refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1957 results
Sort by

Filters

Technology

Platform

accession-icon GSE141209
Analysis of Retinoblastoma Transcriptome
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In this data, we examined Transcriptome detection and expression in 8 samples of Retinoblastoma. We found a central core shared by all samples .

Publication Title

Discovery of a transcriptomic core of genes shared in 8 primary retinoblastoma with a novel detection score analysis.

Sample Metadata Fields

Disease

View Samples
accession-icon GSE108988
Gene expression profile of human primary pericytes and colorectal cancer HCT-116 cells from co-cultures or monocultures
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Cancer growth and metastasis are regulated to a great extent by stromal cells within the tumor microenvironment. Tumor blood vessel components (endothelial cells and mural cells) are also ubiquitous within tumors, and yet, the impact of these tumor-resident cells is scarcely understood beyond oxygen and nutrients supply. Our hypothesis is that the interaction between stromal cells and tumor cells is bidirectional: tumor cells can modulate their peripheral environment that in turn becomes more favorable to tumor growth. To test this hypothesis, we analyzed the transcriptome of human pericytes and colon cancer cells after being cocultured for 48h in comparison with the same cells in monoculture.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE13662
Zalypsis: A novel marine-derived compound with potent antimyeloma activity
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple Myeloma (MM) remains incurable, and new drugs with novel mechanisms of action are still needed. In this report, we have analyzed the action of Zalypsis, an alkaloid analogous to certain natural marine compounds, in MM. Zalypsis turned out to be the most potent antimyeloma agent we have tested so far, with IC50s from picomolar to low nanomolar ranges. It also showed remarkable ex vivo potency in plasma cells from patients and in MM cells in vivo xenografted in mice. Besides the induction of apoptosis and cell cycle arrest, Zalypsis provoked DNA double-strand-breaks (DSB), evidenced by an increase in phospho-Histone-H2AX and phospho-CHK2, followed by a striking overexpression of p53 in p53-wild type cell lines. In addition, in those cell lines in which p53 was mutated, Zalypsis also provoked DSB and induced cell death, although higher concentrations were required. Immunohistochemical studies in tumours also demonstrated Histone-H2AX phosphorylation and p53 overexpression. Gene expression profile studies were concordant with these results, revealing an important deregulation of genes involved in DNA-damage response. The potent in vitro and in vivo antimyeloma activity of Zalypsis uncovers the high sensitivity of tumour plasma cells to DSB, and strongly supports the use of this compound in MM patients.

Publication Title

Zalypsis: a novel marine-derived compound with potent antimyeloma activity that reveals high sensitivity of malignant plasma cells to DNA double-strand breaks.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE46236
Expression data from LPS-treated HBVP (human brain vascular pericytes)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Identification of TLR4 as one of the most abundant RNA species in pericytes with respect to MSC, and corroboration of TLR4 expression on the cell surface, led us to obtain a comprehensive overview of the expression program of lipopolysaccharide (LPS) stimulated pericytes. Microarray analyisis demonstrated the significant upregulation of 76 annotated genes including transcripts for adhesion molecules, inflammation mediators, pro-angiogenic factors, transcription factors and anti-apoptotic proteins.

Publication Title

Lipopolysaccharide activates Toll-like receptor 4 (TLR4)-mediated NF-κB signaling pathway and proinflammatory response in human pericytes.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE46235
Comparative expression data from HBVP (human brain vascular pericytes) and human MSC (mesenchymal stem cells)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Pericytes and mesenchymal stem cells (MSC) are ontogenically related, and in fact no phenotypic differences were observed by flow cytometry using a panel of surface antigen markers. Global gene expression profiles of human pericytes and MSC revealed that 43 genes were expressed more than 10 fold in pericytes as compared to MSC.

Publication Title

Lipopolysaccharide activates Toll-like receptor 4 (TLR4)-mediated NF-κB signaling pathway and proinflammatory response in human pericytes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE52904
Impact of Gene Dosage on Gene Expression, Biological Processes and Survival in Cervical Cancer: a Genome-Wide Follow-Up Study
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Impact of gene dosage on gene expression, biological processes and survival in cervical cancer: a genome-wide follow-up study.

Sample Metadata Fields

Age

View Samples
accession-icon GSE52903
Gene Dosage, Mainly 3q Amplification, Deregulates a Quarter of Genes in Cervical Cancer: It Induces Glycolysis, Anaphase-dependent Proteasome Proteolysis, and Low Survival
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The contribution of copy number (CN)-altered genes in cervical carcinogenesis is unknown owing to a lack of correlation with gene expression. We mapped CN-altered genes in 31 cervical cancers (CCs), and investigated the expression of 21,000 genes in 55 CCs using microarrays. Biological processes associated with genes deregulated by gene dosage and the relationship between gene dosage and patient survival were investigated. CN-altered genome (CN-AG) percentages varied widely among tumors from 0% to 32.2% (mean = 8.1 8.9). Tumors were classified as low (mean = 0.5 0.6, n = 11), medium (mean = 5.4 2.4, n = 10), or high (mean = 19.2 6.6, n = 10) CN. The highest %CN-AG was found in 3q, which contributed an average of 55% of all CN alterations. Genome-wide, only 5.3% of CN-altered genes were deregulated by gene dosage; by contrast, the rate in fully duplicated 3q was twice as high. Amplification of 3q explained 23.6% of deregulated genes in whole tumors (r2 = 0.236, p = 0.006; analysis of variance), including those in 3q and other chromosomes. A total of 862 genes were deregulated exclusively in high-CN tumors, but only 22.9% were CN altered. This result suggests that the remaining genes are not deregulated directly by gene dosage but by mechanisms induced in trans by CN-altered genes. Anaphase-promoting complex/cyclosome (APC/C)-dependent proteasome proteolysis, glycolysis, and apoptosis were upregulated, whereas cell adhesion and angiogenesis were downregulated exclusively in high-CN tumors. The high %CN-AG and upregulated gene expression profiles of APC/C-proteasome-dependent proteolysis and glycolysis were associated with poor patient survival, although only the first 2 correlations were statistically significant (p < 0.05, log-rank test). The data suggest that inhibitors of APC/C-dependent proteasome proteolysis and glycolysis may be useful treatments in these patients.

Publication Title

Impact of gene dosage on gene expression, biological processes and survival in cervical cancer: a genome-wide follow-up study.

Sample Metadata Fields

Age

View Samples
accession-icon GSE54721
DNA methylation changes at CpG and non-CpG sites are associated with development and clinical behavior in neuroblastoma.
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

DNA methylation fingerprint of neuroblastoma reveals new biological and clinical insights.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE29570
The mtDNA Amerindian Haplogroup B2 enhances the risk for Cervical Cancer of HPV: de-regulation of mitochondrial genes may be involved.
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Although Human papillomavirus infection is the main causal factor for cervical cancer (CC), there is data suggesting genetic factors could modulate the risk and progression of CC. Sibling studies suggest that maternally inherited factors could be involved in CC. To assess whether mitochondrial DNA (mtDNA) polymorphisms are associated to cervical cancer, HPV infection and HPV types, a case-control study was performed in the Mexican mestizo population. The polymorphism of mtDNA D-Loop was investigated in 187 cervical cancer patients and 270 healthy controls. D-loop was amplified from a blood DNA sample and analyzed by sequencing. HPV was detected and typed in cervical scrapes from both groups. mtDNA polymorphisms were compared in the whole samples and stratified by HPV types. The expression of 29 mitochondrial genes was analyzed in a subset of 45 tumor biopsies using the expression microarray ST1.0. The Amerindian haplogroup B2 increased the risk for CC (OR=1.6, 95% CI: 1.05-2.58) and showed an additive effect of 36% over the risk conferred by the HPV (OR=153, 95% CI: 65.4-357.5). The frequency of HPV 16, 18, 31 and 45 in cancer samples was similar in all haplogroups but one (D1). It showed a very low frequency of HPV16, any HPV18 and high frequency of HPVs 31, 45 and other types. Two mtDNA genes (MT-TD, MTTK) could be involved in the increased risk conferred by the haplogroup B2, since they were up-regulated exclusively in B2 tumors (p<0.05, t-test). These findings will contribute to clarify the importance of genetic factors in CC.

Publication Title

The Amerindian mtDNA haplogroup B2 enhances the risk of HPV for cervical cancer: de-regulation of mitochondrial genes may be involved.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE28844
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic response
  • organism-icon Homo sapiens
  • sample-icon 60 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

Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact