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accession-icon GSE36825
Clonal competition with alternating dominance in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Clonal competition with alternating dominance in multiple myeloma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE36824
Clonal competition with alternating dominance in multiple myeloma [GEP]
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Copy number and expression profiling of multiple myeloma patients at multiple stages of their individual clinical course

Publication Title

Clonal competition with alternating dominance in multiple myeloma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE29713
Molecular Mechanisms of Bortezomib Resistant Adenocarcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE29712
Molecular Mechanisms of Bortezomib Resistant Adenocarcinoma cells [GEP data]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Copy number and Gene expression profiling of HT-29 wild-type and bortezomib resistant cell lines

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE26688
Molecular Mapping of Keratinocyte Differentiation by Functional Gene Expression Profiling
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Our goal was to establish a robust and reliable platform for the mapping of gene expression changes occurring during the process of keratinocyte

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE12949
GBM Xenograft response to 1 hour and 8 hour Cilengitide exposure
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Goal of this experiment is the identify differentially expressed genes in GBM zenografts that have been exposed to Cilengitide for 1 or 8 hours. A control with no cilengitide is also included. None of the tumors recieved radiation.

Publication Title

Radiation sensitization of glioblastoma by cilengitide has unanticipated schedule-dependency.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE47752
Transcriptional profiling of dentate granule cells in 4 rat epilepsy models
  • organism-icon Rattus norvegicus
  • sample-icon 172 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Global expression profiling of epileptogenesis has been confounded by variability across laboratories, epilepsy models, tissue sampled and experimental platforms, with the result that very few genes demonstrate consistent expression changes. The present study minimizes these confounds by combining Affymetrix microarray datasets from seven laboratories, using three status epilepticus (SE) models of epilepsy in rats (pilocarpine, kainate, self-sustained SE or SSSE) and the rat kindling model. Total RNA was harvested from laser-captured dentate granule cells from 6 rats at three times during the early-to-mid latent phase that precedes epilepsy symptoms in the SE models (1, 3 and 10 days after SE), or 24 hr after the first stage 2, stage 4 and stage 5 seizure in the kindling model. Each epilepsy model was studied in two independent laboratories except SSSE. The initial goals of this study were to a) identify model-independent transcriptional changes in dentate granule cells that could point to novel intervention targets for epileptogenesis, b) characterize the basal transcriptional profile of dentate granule cells, and c) identify genes that have highly variable expression.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE4412
freij-affy-human-91666
  • organism-icon Homo sapiens
  • sample-icon 169 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Diffuse infiltrating gliomas are the most common primary brain malignancy found in adults, and Glioblastoma multiforme, the highest grade glioma, is associated with a median survival of 7 months. Transcriptional profiling has been applied to 85 gliomas from 74 patients to elucidate glioma biology, prognosticate survival, and define tumor sub-classes. These studies reveal that transcriptional profiling of gliomas is more accurate at predicting survival than traditional pathologic grading, and that gliomas characteristically express coordinately regulated genes of one of four molecular signatures: neurogenesis, synaptic transmission, mitotic, or extra-cellular matrix. Elucidation of these survival associated molecular signatures will aid in tumor prognostication and define targets for future directed therapy.

Publication Title

Gene expression profiling of gliomas strongly predicts survival.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage

View Samples
accession-icon GSE5281
Alzheimer's disease and the normal aged brain (steph-affy-human-433773)
  • organism-icon Homo sapiens
  • sample-icon 157 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Information about the genes that are preferentially expressed during the course of Alzheimers disease (AD) could improve our understanding of the molecular mechanisms involved in the pathogenesis of this common cause of cognitive impairment in older persons, provide new opportunities in the diagnosis, early detection, and tracking of this disorder, and provide novel targets for the discovery of interventions to treat and prevent this disorder. Information about the genes that are preferentially expressed in relationship to normal neurological aging could provide new information about the molecular mechanisms that are involved in normal age-related cognitive decline and a host of age-related neurological disorders, and they could provide novel targets for the discovery of interventions to mitigate some of these deleterious effects.

Publication Title

Gene expression profiles in anatomically and functionally distinct regions of the normal aged human brain.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Race

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accession-icon GSE4031
Ventral hippocampal lesion, tetrodotoxin disruption of the ventral hippocampus, and chronic administration of neuroleptics (colan-affy-rat-89421)
  • organism-icon Rattus norvegicus
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

In pevious research we have shown that the disruption of the normal development of the ventral hippocampus in rodents leads to cellular abnormalities in the frontal cortex and behavioral deficits related to schizophenia (Neurotox Res. 2002, 4(5-6):469-475). We propose the use of gene expression analysis to investigate the molecular underpinnings of these processes which may shed light on the molecular processes relevant to human schizophrenia. In addition, we seek to characterize expression differences induced by chronic administration of antipsychotic medications, which may give insight into the molecular processes involved in ameliorating psychotic symptoms.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
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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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