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accession-icon GSE29233
Genes regulated by TGF-beta in bovine articular chondrocytes
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Bovine articular chondrocytes were grown in micromass culture and were either untreated or treated with 5 ng TGF-b1/ml for 8 hours to identify genes regulated by TGF-b.

Publication Title

Altered responsiveness to TGF-β results in reduced Papss2 expression and alterations in the biomechanical properties of mouse articular cartilage.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE19703
Ectopic Myc expression
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ectopic Myc Expression in P493-6 B-cells at three levels:

Publication Title

Induction of ectopic Myc target gene JAG2 augments hypoxic growth and tumorigenesis in a human B-cell model.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE11783
Gene expression profile of bladder tissue of patients with ulcerative interstitial cystitis
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Interstitial cystitis (IC), a chronic bladder disease with an increasing incidence, is diagnosed using subjective symptoms in combination with cystoscopic and histological evidence. The ultimate goal is the development of a diagnostic assay for IC on a molecular level.

Publication Title

Gene expression profile of bladder tissue of patients with ulcerative interstitial cystitis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE21140
Genomics of medulloblastoma identifies four distinct molecular variants
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Recent genomic approaches have suggested the existence of multiple distinct subtypes of medulloblastoma. We studied a large cohort of medulloblastomas to determine how many subgroups of the disease exist, how they differ, and the extent of overlap between subgroups. We determined gene expression profiles and DNA copy number aberrations for 103 primary medulloblastomas. Bioinformatic tools were used for class discovery of medulloblastoma subgroups based on the most informative genes in the dataset. Immunohistochemistry for subgroup-specific signature genes was used to determine subgroup affiliation for 294 non-overlapping medulloblastomas on two independent tissue microarrays (TMAs). Multiple unsupervised analyses of transcriptional profiles identified four distinct, non-overlapping molecular variants: WNT, SHH, Group C, and Group D. Supervised analysis of these four subgroups revealed significant subgroup-specific demographics, histology, metastatic status, and DNA copy number aberrations. Immunohistochemistry for DKK1 (WNT), SFRP1 (SHH), NPR3 (Group C), and KCNA1 (Group D) could reliably and uniquely classify formalin fixed medulloblastomas in ~98% of cases. Group C patients (NPR3 +ve tumors) exhibited a significantly diminished progression free and overall survival irrespective of their metastatic status. Our integrative genomics approach to a large cohort of medulloblastomas has identified four disparate subgroups with distinct demographics, clinical presentation, transcriptional profiles, genetic abnormalities, and clinical outcome. Medulloblastomas can be reliably assigned to subgroups through immunohistochemistry, thereby making medulloblastoma sub-classification widely available. Future research on medulloblastoma and the development of clinical trials should take into consideration these four distinct types of medulloblastoma.

Publication Title

Medulloblastoma comprises four distinct molecular variants.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP008241
Analysis of Caenorhabditis elegans intestinal gene expression and alternative polyadenylation using fluorescence-activated nuclei sorting (FANS) and 3' end deep sequencing (3'end-seq)
  • organism-icon Caenorhabditis elegans
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Caenorhabditis elegans is a major eukaryotic experimental system employed to unravel a broad range of cellular and biological processes. Despite the many advantages of C. elegans, biochemical approaches to study tissue-specific gene expression in postembryonic stages are challenging. Here we report a novel experimental approach that enables the efficient determination of tissue-enriched transcriptomes by rapidly releasing nuclei from major tissues of postembryonic animals followed by fluorescence-activated nuclei sorting (FANS). Furthermore, we developed and applied a deep sequencing method, named 3'end-seq, which is designed to examine gene expression and identify 3' ends of transcripts using a small quantity of input RNA. In agreement with intestinal specific gene expression, promoter elements of highly expressed genes are enriched for GATA elements and their functional properties are associated with processes that are characteristic for the intestine. In addition, we systematically mapped pre-mRNA cleavage and polyadenylation sites, or polyA sites, including >3,000 sites that have previously not been identified. The analysis of nuclear mRNA revealed widespread alternative polyA site use in intestinally expressed genes. We describe several novel approaches that will be of significance to the analysis of tissue specific gene expression using small quantity RNA samples from C. elegans and beyond. Overall design: 3'end-seq of transcriptomes for input and sorted nuclei

Publication Title

Analysis of C. elegans intestinal gene expression and polyadenylation by fluorescence-activated nuclei sorting and 3'-end-seq.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE27554
EARLY DETECTION OF LUNG CANCER BY MOLECULAR MARKERS IN ENDOBRONCHIAL LINING FLUID
  • organism-icon Homo sapiens
  • sample-icon 30 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

Early detection of lung cancer by molecular markers in endobronchial epithelial-lining fluid.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE27489
SCREENING STUDY TO IDENTIFY DIAGNOSTIC MARKERS FOR LUNG CANCER IN ENDOBRONCHIAL LINING FLUID
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated whether biomarker analysis in endobronchial epithelial lining fluid (ELF) collected by bronchoscopic microsampling may be useful for a definitive preoperative diagnosis. Therefore we compared ELF samples close to nodule and from the contralateral site from patients with malignant or benign diagnosis.

Publication Title

Early detection of lung cancer by molecular markers in endobronchial epithelial-lining fluid.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon SRP185844
Next Generation Sequencing of isolated EGFR+ and HLA-G+ first trimester human trophoblasts
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The aim of this study was to identify differentially expressed signatures of non-invasive (EGFR+) and invasive (HLA-G+) human trophoblast subtypes. These populations were isolated from single first trimester placentas from 10-12 weeks of gestation. Overall design: We performed RNAseq to analyze the global expression profile of two different trophoblastic subtypes.

Publication Title

Metabolism of cholesterol and progesterone is differentially regulated in primary trophoblastic subtypes and might be disturbed in recurrent miscarriages.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE16988
Expression profile of cell lines overexpressing miR-520g
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Primitive neuro-ectodermal tumours (PNET) of the supratentorial region are rare, highly malignant embryonal brain tumours affecting young children. We recently highlighted the importance of a microRNA cluster housing miR-520g. We utilized the Illumina HumanWG-6 v3 R2 and HumanHT-12 v3 R2 Expression BeadChip platforms to profile the effects of miR-520g on gene expression.

Publication Title

Frequent amplification of a chr19q13.41 microRNA polycistron in aggressive primitive neuroectodermal brain tumors.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE77475
Human neural stem cells transduced with oncogenic elements associated with aggressive medulloblastoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Human neural stem and progenitor cells transformed with c-MYC, dominant-negative p53, constitutively active AKT and hTERT formed tumors in mice that recapitulated Group 3 medulloblastoma in terms of pathology and expression profile

Publication Title

DiSCoVERing Innovative Therapies for Rare Tumors: Combining Genetically Accurate Disease Models with In Silico Analysis to Identify Novel Therapeutic Targets.

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)

fund-icon Fund the CCDL

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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