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accession-icon GSE70051
Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Genes upregulated by low oxygen have been suggested as endogenous markers for tumor hypoxia. Yet, most of the genes investigated have shown inconsistent results, which have led to concerns about their ability to be true hypoxia markers. Previous studies have demonstrated that expression of hypoxia induced genes can be affected by extracellular pH (pH e ). Methods: Five different human cell lines (SiHa, FaDu DD, UTSCC5, UTSCC14 and UTSCC15) were exposed to different oxygen concentrations and pH (7.5 or 6.3), and gene expression analyzed with microarray (Affymetrix - Human Genome U133 Plus 2.0 Array). Results: An analysis of two of the cell lines using SAM identified 461 probesets that were able to separate the four groups Normal oxygen, normal pH , Low oxygen, normal pH , Normal oxygen, low pH and Low oxygen, low pH . From here it was possible to identify a fraction of probesets induced at low oxygen independent of pH in these two cell lines, this fraction included HIG2, NDRG1, PAI1 and RORA. Further verifi cation by qPCR highlighted the necessity of using more cell lines to obtain a robust gene expression profi les. To specifi cally select pH independent hypoxia regulated genes across more cell lines, data for FaDu DD, UTSCC5, UTSCC14 and UTSCC15 were analyzed to identify genes that were induced by hypoxia in each cell line, where the induction was not affected by low pH, and where the gene was not signifi cantly induced by low pH alone. Each cell line had 65 122 probesets meeting these criteria. For genes to be considered as target genes (hypoxia inducible pH independent), genes had to be present in three of four cell lines. Conclusion: The result is a robust hypoxia profile unaffected by pH across cell lines consisting of 27 genes. This study demonstrates a way to identify hypoxia markers by microarray, where other factors in the tumor microenvironment are taken into account.

Publication Title

Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro.

Sample Metadata Fields

Cell line

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accession-icon GSE26495
Phenotype, Function and Gene Expression Profiles of PD-1 high CD8 T cells in Healthy Human Adults
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to terminally differentiated effector (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed.

Publication Title

Phenotype, function, and gene expression profiles of programmed death-1(hi) CD8 T cells in healthy human adults.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13294
Expression data from primary colorectal cancers
  • organism-icon Homo sapiens
  • sample-icon 153 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples were taken from colorectal cancers in surgically resected specimens in 155 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133Plus 2.0 arrays. Our MSI/MSS classifier was applied to these samples.

Publication Title

DNA copy-number alterations underlie gene expression differences between microsatellite stable and unstable colorectal cancers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46602
Expression data from prostate cancer and benign prostate glands
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Prostate cancer is a leading cause of cancer death amongst males. The main clinical dilemma in treating prostate cancer is the high number of indolent cases that confer a significant risk of over diagnosis and over treatment. In this study we have performed a genome expression profiling of tumor tissue specimens from 36 patients with prostate cancer to identify transcripts that delineate aggressive and indolent cancer. We included normal prostate biopsies from 14 patients in our analysis. Unsupervised hierarchical cluster analysis separated the cancer samples into two groups with a significant overrepresentation of tumors from patients with biochemical recurrence in one of the groups (Chi2, p=0.02). The samples were separated by basically three clusters of genes that showed differential expression between the two sample clusters - totaling 371 transcripts. Ingenuity Pathway Analysis revealed that one cluster contained genes associated with invasive properties of the tumor, another genes associated with the cell cycle, and the last cluster genes involved in several biological functions. We successfully validated the transcripts association with recurrence using two publicly available patient datasets totaling 669 patients. Twelve genes were found to be independent predictors of recurrence in multivariate logistical regression analysis.

Publication Title

Expression profiling of prostate cancer tissue delineates genes associated with recurrence after prostatectomy.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE24430
Ischemic Pre- and Post Conditioning has pronounced effects on Gene Expression Profiles in the Rat Liver after Ischemia/Reperfusion
  • organism-icon Rattus norvegicus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Ischemia/reperfusion injuries is a known complication to hepatic surgery. Ischemic pre- (IPC) and postconditioning (IPO) protects the liver against ischemia/reperfusion-injuries. Expression profiling were performed on liver biopsies seeking to identify molecular mediators of the protective properties.

Publication Title

Ischemic pre- and postconditioning has pronounced effects on gene expression profiles in the rat liver after ischemia/reperfusion.

Sample Metadata Fields

Sex

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accession-icon GSE65074
Gene expression classifier in papillary thyroid carcinoma: validation and application of a classifier for prognostication
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Background: With the incidence of papillary thyroid carcinoma rising worldwide, the decision about lobectomy versus total thyroidectomy will become relevant for an increasing number of patients. There exists no reliable biomarker for metastatic potential or tendency of recurrence that could assist in the risk stratification of patients.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Disease stage

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accession-icon GSE83129
RNA profiling in metastatic colorectal cancer patients treated first-line with oxaliplatin
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Oxaliplatin (oxPt) resistance in colorectal cancers (CRC) is a major medical problem, and predictive markers are urgently needed. Recently, miR-625-3p was reported as a promising predictive marker. Here, we have used in vitro models to show that miR-625-3p functionally induces oxPt resistance in CRC cells, and have identified signalling networks affected by miR-625-3p. The p38 MAPK activator MAP2K6 was shown to be a direct target of miR-625-3p, and, accordingly, was downregulated in patients not responding to oxPt therapy. miR-625-3p resistance could be reversed in CRC cells by anti-miR-625-3p treatment and by ectopic expression of a miR-625-3p insensitive MAP2K6 variant. In addition, by reducing p38 MAPK signalling using either siRNA technology, chemical inhibitors to p38 or by ectopic expression of dominant negative MAP2K6 protein we induced resistance to oxPt. Transcriptome, proteome and phosphoproteome profiles revealed inactivation of MAP2K6-p38 signalling as one likely mechanism a possible driving force behind of oxPt resistance. Our study shows that miR-625-3p induces oxPt resistance by abrogating MAP2K6-p38 regulated apoptosis and cell cycle control networks, and corroborates the predictive power of miR-625-3p

Publication Title

miR-625-3p regulates oxaliplatin resistance by targeting MAP2K6-p38 signalling in human colorectal adenocarcinoma cells.

Sample Metadata Fields

Subject

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accession-icon GSE68421
Placebo-controlled, randomized clinical trial with repeated liver biopsies: Long-term resveratrol treatment has no clear therapeutic benefit in non-alcoholic fatty liver disease
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Resveratrol treatment has shown beneficial effects on experimental models of non-alcoholic liver disease (NAFLD). In this pilot-size, clinical trial we teated the therapeutic potential in NAFLD patients.

Publication Title

Placebo-controlled, randomised clinical trial: high-dose resveratrol treatment for non-alcoholic fatty liver disease.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE97429
Gene expression in the liver remnant is significantly affected by the size of partial hepatectomy - an experimental rat study
  • organism-icon Rattus norvegicus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

Background: Extended hepatectomies may result in post-hepatectomy liver failure, a condition with a high mortality. The main purpose of the present study was to investigate and compare the gene expression profiles in rats subjected to increasing size of partial hepatectomy.

Publication Title

Gene Expression in the Liver Remnant Is Significantly Affected by the Size of Partial Hepatectomy: An Experimental Rat Study.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE56737
Expression data from anti-mllerian hormone treated preantral/small antral mouse ovary follicles
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Anti-mllerian hormone (AMH) has an inhibitory effect on ovarian follicle development. However, the mechanism by which AMH regulates folliculogenesis remains to be elucidated. In this study we aimed to investigate the changes in transcriptome of preantral to small antral mice follicles after culturing with AMH and thereby identify candidate genes to be involved.

Publication Title

No associated publication

Sample Metadata Fields

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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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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