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accession-icon GSE55497
FoxP1 marks medium spiny neurons from precursors to maturity and is required for their differentiation
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

To understand the developing striatum, key genes during development were identified using microarray analsyis tha could be considered as marker of medium spiny neurons. The ages studied is at peak striatal neurogenesis.

Publication Title

FoxP1 marks medium spiny neurons from precursors to maturity and is required for their differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE84096
Dynamic response of EGF stimulation in lung cancer cells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE84095
Dynamic response of EGF stimulation in lung cancer cells [EGF]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.

Publication Title

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE84094
Dynamic response of EGF stimulation in lung cancer cells [controls]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.

Publication Title

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE23603
Gene expression in ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.

Sample Metadata Fields

Disease stage, Cell line

View Samples
accession-icon GSE23553
Gene expression changes with induction of in-vitro platinum-resistance in ovarian cancer cell lines.
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We treated 8 human ovarian cancer cell lines with cisplatin in treatment/recovery cycles to induce in-vitro resistance to the drug. Microarrays measured gene expression at baseline and after each dose schedule (after recovery).

Publication Title

BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.

Sample Metadata Fields

Cell line

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accession-icon GSE23554
Ovarian Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background. Genome-wide expression changes are associated with development of chemoresistance in patients with ovarian cancer (OVCA); the BCL2 antagonist of cell death (BAD) apoptosis pathway may play a role in clinical outcome.

Publication Title

BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.

Sample Metadata Fields

Disease stage

View Samples
accession-icon SRP066118
Generation of Patient-Matched Malignant and Normal Primary Cell Cultures from Clear Cell Renal Cell Carcinoma Patients
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Transcriptome profiling of de novo-derived ccRCC cell cultures and their matching parental tumours. VHL-mutant and VHL wild-type cultures were established by isolating CA9+ and CA9- cells from tumor samples using FACS. Overall design: RNASeq expression profiling of 18 renal cell carcinoma samples, including 6 patient tumours, 6 VHL mutant and 6 VHL WT derivative cell cultures

Publication Title

Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12606
HLA ligand profiles of primary renal cell carcinoma maintained in metastases.sue
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In recent years, several approaches have been taken in the peptide-based immunotherapy of metastatic renal cell carcinoma (RCC), although little is known about HLA presentation on metastases compared to primary tumor and normal tissue of RCC. In this study we compared primary tumor, normal tissue and metastases with the aim of identifying similarities and differences between these tissues. We performed this comparison for two RCC patients on the level of the HLA ligandome using mass spectrometry and for three patients on the level of the transcriptome using oligonucleotide microarrays. The quantitative results show that primary tumor is more similar to metastasis than to normal tissue, both on the level of HLA ligand presentation and mRNA. We were able to characterize a total of 142 peptides in the qualitative analysis of HLA-presented peptides. Six of them were significantly overpresented on metastasis, among them a peptide derived from CD151; fourteen were overpresented on both primary tumor and metastasis compared to normal tissue, among them an HLA ligand derived from tumor protein p53. Thus, we could demonstrate that peptide-based immunotherapy might affect tumor as well as metastasis of RCC, but not healthy kidney tissue. Furthermore we were able to identify several peptides derived from tumor-associated antigens that are suitable for vaccination of metastatic RCC.

Publication Title

HLA ligand profiles of primary renal cell carcinoma maintained in metastases.

Sample Metadata Fields

Sex

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accession-icon GSE19664
Expression difference between osteoarthritic chondrocytes and mesenchymal stem cells during chondrogenic differentiation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The recruitment of mesenchymal stem cells in order to reconstruct damaged cartilage of osteoarthritis joints is a challenging tissue engineering task. Vision towards this goal is blurred by a lack of knowledge about the underlying differences between chondrocytes and MSC during the chondrogenic cultivation process. The aim of this study was to shed light on the differences between chondrocytes and MSC occurring during chondral differentiation through tissue engineering.

Publication Title

Expression pattern differences between osteoarthritic chondrocytes and mesenchymal stem cells during chondrogenic differentiation.

Sample Metadata Fields

Specimen part

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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