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accession-icon GSE72353
A lincRNA connected to cell mortality and epigenetically-silenced in most common human cancers
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

- Gene expression changes linked to two step immortalization of human mammary epithelial cells (HMEC).

Publication Title

A lincRNA connected to cell mortality and epigenetically-silenced in most common human cancers.

Sample Metadata Fields

Specimen part

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accession-icon GSE16058
Distinctions between the stasis and telomere attrition senescence barriers in cultured human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Molecular distinctions between the stasis and telomere attrition senescence barriers in cultured human mammary epithelial cells

Publication Title

Molecular distinctions between stasis and telomere attrition senescence barriers shown by long-term culture of normal human mammary epithelial cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE54809
RNA profiling from ovarian and prostate FFPE specimens
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE54808
RNA profiling from prostate FFPE specimens
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To study feasibility of gene expression profiling from FFPE tissues using NuGen amplified mRNA hybridized on Affymetrix GeneChip Human Gene 1.0 ST arrays, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions.

Publication Title

Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE54807
RNA profiling from ovarian FFPE specimens
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To study feasibility of gene expression profiling from FFPE tissues using NuGen amplified mRNA hybridized on Affymetrix GeneChip Human Gene 1.0 ST arrays, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions.

Publication Title

Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.

Sample Metadata Fields

Disease

View Samples
accession-icon GSE37485
Expression data of pre-stasis cultured HMEC
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

We have generated a large collection of normal human mammary epithelial cell strains from women aged 16 to 91 years, derived from primary tissues, to enable functional and molecular interrogation of aging. We demonstrate in finite-lifespan cultured and uncultured epithelial cells that aging is associated with reduction of myoepithelial cells and with increases in luminal cells expressing keratin 14 and integrin 6, traits that are expressed exclusively in myoepithelial cells in women under 30. We find that changes to the luminal lineage result from age-dependent expansion of multipotent progenitors that bear defects resulting in incompletely differentiated luminal cells. These findings were verified in vivo in normal breast tissues. Myoepithelial cells have been suggested to act as tumor suppressors, and progenitor cells are implicated as the etiological roots of mammary carcinomas. Thus with aging there is a shift in the balance of luminal/myoepithelial lineages, and changes in the functional spectrum of multipotent progenitors, which presages increased potential for malignant transformation.

Publication Title

Accumulation of multipotent progenitors with a basal differentiation bias during aging of human mammary epithelia.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE97284
Gene expression profiling of laser capture microdissected prostate specimens
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We performed gene expression profiling of laser capture microdissected normal non-neoplastic prostate (cystoprostatectomies) epithelial tissue and compared it to non-transformed and neoplastic low and high grade prostate epithelial tissue from radical prostatectomies, each with its immediately surrounding stroma.

Publication Title

Stromal and epithelial transcriptional map of initiation progression and metastatic potential of human prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25140
Prostate specific Pten deletion, Pten-Smad4 deletion, and Pten-p53 deletion
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to detail the global gene expression and identified differentially expressed gene list between wild-type anterior prostates and Ptenpc-/- anterior prostates, Ptenpc-/-Smad4pc-/- and Ptenpc-/- anterior prostates, Ptenpc-/-p53pc-/- and Ptenpc-/- anterior prostates at 15 weeks of age.

Publication Title

SMAD4-dependent barrier constrains prostate cancer growth and metastatic progression.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE18614
Differential Regulation of Mitogen-Activated Protein Kinases by Acetaminophen in TAMH cells
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Acetaminophen (APAP), a widely used analgesic and antipyretic that is considered to be relatively safe at recommended doses, is the leading cause of drug-induced liver failure in the United States. 3-Hydroxyacetanilide (AMAP), a regioisomer of acetaminophen is useful as a comparative tool for studying APAP-induced toxicity since it is non-toxic relative to APAP. TGF-alpha transgenic mouse hepatocytes were treated with both isomers to investigate mitogen-activated protein kinase cascades in order to differentiate their toxicological outcomes. Mitogen-activated protein kinase (MAPK) cascade expression and activation were measured using microarray and Bioplex technologies, respectively. APAP treatment led to c-Jun N-terminal kinase (JNK) activation, whereas AMAP treatment led to the activation of extracellular-signal-regulated protein kinase (ERK). The microarray data suggested APAP treatment may upregulate gene expression at multiple levels of the JNK cascade including a JNK-related scaffold protein. Expression data was related to phosphoprotein levels using the Bioplex system. APAP treatment led to a significant activation of JNK compared to its regioisomer. In contrast, microarray analysis of AMAP showed a slight upregulation of ERK gene activity. Furthermore, Bioplex data showed AMAP treatment led to significant ERK phosphorylation compared to APAP. Cell viability assays confirmed that APAP-induced activation of JNK was related to higher rates of cell death, whereas activation of ERK by AMAP may be cytoprotective.

Publication Title

Differential regulation of mitogen-activated protein kinase pathways by acetaminophen and its nonhepatotoxic regioisomer 3'-hydroxyacetanilide in TAMH cells.

Sample Metadata Fields

Cell line

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accession-icon GSE27976
Calvarial osteoblast transcriptome analysis identifies genetic targets and extracellular matrix-mediated focal adhesion as potential biomarkers for single-suture craniosynostosis
  • organism-icon Homo sapiens
  • sample-icon 248 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Craniosynostosis is a disease defined by premature fusion of one or more cranial sutures. The mechanistic pathology of isolated single-suture craniosynostosis is complex and while a number of genetic biomarkers and environmental predispositions have been identified, in many cases the causes remain controversial and inconclusive at best. After controlling for variables contributing to potential bias, FGF7, SFRP4, and VCAM1 emerged as potential genetic biomarkers for single-suture craniosynostosis due to their significantly large changes in gene expression compared to the control population. Furthermore, pathway analysis implicated focal adhesion and extracellular matrix (ECM)-receptor interaction as differentially regulated gene networks when comparing all cases of single-suture synostosis and controls. Lastly, overall gene expression was found to be highly conserved between coronal and metopic cases, as evidenced by the fact that WNT2 and IGFBP2 were the only differentially regulated genes identified in a direct comparison. These results not only confirm the roles of previously reported craniosynostosis-related targets but also introduce novel genetic biomarkers and pathways that may play critical roles in its pathogenesis.

Publication Title

Differential expression of extracellular matrix-mediated pathways in single-suture craniosynostosis.

Sample Metadata Fields

Sex, 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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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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