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accession-icon DRP000508
Mouse transcriptome (mRNA-seq)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

We performed transcriptome sequencing (mRNA-seq) of mouse gamete, zygote, and stem cells.

Publication Title

Contribution of intragenic DNA methylation in mouse gametic DNA methylomes to establish oocyte-specific heritable marks.

Sample Metadata Fields

No sample metadata fields

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accession-icon DRP000647
RNA-sequencing of estradiol exposed bovine granulosa cells
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-sequencing study of the granulosa cells that has been exposed to no or 1 µg/ml E2 for 4days, and OGCs that formed antrum at 8days.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE151857
TBR-760, a Dopamine-Somatostatin Compound, Arrests Tumor Growth of Aggressive Non-Functioning Pituitary Adenomas in Mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

TBR-760 (formerly BIM-23A760) is a chimeric dopamine (DA)-somatostatin (SST) compound with potent agonist activity at both DA type 2 (D2R) and SST type 2 (SSTR2) receptors. Non-functioning pituitary adenomas (NFPAs) express both D2R and SSTR2 and, consequently, may respond to TBR-760. We utilized a mouse model with the pro-opiomelanocortin (POMC) gene knocked-out that spontaneously develops aggressive NFPAs. Both genomic microarray and DA and SST receptor mRNA expression analysis indicate that POMC KO mouse tumors and human NFPAs have similar expression profiles, establishing POMC KO mice as a valid model for study of NFPAs. Treatment with TBR-760 for 8 weeks resulted in nearly complete inhibition of established tumor growth, whereas tumors from vehicle-treated mice increased in size by 890 ± 0.7%. These results support the development of TBR-760 as a therapy for patients with NFPA.

Publication Title

TBR-760, a Dopamine-Somatostatin Compound, Arrests Growth of Aggressive Nonfunctioning Pituitary Adenomas in Mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE21900
Expression profiling of the Otx2 CKO retina
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In the vertebrate retina, the Otx2 transcription factor plays a crucial role in the cell fate determination of both rod and cone photoreceptors. Otx2 conditional knockout (CKO) mice exhibited a total absence of rods and cones in the retina due to their cell fate conversion to amacrine-like cells. In order to investigate the entire transcriptome regulated by Otx2 in the developing retina, we performed microarray analysis on the Otx2 CKO retina.

Publication Title

Analysis of transcriptional regulatory pathways of photoreceptor genes by expression profiling of the Otx2-deficient retina.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE61358
Gene expression data from human induced pluripotent stem cells, induced pluripotent stem cell-derived human neural stem/progenitor cells, and iPSC-derived cerebral cortical neurons
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Embryonic stem cells are pluripotent and possess the ability to differentiate into numerous lineages during the developmental process. In similarity to embryonic stem cells, human induced pluripotent stem cells (iPSCs) possess the potential to differentiate into multiple lineages making them an excellent research tool. We generated iPSCs from multiple donors and also differentiated iPSCs from these donors into human neural stem/progenitor cells (NSCs). We used human transcriptome arrays to detail the programme of gene expression underlying NPC induction and identified distinct classes of up-regulated genes during this process.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE25607
Gene expression analysis of embryonic photoreceptor precursor cells using BAC-Crx-EGFP transgenic mouse.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We generated a transgenic mouse line which express EGFP in the retina driven by the Crx promoter using BAC transgenesis. We sorted EGFP-positive photoreceptor precursors at E17.5 using FACS, and subsequently performed microarray analysis of the FACS-sorted cells.

Publication Title

Gene expression analysis of embryonic photoreceptor precursor cells using BAC-Crx-EGFP transgenic mouse.

Sample Metadata Fields

Specimen part

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accession-icon GSE41358
Expression data from mouse preimplantation cloned embryos
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptiome analysis is an excellent approach to understand the mechanism underlying nuclear reprogramming in somatic-cell-cloned embryos. Analysis of the transcriptomic data from the oocyte to blastocyst stage revealed that specific genes were inappropriately reprogrammed at each stage. Sertoli cell-cloned embryos appear to develop normally because the progression of incorrect reprogramming is concealed throughout development.

Publication Title

The transcriptomic architecture of mouse Sertoli cell clone embryos reveals temporal–spatial-specific reprogramming.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE45668
The presence of the Y-chromosome, not the absence of the second X-chromosome, alters the mRNA levels stored in the fully grown XY mouse oocyte
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The oocytes of B6.Y(TIR) sex-reversed female mouse mature in culture but fail to develop after fertilization because of their cytoplasmic defects. To identify the defective components, we compared the gene expression profiles between the fully-grown oocytes of B6.Y(TIR) (XY) females and those of their XX littermates by cDNA microarray. 173 genes were found to be higher and 485 genes were lower in XY oocytes than in XX oocytes by at least 2-fold. We compared the transcript levels of selected genes by RT-PCR in XY and XX oocytes, as well as in XO oocytes missing paternal X-chromosomes. All genes tested showed comparable transcript levels between XX and XO oocytes, indicating that mRNA accumulation is well adjusted in XO oocytes. By contrast, in addition to Y-encoded genes, many genes showed significantly different transcript levels in XY oocytes. We speculate that the presence of the Y-chromosome, rather than the absence of the second X-chromosome, caused dramatic changes in the gene expression profile in the XY fully-grown oocyte.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE3463
Expression profiling of mouse gonadal somatic cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression profiling of FACS sorted GFP+ve cells from sexed gonads of transgenic pSF1-eGFP mice

Publication Title

Expression profiling of purified mouse gonadal somatic cells during the critical time window of sex determination reveals novel candidate genes for human sexual dysgenesis syndromes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13507
Predective Value of Prognosis-Related Gene Expression Study in Primary Bladder Cancer
  • organism-icon Homo sapiens
  • sample-icon 244 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance.

Publication Title

Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage

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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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