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accession-icon GSE75629
Expression data from rat skeletal muscle
  • organism-icon Rattus norvegicus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.1 ST Array (ragene21st)

Description

We used old (~96-102 weeks of age) and young (~28-34 weeks of age) rats from HCR and LCR generations 29 and 32, respectively. The study included eight groups; HCR-Old-Exhausted (H-O-E, n=6), HCR-Old-Rest (H-O-R, n=6), HCR-Young-Exhausted (H-Y-E, n=6), HCR- Young -Rest (H-Y-R, n=6), LCR-Old-Exhausted (L-O-E, n=6), LCR-Old-Rest (L-O-R, n=6), LCR-Young-Exhausted (L-Y-E, n=6), and LCR- Young -Rest (L-Y-R, n=6). For the exhausted rats, dissections were performed within 10 min after the maximal running distance was reached.

Publication Title

Selection-, age-, and exercise-dependence of skeletal muscle gene expression patterns in a rat model of metabolic fitness.

Sample Metadata Fields

Specimen part

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accession-icon GSE70881
Expression analysis of draculin (drl) expressing cells in embryonic zebrafish
  • organism-icon Danio rerio
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Zebrafish Gene 1.0 ST Array (zebgene10st)

Description

drl expression initiates during gastrulation and condenses as a band of cells at the prospective lateral embryo margin. In late epiboly, drl:EGFP is detectable as a band of scattered EGFP-fluorescent cells; after gastrulation, drl:EGFP-positive cells coalesce at the embryo margin that then in somitogenesis break down into the anterior and posterior lateral plate with subsequent cell migrations that form the posterior vascular/hematopoietic stripes and the anterior cardiovascular and myeloid precursors.

Publication Title

Chamber identity programs drive early functional partitioning of the heart.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP096954
Genome-wide maps of metabolic labeled RNA in Drosophila S2 cells.
  • organism-icon Drosophila melanogaster
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

We report the application of ultrashort metabolic labeling of RNA for high-throughput profiling of RNA processing in Drosophila S2 cells. Overall design: Examination of 3 different labeling timepoints in Drosophila S2 cells.

Publication Title

The kinetics of pre-mRNA splicing in the <i>Drosophila</i> genome and the influence of gene architecture.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP065286
GATA-1 and heme regulate the erythroid cell transcriptome.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Alas2 gene encodes the rate-limiting enzyme in heme biosynthesis. CRISPR/Cas9-mediated ablation of two Alas2 intronic cis-elements strongly reduced GATA-1-induced Alas2 transcription, heme biosynthesis, and GATA-1 regulation of other vital constituents of the erythroid cell transcriptome. Bypassing Alas2 function in Alas2 cis-element-mutant (double mutant) cells by providing its catalytic product 5-aminolevulinic acid (5-ALA) rescued heme biosynthesis and the GATA-1-dependent genetic network. We discovered a GATA factor- and heme-dependent circuit that establishes the erythroid cell transcriptome. Overall design: G1E-ER-GATA-1 WT and double mutant cells were examined. Untreated WT, beta-estradiol-treated WT, beta-estradiol-treated double-mutant, and beta-estradiol/5-ALA-treated double-mutant cells were subjected to RNA-seq.

Publication Title

Mechanism governing heme synthesis reveals a GATA factor/heme circuit that controls differentiation.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE7476
Analysis of clinical bladder cancer classification according to microarray expression profiles
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using Affymetrix microarray technology we analyzed the gene expression profiles of the most important pathological categories of bladder cancer in order to detect potential marker genes. Applying an unsupervised cluster algorithm we observed clear differences between tumor and control samples, as well as between superficial and muscle invasive tumors. According to cluster results, the T1 high grade tumor type presented a global genetic profile which could not be distinguished from invasive cases. We described a new measure to classify differentially expressed genes and we compared it against the B-rank statistic as a standard method. According to this new classification method, the biological functions overrepresented in top differentially expressed genes when comparing tumor versus control samples were associated with growth, differentiation, immune system response, communication, cellular matrix and enzyme regulation. Comparing superficial versus invasive samples, the most important overrepresented biological category was growth and, specifically, DNA synthesis and mitotic cytoskeleton. On the other hand, some under expressed genes have been clearly related to muscular tissue contamination in control samples. Finally, we demonstrated that a pool strategy could be a good option to detect the best differentially expressed genes between two compared conditions.

Publication Title

DNA microarray expression profiling of bladder cancer allows identification of noninvasive diagnostic markers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE44401
Transcription factors MYOCD, SRF, Mesp1 and SMARCD3 significantly enhance the cardio-inducing effect of GATA4, TBX5, and MEF2C during direct cellular reprogramming
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Transient over-expression of defined combinations of master regulator genes can effectively induce cellular reprogramming: the acquisition of an alternative predicted phenotype from a differentiated cell lineage. This can be of particular importance in cardiac regenerative medicine wherein the heart lacks the capacity to heal itself, but simultaneously contains a large pool of fibroblasts. In this study we determined the cardio-inducing capacity of ten transcription factors to actuate cellular reprogramming of mouse embryonic fibroblasts into cardiomyocyte-like cells. Over-expression of transcription factors MYOCD and SRF alone or in conjunction with Mesp1 and SMARCD3 significantly enhanced the basal but necessary cardio-inducing effect of the previously reported GATA4, TBX5, and MEF2C. In particular, combinations of five or seven transcription factors significantly enhanced the activation of cardiac reporter vectors, and induced an upregulation of cardiac-specific genes. Global gene expression analysis also demonstrated a significantly greater cardio-inducing effect when the transcription factors MYOCD and SRF were used. Detection of cross-striated cells was highly dependent on the cell culture conditions and was enhanced by the addition of valproic acid and JAK inhibitor. Although we detected Ca2+ transient oscillations in the reprogrammed cells, we did not detect significant changes in resting membrane potential or spontaneously contracting cells. This study further elucidates the cardio-inducing effect of the transcriptional networks involved in cardiac cellular reprogramming, contributing to the ongoing rational design of a robust protocol required for cardiac regenerative therapies.

Publication Title

Transcription factors MYOCD, SRF, Mesp1 and SMARCD3 enhance the cardio-inducing effect of GATA4, TBX5, and MEF2C during direct cellular reprogramming.

Sample Metadata Fields

Specimen part

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accession-icon GSE3215
Gene Expression for fetal kidneys of hyper insulinemia induced intrauterine growth restriction rat model
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Inrauterine growth restriction was induced by chronic hyper insulinemia in pregnant rats and differential gene expression was studied using affymetrix rat genome RAE230A.Data was analysed using SAM.

Publication Title

Adult hypertension in intrauterine growth-restricted offspring of hyperinsulinemic rats: evidence of subtle renal damage.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP077595
Anti-Inflammatory Effects of Budesonide in Human Fetal Lung
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Rationale. Lung inflammation in premature infants contributes to development of bronchopulmonary dysplasia (BPD), a chronic lung disease with long-term sequelae. Pilot studies administering budesonide suspended in surfactant have found reduced BPD without apparent adverse effects as occur with systemic dexamethasone therapy. Objectives. To determine effects of budesonide on differential genes expression in human fetal lung Overall design: Methods. We prepared RNA from 3 samples of human fetal lung at 23 weeks gestation before (preculture, PC) and after 4 days culture as explants with (Bud) or without (Way) budesonide (30 nM) and performed RNAseq on the 9 samples.

Publication Title

Antiinflammatory Effects of Budesonide in Human Fetal Lung.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE24235
Skeletal muscle gene expression in response to resistance exercise: sex specific regulation
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The molecular mechanisms underlying the sex differences in human muscle morphology and function remain to be elucidated. The purpose of the study was to detect the sex differences in the skeletal muscle transcriptome in both the resting state and following anabolic stimuli, resistance exericse.

Publication Title

Skeletal muscle gene expression in response to resistance exercise: sex specific regulation.

Sample Metadata Fields

Sex

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accession-icon GSE22435
Expression of Splicing Factor Genes is Reduced in Human Obesity and Contributes to Enhanced Lipogenesis
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Alternative mRNA splicing provides transcript diversity and has been proposed to contribute to several human diseases. Here, we demonstrate that expression of genes regulating RNA processing is decreased in both liver and skeletal muscle of obese humans. To determine the metabolic impact of reduced splicing factor expression, we further evaluated the splicing factor, SFRS10, identified as down-regulated in obese human liver and skeletal muscle and in high fat fed rodents. siRNA-mediated reductions in SFRS10 expression induced lipogenesis and lipid accumulation in cultured hepatocytes. Moreover, SFRS10 heterozygous mice have both increased hepatic lipogenic gene expression and hypertriglyceridemia. We also demonstrate that LPIN1, a key regulator of lipid metabolism, is a splicing target of SFRS10, with reduced SFRS10 levels favoring the lipogenic isoform of LPIN1. Importantly, LPIN1-specific siRNA abolished the lipogenic effects of decreased SFRS10 expression. Together, our results indicate reduced expression of SFRS10 alters LPIN1 splicing and induces lipogenesis, demonstrating that reduced splicing factor expression observed in human tissues may contribute to metabolic phenotypes associated with human obesity.

Publication Title

Expression of the splicing factor gene SFRS10 is reduced in human obesity and contributes to enhanced lipogenesis.

Sample Metadata Fields

Age, Subject

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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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