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accession-icon GSE89715
In vitro Exon Level Expression Profiling of dermal fibroblast
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of of control inhibitor and miR200b inhibitor transfected Human Dermal Adult Fibroblasts (HDAF) compared with Human Dermal Microvascular Endothelial Cells (HMEC).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE7824
Zonal Heterogeneity for Gene Expression in Human Pancreatic Carcinoma Growing in the Pancreas of Nude Mice
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using Affymetrix HG-U133-Plus 2.0 array and Laser Capture Microdissection techniques, we determined whether growth in different zones of the same tumor affected expression of genes by human pancreatic cancer cells. Human L3.6pl pancreatic cancer cells were implanted into the pancreas of nude mice. Gene expression patterns in tumor cells within the central and peripheral zones were compared and statistical differences were determined for 1222 genes. Bioinformatic functional prediction analysis revealed that 346 upregulated genes in the peripheral zone were related to cytoskeleton organization and biogenesis, cell cycle, cell adhesion, cell motility, DNA replication, localization, integrin-mediated signaling pathway, development, morphogenesis, and IkB kinase/NF-kB cascade; and 876 upregulated genes in the central zone were related with regulation of cell proliferation, regulation of transcription, transmembrane receptor protein tyrosine kinase signaling pathway, response to stress, small GTPase mediated signal transduction, hexose metabolism, cell death, response to external stimulus, carbohydrate metabolism, and response to wounding. Results from the microarray were confirmed for reliability by in situ hybridization analysis. Collectively, these data demonstrate zonal heterogeneity for gene expression profiles in tumors and suggest that characterization of zonal gene expression profiles are essential to obtain reproducible data, to predict disease prognosis, and to design specific therapeutics.

Publication Title

Zonal heterogeneity for gene expression in human pancreatic carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61707
Smo and Ets-2 signaling in fibroblasts effects gene expression
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These experiments aim determine the effects of Smo and Ets-2 signaling on fibroblast gene expression.

Publication Title

Genetic ablation of Smoothened in pancreatic fibroblasts increases acinar-ductal metaplasia.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE54660
Enriching glioma stem cells by intracranial implantation and developing clinically relevant model for therapeutic intervention
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is becoming better understood that radiation resistance in glioblastomas (GBMs) may be secondary to a self-renewing subpopulation of cells in the bulk tumor that form neurospheres in culture. This population has been referred to as Glioma stem cells (GSCs). One of the limitations regarding the use of GSCs is that these studies require fresh tumor biopsy samples obtained from patients, and can be extremely difficult to culture, propagate, and perform treatment-response assays. This report describes the generation of a self-renewing population of GSCs derived from commercially available U87 cells using NOD-SCID mice as carrier. The tumors were dissociated to obtain GSCs that demonstrate stem-like properties and high degree of chemo and radiation resistance. Pathological analysis of tumors obtained using GSCs exhibit all the histological hallmarks of human GBMs which is quite uncommon in GBM rodent models and hence could serve as a better model for pre-clinical study. We have shown that MGH87GSCs have an enhanced tumorogenicity than parental U87 and about 500 cells are sufficient to form tumors. To understand the transcriptome and accompanied proteome better, we explored the gene expression profiles of MGH87GSC and U87. We have shown that these GSCs are plastic like stem cells and can be directed towards a particular progeny within neural lineage by providing suitable growth factor. Our objective was to understand the genetic and biochemical mechanisms that control the self-renewal phenotype, asymmetric subdivision, chemo and radiation resistance and the role of the GSC niche in regulating the biological properties of GSC. Through this model we anticipate to devise therapeutic strategies to target this sub population of GSCs within GBMs to eradicate treatment resistance and tumor recurrence.

Publication Title

Cells isolated from residual intracranial tumors after treatment express iPSC genes and possess neural lineage differentiation plasticity.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE74680
Expression data from the spinal cord of wild-type C57Bl/6 mice
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The spinal cords of mice submitted to aortic cross-clamping for 7.5 minutes present with gray matter damage and central cord edema. 60% of mice subsequently experience hindlimb and tail paralysis.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE115864
Notch3-dependent beta-catenin signaling mediates EGFR TKI drug persistence in EGFR mutant NSCLC
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

EGFR tyrosine kinase inhibitors cause dramatic responses in EGFR-mutant lung cancer, but resistance universally develops. The involvement of -catenin in EGFR TKI resistance has been previously reported however the precise mechanism by which -catenin activation contributes to EGFR TKI resistance is not clear. Here, we show that EGFR inhibition results in the activation of -catenin signaling in a Notch3-dependent manner, which facilitates the survival of a subset of cells that we call adaptive persisters. We previously reported that EGFR-TKI treatment rapidly activates Notch3, and here describe the physical association of Notch3 with -catenin, leading to increased stability and activation of -catenin. We demonstrate that the combination of EGFR-TKI and a -catenin inhibitor inhibits the development of these adaptive persisters, decreases tumor burden, improves recurrence free survival, and overall survival in xenograft models. These results supports combined EGFR-TKI and -catenin inhibition in patients with EGFR mutant lung cancer.

Publication Title

Notch3-dependent β-catenin signaling mediates EGFR TKI drug persistence in EGFR mutant NSCLC.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51266
Gene expression changes induced by LKB1 expression in human lung adenocarcinoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

LKB1 is a tumor suppressor lost in approximately 30% of lung adenocarcinomas. It is a serine-threonine kinase involved in regulating metabolism, proliferation, and cell polarity. We have characterized its association with mRNA expression profiles in resected tumors and in cell lines, but little is known about the direct effects of LKB1 on the regulation of these genes.

Publication Title

No associated publication

Sample Metadata Fields

Disease, Disease stage, Cell line

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accession-icon GSE74530
Expression data from tumors and adjacent normal tissue from clinical oral cancer patients
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Oral cancer kills about 1 person every hour each day in the United States and is the 6th most prevalent cancer worldwide. In this study we utilized existing microarray data from a prior oral cancer study to examine the role of chronic pro-inflammatory mediators in oral carcionogenesis by comparing gene expression in oral tumors with adjacent non-tumor oral tissue from the same patient

Publication Title

Deletion of macrophage migration inhibitory factor inhibits murine oral carcinogenesis: Potential role for chronic pro-inflammatory immune mediators.

Sample Metadata Fields

Disease, Subject

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accession-icon GSE60439
Expression data from rats esophagi
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This microarray study was performed to investigate the molecular events in esophageal SCC carcinogenesis in NMBA induced rat esophageal SCC models.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25825
Expression data from MxCre;E2F1-/-2-/-3f/f Cd11B myeloid cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand the underlying cause for the observed apoptosis in E2f1-3 deficient myeloid cells. We compared gene expression profiles of Cd11b+ sorted myeloid cells isolated from bone marrow of control (E2F1-/- ) and experimental (Mxcre;E2F1-/-2-/-3f/f ) mice.

Publication Title

E2f1-3 are critical for myeloid development.

Sample Metadata Fields

Age, Specimen part

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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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