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accession-icon GSE57933
Discovery and validation of a novel expression signature for recurrence in high-risk bladder cancer post-cystectomy
  • organism-icon Homo sapiens
  • sample-icon 199 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Selecting muscle-invasive bladder cancer patients for adjuvant therapy is currently based on clinical variables with limited power. We hypothesized that genomic-based signatures can outperform clinical models to identify patients at higher risk. Method:Transcriptome-wide expression profiles were generated using 1.4 million feature-arrays on archival tumors from 225 patients who underwent radical cystectomy and had muscle-invasive and/or node-positive bladder cancer. A 15-feature GC was developed on the discovery set with area under curve (AUC) of 0.77 in the validation set.

Publication Title

Discovery and validation of novel expression signature for postcystectomy recurrence in high-risk bladder cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE46691
Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 545 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis.

Publication Title

Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE62116
Validation of a genomic classifier that predicts metastasis following radical prostatectomy in at risk patient population
  • organism-icon Homo sapiens
  • sample-icon 235 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. Method:A case-cohort design was used to sample 1,010 patients after radical prostatectomy at high risk for recurrence who were treated from 2000 to 2006. Patients had preoperative prostate specific antigen greater than 20 ng/ml, Gleason 8 or greater, pT3b or a Mayo Clinic nomogram score of 10 or greater. Patients with metastasis at diagnosis or any prior treatment for prostate cancer were excluded from analysis. A 20% random sampling created a subcohort that included all patients with metastasis. We generated 22-marker genomic classifier scores for 235 patients with available genomic data. ROC and decision curves, competing risk and weighted regression models were used to assess genomic classifier performance.

Publication Title

Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population.

Sample Metadata Fields

Age

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accession-icon GSE2406
WTv.AOXantisense
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Leaf transcriptome comparison of untransformed Col-0 Arabidopsis plants with plants transformed to be anti-sense for AtAOX1a (alternative oxidase). Two bio-replicates were sampled, for a total of four microarray chipsCol-0 and anti-sense leaf tissue from a first planting (samples GSM45208 and GSM45231, respectively), and from a second planting made one week later (samples GSM45209 and GSM45278, respectively). See sample descriptions for growth conditions and microarray procedure.

Publication Title

Characterization of transformed Arabidopsis with altered alternative oxidase levels and analysis of effects on reactive oxygen species in tissue.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10422
Traf2 and Traf3 B cell knockout mice and Baff tg mice - gene expression in lymph node B cells
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Tumor necrosis factor-associated factors 2 and 3 (TRAF2 and TRAF3) were shown to function in a co-operative and non-redundant manner to suppress nuclear factor-B2 (NF-B2) activation, gene expression and survival in mature B cells. In the absence of this suppressive activity, B cells developed independently of the obligatory B cell survival factor, BAFF (B cell activating factor of the tumor necrosis factor family). This constitutive, lineage-specific suppression of B cell survival by TRAF2 and TRAF3 determines the requirement for BAFF to sustain B cell development in vivo. We wished to investigate the effect on gene expression in B cells which lacked the negative regulators TRAF2 and TRAF3, and hence had hyperactive NF-kB2 signalling. As Baff-tg mice display a similar phenotype, and have a genetic modification which acts in the same pathway, yet further up, than TRAF2 and TRAF3, we wished to compare and contrast Baff-tg B cells with TRAF2 and TRAF3 deficient B cells. This analysis should identify genes that are important in B cell survival.

Publication Title

TRAF2 and TRAF3 signal adapters act cooperatively to control the maturation and survival signals delivered to B cells by the BAFF receptor.

Sample Metadata Fields

Sex, Age

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accession-icon GSE21444
Expression profiling of murine DCIS and invasive ductal breast carcinoma
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Murine healthy tissue samples, DCIS and invasive mammary tumors were analyzed in order to identify marker genes which show enhanced expresssion in DCIS and invasive ductal carcinomas.

Publication Title

Identification of early molecular markers for breast cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE21422
Expression profiling of human DCIS and invasive ductal breast carcinoma
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human healthy tissue samples, DCIS and invasive mammary tumors were analyzed in order to identify marker genes which show enhanced expresssion in DCIS and invasive ductal carcinomas.

Publication Title

Identification of early molecular markers for breast cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP043632
Myc mild overexpression in the heart in a mosaic fashion induces matabolic changes and triggers hipertrophic protection pathways without a pathological phenotype
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Recently, it was described that mammalian cells are able to eliminate those with relative lower Myc levels in the epiblast through cell competition. We have described that cardiomyocytes during heart development are also able to complete eliminating cells with lower Myc levels. We have also shown that adult cardiomyocytes respond in the same way over long periods of time when cell competition is induced by overexpressing Myc in a mosaic fashion. We therefore have developed an RNASeq assay to further understand the mechanism of elimination of WT cells and the effect of mild Myc overexpression in cardiomyocytes. Overall design: Myc overexpression in a mosaic fashion in adult cardiomyocytes, 2 hearts were analyzed and two wild type littermates were used as controls

Publication Title

Cell competition promotes phenotypically silent cardiomyocyte replacement in the mammalian heart.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43396
Comparison of gene expression in NOD versus B6 splenic B cell subsets.
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

NOD mice are an inbred strain that display enhanced MZ B cell differentiation from an early age. Interestingly, several lines of evidence implicate MZ B cells in this strain as important contributors to the T cell mediated beta cell destruction associated with the development of type 1 diabetes (T1D). In order to develop a better understanding of the underlying causes for augmented MZ B cell production in NOD mice, we obtained the transcriptional profiles of FO and MZ subsets and TR precursors from NOD mice and compared them to those of the B6 strain.

Publication Title

Intrinsic molecular factors cause aberrant expansion of the splenic marginal zone B cell population in nonobese diabetic mice.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE71668
Expression data from TCF7L1 Over-expression during primitive streak-like differentiation in H9 human embryonic stem cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarray analysis to profile the function of TCF7L1 in human embryonic stem cells.

Publication Title

TCF7L1 suppresses primitive streak gene expression to support human embryonic stem cell pluripotency.

Sample Metadata Fields

Cell line

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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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