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accession-icon GSE42532
Expression data from leptin administration to Lepob/Lepob mice and Lepmkyo/Lepmkyo rats
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Leptin-responsive genes in the pathway of a leptin signal from the hypothalamus to the liver has not been detected.

Publication Title

Generation of leptin-deficient Lepmkyo/Lepmkyo rats and identification of leptin-responsive genes in the liver.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE31613
Transcriptional architecture of the primate neocortex
  • organism-icon Macaca mulatta
  • sample-icon 250 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

Genome-wide transcriptional profiling allows characterization of the molecular underpinnings of neocortical organization, including cortical areal specialization, laminar cell type diversity and functional anatomy. Microarray analysis of individual cortical layers across sensorimotor and association cortices in rhesus macaque demonstrated robust and specific laminar and areal molecular signatures driven by differential expression of genes associated with specialized neuronal function. Gene expression corresponding with laminar architecture was generally similar across cortical areas, although genes with robust areal patterning were often highly laminar as well, and these patterns were more highly conserved between macaque and human as compared to mouse. Layer 4 of primate primary visual cortex displayed a distinct molecular signature compared to other cortical regions, a specialization not observed in mouse. Overall, transcriptome-based relationships were strongest between proximal layers in a cortical area, and between neighboring areas along the rostrocaudal axis, reflecting in vivo cortical spatial topography and therefore a developmental imprint.

Publication Title

Transcriptional architecture of the primate neocortex.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE46699
Smoking and Obesity Related Molecular Alterations in Clear Cell Renal Cell Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Both cigarette smoking and obesity have been implicated in increased risk of clear cell renal cell carcinoma (ccRCC); however, there are limited data regarding the molecular mechanisms that underlie these associations. We used a multi-stage design to identify and validate specific molecular targets that are associated with smoking or obesity-related ccRCC.

Publication Title

ANKS1B is a smoking-related molecular alteration in clear cell renal cell carcinoma.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE4854
Cross-platform study
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Gene expression microarrays have made a profound impact in biomedical research. The diversity of platforms and analytical methods has made comparison of data from multiple platforms very challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and in house platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by QRT-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent pre-processing, commercial arrays were more consistent than in-house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.

Publication Title

A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4830
Affymetrix experiments for cross-platform study including site 2 data
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Gene expression microarrays have made a profound impact in biomedical research. The diversity of platforms and analytical methods has made comparison of data from multiple platforms very challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and in-house platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by QRT-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent pre-processing, commercial arrays were more consistent than in-house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.

Publication Title

A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP073099
Tet-mediated DNA hydroxymethylation regulates retinal neurogenesis in zebrafish via cell-extrinsic signaling pathways
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500, NextSeq500

Description

Using zebrafish tet2-/-;tet3-/- mutants, we identify functions for Tet enzymes and 5-hydroxymethylcytosine (5hmC) in regulating gene expression and cell type-specific differentiation during retinal development. Overall design: RNAseq from tet2-/-;tet3-/- mutant and sibling embryonic eye tissues dissected at 72hpf and 36hpf.

Publication Title

Tet-mediated DNA hydroxymethylation regulates retinal neurogenesis by modulating cell-extrinsic signaling pathways.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE85258
Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unknown if gene expression profiles from primary RCC tumors differ from patient-matched metastatic tumors. Thus, we sought to identify differentially expressed genes between patient-matched primary and metastatic RCC tumors in order to understand the molecular mechanisms underlying the development of RCC metastases.

Publication Title

Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP030401
Gene expression, single nucleotide variant and fusion transcript discovery in archival material from breast tumors
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Advantages of RNA-Seq over array based platforms are quantitative gene expression and discovery of expressed single nucleotide variants (eSNVs) and fusion transcripts from a single platform, but the sensitivity for each of these characteristics is unknown. We measured gene expression in a set of manually degraded RNAs, nine pairs of matched fresh-frozen, and FFPE RNA isolated from breast tumor with the hybridization based, NanoString nCounter, (226 gene panel) and with whole transcriptome RNA-Seq using RiboZeroGold ScriptSeq V2 library preparation kits. We performed correlation analyses of gene expression between samples and across platforms. We then specifically assessed whole transcriptome expression of lincRNA and discovery of eSNVs and fusion transcripts in the FFPE RNA-Seq data. For gene expression in the manually degraded samples, we observed Pearson correlation of >0.94 and >0.80 with NanoString and ScriptSeq protocols respectively. Gene expression data for matched fresh-frozen and FFPE samples yielded mean Pearson correlations of 0.874 and 0.783 for NanoString (226 genes) and ScriptSeq whole transcriptome protocols respectively. Specifically for lincRNAs, we observed superb Pearson correlation (0.988) between matched fresh-frozen and FFPE pairs. FFPE samples across NanoString and RNA-Seq platforms gave a mean Pearson correlation of 0.838. In FFPE libraries, we detected 53.4% of high confidence SNVs and 24% of high confidence fusion transcripts. Sensitivity of fusion transcript detection was not overcome by an increase in depth of sequencing up to 3-fold (increase from ~56 to ~159 million reads). Both NanoString and ScriptSeq RNA-Seq technologies yield reliable gene expression data for degraded and FFPE material. The high degree of correlation between NanoString and RNA-Seq platforms suggests discovery based whole transciptome studies from FFPE material will produce reliable expression data. The RiboZeroGold ScriptSeq protocol performed particularly well for lincRNA expression from FFPE libraries but detection of eSNV and fusion transcripts was less sensitive. Overall design: We performed RNASeq on RNA from nine matched pairs of fresh-frozen and FFPE tissues from breast cancer patients. The goal was to test the RiboZeroGold ScriptSeq complete low input library preparation kit for degraded RNA samples.

Publication Title

Gene expression, single nucleotide variant and fusion transcript discovery in archival material from breast tumors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53403
Expression data from mouse adipose tissue macrophage
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In mammals, expansion of adipose tissue mass induces accumulation of adipose tissue macrophages (ATMs). We isolated CD11c- (FB) and CD11c+ (FBC) perigonadal ATMs from SVCs of lean (C57BL/6J Lep +/+) and obese leptin-deficient (C57BL/6J Lep ob/ob) mice.

Publication Title

Obesity activates a program of lysosomal-dependent lipid metabolism in adipose tissue macrophages independently of classic activation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE73739
Transcriptional and Behavioral Responses of Zebrafish Larvae to Microcystin-LR Exposure
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Zebrafish Gene 1.0 ST Array (zebgene10st)

Description

Microcystin-LR (MC-LR), the most toxic member of microcystin family, inhibits protein phosphatase PP2A, triggers oxidative stress and induces hepatotoxicity. Gene expression profiling of MC-LR treated larvae using DNA microarray analysis revealed effects in the retinal visual cycle and pigmentation synthesis pathways that have not been previously associated with MC-LR. Liver-related genes were also differentially expressed. The microarray data were confirmed by quantitative real-time PCR. Our findings provide new evidence that microcystin-LR exposure of zebrafish larvae modulates the retinal visual cycle and pigmentation synthesis pathways and ultimately alter larval zebrafish behavior

Publication Title

Transcriptional and Behavioral Responses of Zebrafish Larvae to Microcystin-LR Exposure.

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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