional and genetic analyses were conducted in a conditional oncogenic Kras model of pancreatic ductal adenocarcinoma (PDAC), amalignancy displaying remarkable phenotypic diversityand morphological heterogeneity. In this model, stochastic extinction of oncogenic Krassignaling and emergence ofKras-independent escaper populationsis associated withde-differentiation and aggressive biological behavior.Transcriptomic and functional analyses ofKras-independent escapers reveal mesenchymal reprogramming driven by aSmarcb1/Mycnetwork and independence from MAPK signaling.A somatic mosaic model of PDAC which can track evolving subpopulations shows that depletion of Smarcb1 activates theMyc network which results in an anabolic switch to increased protein metabolism and the adaptive activation of ERstress-induced survival pathways.Theelevated protein turnover made mesenchymal sub-populationshighly susceptible topharmacological and genetic perturbation of the cellular proteostatic machinery andthe IRE1-/MKK4 arm of the ER stress response pathway. Specifically, combination regimens impairing the unfolded protein responses (UPR) and the ER stress response can block the emergence of aggressive mesenchymal subpopulations in murine andpatient-derived PDACmodels. These molecular and biological insights inform a potential therapeutic strategy fortargeting aggressive mesenchymal features of PDAC.

Publication Title

Synthetic vulnerabilities of mesenchymal subpopulations in pancreatic cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE83752
Therapeutic vulnerabilities of mesenchymal subpopulations of pancreatic cancer cells undergoing anabolic reprogramming [set 1]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Malignant neoplasms adapt and evolve in response to changes in oncogenic signaling, tumor microenvironmental stresses,and therapeutic interventions. Cancer cell plasticity in response to these evolutionary pressures is foundational to tumor progression and maintenance and therapeutic resistance. Here, to elucidate the underlying molecular and cellularmechanisms of cancer cell plasticity, integrated system-level, functional and genetic analyses were conducted in a conditional oncogenic Kras model of pancreatic ductal adenocarcinoma (PDAC), amalignancy displaying remarkable phenotypic diversityand morphological heterogeneity. In this model, stochastic extinction of oncogenic Krassignaling and emergence ofKras-independent escaper populationsis associated withde-differentiation and aggressive biological behavior.Transcriptomic and functional analyses ofKras-independent escapers reveal mesenchymal reprogramming driven by aSmarcb1/Mycnetwork and independence from MAPK signaling.A somatic mosaic model of PDAC which can track evolving subpopulations shows that depletion of Smarcb1 activates theMyc network which results in an anabolic switch to increased protein metabolism and the adaptive activation of ERstress-induced survival pathways.Theelevated protein turnover made mesenchymal sub-populationshighly susceptible topharmacological and genetic perturbation of the cellular proteostatic machinery andthe IRE1-/MKK4 arm of the ER stress response pathway. Specifically, combination regimens impairing the unfolded protein responses (UPR) and the ER stress response can block the emergence of aggressive mesenchymal subpopulations in murine andpatient-derived PDACmodels. These molecular and biological insights inform a potential therapeutic strategy fortargeting aggressive mesenchymal features of PDAC.

Publication Title

Synthetic vulnerabilities of mesenchymal subpopulations in pancreatic cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE51498
Regulation of HSF1-mediated transcriptional programs by PGC-1alpha
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We examined global gene expression patterns in response to PGC-1 expression in cells derived from liver or muscle.

Publication Title

Direct link between metabolic regulation and the heat-shock response through the transcriptional regulator PGC-1α.

Sample Metadata Fields

Specimen part

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accession-icon GSE81171
Inhibition of adhesion molecule gene expression and cell adhesion by the metabolic regulator PGC-1alpha
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cell adhesion plays an important role in determining cell shape and function in a variety of physiological and pathophysiological conditions. While links between metabolism and cell adhesion were previously suggested, the exact context and molecular details of such a cross-talk remain incompletely understood.

Publication Title

Inhibition of Adhesion Molecule Gene Expression and Cell Adhesion by the Metabolic Regulator PGC-1α.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE87100
Control of secreted protein gene expression and the mammalian secretome by the metabolic regulator PGC-1a
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Secreted proteins serve pivotal roles in the development of multicellular organisms, acting as structural matrix, extracellular enzymes and signal molecules. In this study we demonstrate, unexpectedly, that PGC-1, a critical transcriptional co-activator of metabolic gene expression, functions to down-regulate expression of diverse genes encoding secreted molecules and extracellular matrix (ECM) components to modulate the secretome. We show that both endogenous and exogenous PGC-1 down-regulate expression of numerous genes encoding secreted molecules. Mechanistically, results obtained using mRNA stability measurements as well as intronic RNA expression analysis are consistent with a transcriptional effect of PGC-1 on expression of genes encoding secreted proteins. Interestingly, PGC-1 requires the central heat shock response regulator HSF1 to affect some of its targets, and both factors co-reside on several target genes encoding secreted molecules in cells. Finally, using a mass spectrometric analysis of secreted proteins, we demonstrate that PGC-1 modulates the secretome of mouse embryonic fibroblasts (MEFs).

Publication Title

Control of Secreted Protein Gene Expression and the Mammalian Secretome by the Metabolic Regulator PGC-1α.

Sample Metadata Fields

Specimen part

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accession-icon SRP173933
Regulation of cardiac transcription by thyroid hormone and Med13
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Purpose: The objective of this study was to determine cardiac transcriptional pathways regulated in response to 1.) hypothyroidism and re-establishment of a euthyroid state and 2.) Med13-dependent cardiac transcriptional pathways regulated in response to hypothyroidism and re-establishment of a euthyroid state Overall design: Methods: WT and Med13 cardiac-specific knockout mice (Med13cKO) were put on a normal chow or PTU diet at 8 weeks of age for a duration of 4 weeks. A third group was put on a PTU diet for 4 weeks followed by 3 daily injections of T3.

Publication Title

Regulation of cardiac transcription by thyroid hormone and Med13.

Sample Metadata Fields

No sample metadata fields

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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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Developed by the Childhood Cancer Data Lab

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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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