refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 96 results
Sort by

Filters

Technology

Platform

accession-icon GSE21937
Germ-free and anti-biotic treated rats
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The objective of the study was identify hepatic genes with expression by deprivation of gut flora. Two models were used: model 1 (study 1443KR) examined germ-free Sprague Dawley and model 2 (1512KR) examined antibiotic treated Han Wistar rats.

Publication Title

Systemic gut microbial modulation of bile acid metabolism in host tissue compartments.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE17667
Pou5f1 transcription targets in zebrafish
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Zebrafish Pou5f1-dependent transcriptional networks in temporal control of early development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17657
Experiment 4: Affymetrix validation array
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Zebrafish embryo were analyzed at 30 and 60 % epiboly for changes in transcriptome of wild-type and MTspg mutant embryos

Publication Title

Zebrafish Pou5f1-dependent transcriptional networks in temporal control of early development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP187754
RNA sequencing profiling of the retina in C57BL/6J and DBA/2J mice: enhancing the retinal microarray datasets from GeneNetwork
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goal of the present study is to provide an independent assessment of the retinal transcriptome signatures of the C57BL/6J (B6) and DBA/2J (D2) mice and to enhance existing microarray datasets for accurately defining the allelic differences in the BXD recombinant inbred strains. Methods: Retinas from both B6 and D2 mice (3 of each) were used for the RNA-seq analysis. Transcriptome features were examined for both strains. Differentially expressed genes between the 2 strains were identified and bioinformatic analysis was performed to analyze the transcriptome differences between B6 and D2 strains, including Gene ontology (GO) analysis, Phenotype and Reactome enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The RNA-seq data were then directly compared with one of the microarray datasets (DoD Retina Normal Affy MoGene 2.0 ST RMA Gene Level Microarray Database) hosted on GeneNetwork (www.genenetwork.org). Results: RNA-seq provided an in-depth analysis of the transcriptome of the B6 and D2 retina with a total of more than 30,000,000 reads per sample. Over 70% of the reads were uniquely mapped, resulting in a total of 18,100 gene counts for all 6 samples. 1,665 genes were differentially expressed, with 858 of these more highly expressed in B6 and 807 more highly expressed in D2. Several molecular pathways were differentially active between the two strains, including the retinoic acid metabolic process, endoplasmic reticulum lumen, extracellular matrix organization, and PI3K-Akt signaling pathway. The most enriched KEGG pathways were the pentose and glucuronate interconversions pathway, the cytochrome P450 pathway, protein digestion and absorption pathway and the ECM-receptor interaction pathway. Each of these pathways had a more than 4-fold enrichment. The DoD normal retina microarray database provided expression profiling for 26,191 annotated transcripts for B6 mouse, D2 mouse and 53 BXD strains. A total of 13,793 genes in this microarray dataset were comparable to the RNA-seq dataset. For both B6 and D2, the RNA-seq data and microarray data were highly correlated with each other (Pearson's r = 0.780 for B6 and 0.784 for D2). Our results suggest that the microarray dataset can reliably detect differentially expressed genes between the B6 and D2 retinas, with a positive predictive value of 45.6%, and a negative predictive value of 93.6%. Examples of true positive and false positive genes are provided. Conclusions: Retinal transcriptome features of B6 and D2 mouse strains provide a useful reference for a better understanding of the mouse retina. Generally, the microarray database presented on GeneNetwork shows good agreement with the RNA-seq data, while we note that any allelic difference between B6 and D2 should be verified with the latter. Overall design: Retinal mRNA profiles of 2 strains of mice, C57BL/6J and DBA/2J, were generated by deep sequencing, in triplicate, using Illumina TruSeq Stranded Total RNA kit.

Publication Title

RNA sequencing profiling of the retina in C57BL/6J and DBA/2J mice: Enhancing the retinal microarray data sets from GeneNetwork.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP075923
Next Generation Sequencing of long-term hematopoietic cells (LT-HSCs) with or without mutations in JAK2 and Ezh2
  • organism-icon Mus musculus
  • sample-icon 112 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Comparison of mRNA expression profiles of LT-HSCs with or without mutations in JAK2 and Ezh2 by RNA sequencing. LT-HSC mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of LT-HSC with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of LT-HSC with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis. Overall design: LT-HSCs mRNA profiles six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) were generated by deep sequencing.

Publication Title

Loss of Ezh2 synergizes with JAK2-V617F in initiating myeloproliferative neoplasms and promoting myelofibrosis.

Sample Metadata Fields

Sex, Subject

View Samples
accession-icon SRP075921
Next Generation Sequencing of megakaryocyte-erythrocyte progenitor cells (MEPs) with or without mutations in JAK2 and Ezh2
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Comparison of mRNA expression profiles of MEPs with or without mutations in JAK2 and Ezh2 by RNA sequencing. MEPs mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of MEP with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of MEP with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis. Overall design: MEPs mRNA profiles six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) were generated by deep sequencing.

Publication Title

Loss of Ezh2 synergizes with JAK2-V617F in initiating myeloproliferative neoplasms and promoting myelofibrosis.

Sample Metadata Fields

Sex, Subject

View Samples
accession-icon E-MEXP-1239
Transcription profiling time series of Danio rerio heart regeneration
  • organism-icon Danio rerio
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Amputation of heart tissue followed by regeneration of the heart. Samples were taken at 0 hpa (hours post-amputation), 6 hpa, 12 hpa, 24 hpa, 3 dpa and 5 dpa.

Publication Title

Simplet controls cell proliferation and gene transcription during zebrafish caudal fin regeneration.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon SRP077926
Type-I-Interferons induce the decimation of antiviral B cells at the onset of chronic infection [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Abstract: Immune subversion represents a hallmark of persistent infection, but microbial suppression of B cell responses remains mechanistically ill-defined. Adoptive transfer experiments in a chronic viral infection model evidenced the rapid and profound decimation of B cells that responded to virus or to concomitantly administered protein. Decimation affected naïve and memory B cells and resulted from biased differentiation into short-lived antibody-secreting cells. It was driven by type I interferon (IFN-I) signaling to several cell types including dendritic cells, T cells and myeloid cells. Durable B cell responses were restored upon IFN-I receptor blockade or, partially, when depleting myeloid cells or key IFN-I-induced cytokines. B cell decimation represents a molecular mechanism of humoral immune subversion and reflects an unsustainable “all-in” response of B cells in IFN-I-driven inflammation. Overall design: We adoptively transferred naïve KL25HL cells (LCMV-WE-GP-specific B cells) to aIFNAR- or isotype control-treated syngeneic recipient mice, followed by rLCMV-Cl13/WE-GP. On day 3 of infection, spleen were harvested and proliferated KL25HL B cell progeny (CD45.1+B220+CFSElo) were FACS-sorted and total RNA was processed for RNAseq. n=4

Publication Title

Interferon-driven deletion of antiviral B cells at the onset of chronic infection.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

View Samples
accession-icon GSE12705
Differential gene expression during porcine conceptus trophoblastic elongation and attachment to the uterine epithelium
  • organism-icon Sus scrofa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The objective of the present investigation was to utilize the GeneChip Porcine Genome Array from Affymetrix possessing 20, 201 unique probe sets to identify differentially expressed genes during rapid trophoblastic elongation and attachment to the uterine surface in the pig. Identification and characterization of conceptus gene expression patterns during rapid trophoblastic elongation and attachment in the pig will provide a better understanding of the events required for successful implantation and embryonic survival.

Publication Title

Identification of differential gene expression during porcine conceptus rapid trophoblastic elongation and attachment to uterine luminal epithelium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18343
Expression data from estrogen disrupted endometrium
  • organism-icon Sus scrofa
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Placentation of the conceptus to the surface epithelium is governed through a tightly regulated temporal and spatial window. Premature exogenous steriod exposure causes a shift in the maternal tissue's receptivity and prevents proper placentation.

Publication Title

Effects of aberrant estrogen on the endometrial transcriptional profile in pigs.

Sample Metadata Fields

Specimen part

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