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accession-icon GSE5054
Effect of INF-gamma and IL1-beta on thyroid cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Normal primary thyroid cells were incubated with vehicle, 100 IU/ml IFN-gamma, 50 IU/ml IL1-beta, or a combination of both IFN-gamma and IL1-beta for 24 or 72 hours. The experiment was repeated 5 times using thyroid cells from 5 different patients. RNA expression was analyzed using Affymetrix HG_U133A arrays for 3 of the thyroids, and HG_U133A_2.0 (small version of HG_U133A) arrays for 2 of the thyroids.

Publication Title

Microarray analysis of cytokine activation of apoptosis pathways in the thyroid.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10927
Human adrenocortical carcinomas (33), adenomas (22), and normal adrenal cortex (10), on Affymetrix HG_U133_plus_2 arrays
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human samples of 33 adrenocortical carcinomas, 22 adrenocortical adenomas, and 10 normal adrenal cortex samples, each from a different patient, had mRNA assays performed using Affymetrix HG_U133_plus_2 arrays, with 54675 probe-sets. We note that the same array data is in GEO series GSE33371, where we assayed the cancer samples for Beta-catenin staining or mutation, and make new comparisons based on those assays.

Publication Title

Molecular classification and prognostication of adrenocortical tumors by transcriptome profiling.

Sample Metadata Fields

Sex, Age

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accession-icon GSE27155
Human thyroid adenomas, carcinomas, and normals
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human samples of various thyroid carcinomas, adenomas, and normals, each from a different patient, had mRNA assays performed using Affymetrix HG_U133A arrays, with 22283 probe-sets. The 99 samples consisted of 4 normals, 10 follicular adenomas, 13 follicular carcinomas, 7 oncocytic adenomas, 8 oncocytic carcinomas, 51 papillary carcinomas (each typed as having classical, follicular or tall cell morphology), 4 anaplastic carcinomas, and 2 medullary carcinomas. Interesting additional information on common mutations are provided including RAS mutation, BRAF mutation, RET/PTC rearrangements, and PAX8/PPARG translocations. Details of those assays are provided in our linked publications, as well as additional details on the specific mutations in a few special cases. No survival data is provided. Information for 93 of the 99 samples was previously made available on the web. The anaplastic and medullary carcinoma data were not previously shared. A supplementary Excel spreadsheet holding the same processed data as the series matrix file is provided and is more compact. The raw (.CEL) files are also provided.

Publication Title

Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutation-specific gene expression profiles discovered by DNA microarray analysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE135427
Identification of the KDM4B regulated transcriptome in the ER positive breast cancer cell line MCF-7
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

To elucidate the KDM4B regulated transcriptomes in ER-positive breast cancer cells we assessed global gene expression changes in KDM4B-depleted MCF-7 cells by microarray analysis using the Illumina Human HT12 Version 4 BeadChip array. Differentially expressed genes were compared with KDM3A and FOXA1 regulated transcriptomes. We identified 229 genes co-regulated by all three enzymes and that co-regulated genes were involved in cell cycle processes. We identified that 53% and 48% of KDM4B-regulated genes were also regulated by KDM3A and FOXA1, with co-regulatory gene signatures being involved with estrogen response signatures and cell proliferation. We also identified that depletion of KDM3A and KDM4B together inhibits ER-target gene expression and ER-positive breast cancer cell growth more than depletion of either gene on its own.

Publication Title

The Histone Demethylase Enzymes KDM3A and KDM4B Co-Operatively Regulate Chromatin Transactions of the Estrogen Receptor in Breast Cancer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE25288
Extensive effects of in vitro oocyte maturation on rhesus monkey cumulus cell transcriptome
  • organism-icon Macaca mulatta
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

The elaboration of a quality oocyte is integrally linked to the correct developmental progression of cumulus cell phenotype. In humans and non-human primates, oocyte quality is diminished with in vitro maturation. To determine the changes in gene expression in rhesus monkey cumulus cells (CC) that occur during the final day prior to oocyte maturation and how these changes differ between in vitro and in vivo maturation (IVM and VVM), we completed a detailed comparison of transcriptomes using the Affymetrix gene array. We observe a large number of genes differing in expression when comparing IVM-CC and VVM-CC directly, but a much larger number of differences comparing the transitions from the pre-oocyte maturation to post- IVM and post-VVM state. We observe a truncation or delay in the normal pattern of gene regulation, but also remarkable compensatory changes in gene expression during IVM. Among the genes affected in cumulus cells by IVM are those that contribute to productive cell-cell interactions between cumulus cell and oocyte and between cumulus cells. Numerous genes involved in lipid metabolism are incorrectly regulated during IVM, and the synthesis of sex hormones appears not suppressed during IVM. We identify a panel of 24 marker genes, the expression of which should provide the foundation for understanding how IVM can be improved, for monitoring IVM conditions, and for diagnosing oocyte quality.

Publication Title

Extensive effects of in vitro oocyte maturation on rhesus monkey cumulus cell transcriptome.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1195
Transcription profiling of rat to investigate effects of hyperglycaemi and genetic background on gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Effects of hyperglycaemia and genetic background differences on renal gene expression

Publication Title

Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP184695
A novel CRISPR-engineered prostate cancer cell line defines the AR-V transcriptome and identifies PARP inhibitor sensitivities.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Development of a novel CRISPR-derived cell line which is a derivative of CWR22Rv1 cells, called CWR22Rv1-AR-EK, that has lost expression of FL-AR, but retains all endogenous AR-Vs. AR-Vs act unhindered by loss of FL-AR to drive cell growth and expression of androgenic genes. Global transcriptomics demonstrate that AR-Vs drive expression of a cohort of DNA damage response genes and depletion of AR-Vs sensitizes cells to ionizing radiation. Overall design: Transcriptomic profile (mRNA) of AR splice variants in CWR22Rv1 AR-EK cells was generated by deep sequencing, in triplicate, using Illumina HiSeq 2500.

Publication Title

A novel CRISPR-engineered prostate cancer cell line defines the AR-V transcriptome and identifies PARP inhibitor sensitivities.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE17060
Expression in adipose tissue and liver from a spontaneous rat model of Type 2 diabetes
  • organism-icon Rattus norvegicus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MicroRNA-125a is over-expressed in insulin target tissues in a spontaneous rat model of Type 2 Diabetes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE17059
Gene expression in adipose tissue and liver from a spontaneous rat model of Type 2 diabetes
  • organism-icon Rattus norvegicus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

Type 2 diabetes (T2D) is characterized by hyperglycaemia and defects in insulin secretion and action at target tissues. Using the Illumina RatRef-12 v1.0 array, gene expression was assessed in two insulin-target tissues (liver and adipose tissue) from seven-month-old spontaneously diabetic (Goto-Kakizaki [GK]) and non-diabetic (Brown-Norway [BN]) rats. This study was performed in parallel with miRNA expression profiling of the same rats.

Publication Title

MicroRNA-125a is over-expressed in insulin target tissues in a spontaneous rat model of Type 2 Diabetes.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon E-MEXP-893
Transcription profiling by array of hepatocytes from mice fed a high fat diet
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430B Array (moe430b), Affymetrix Mouse Expression 430A Array (moe430a)

Description

Effect of high fat diet feeding on gene expression

Publication Title

Subtle metabolic and liver gene transcriptional changes underlie diet-induced fatty liver susceptibility in insulin-resistant mice.

Sample Metadata Fields

Sex, Age, 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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