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accession-icon GSE50794
GEMM CRC collection analysis
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A collection of genetically engineered mouse models (GEMM) of colorectal cancer (CRC) were created, and primary tumors from these GEMMs were analyzed.

Publication Title

Cross-species analysis of genetically engineered mouse models of MAPK-driven colorectal cancer identifies hallmarks of the human disease.

Sample Metadata Fields

Specimen part

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accession-icon GSE39557
Expression data from genetically engineered mouse models (GEMMs)
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

3 Cell lines from Apc, p53 (AP) GEMMs were compared to 12 cell lines from Apc, Kras, p53 (AKP) GEMMs.

Publication Title

Development of a colon cancer GEMM-derived orthotopic transplant model for drug discovery and validation.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE12288
Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease
  • organism-icon Homo sapiens
  • sample-icon 222 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profile in circulating leukocytes identifies patients with coronary artery disease

Publication Title

Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease.

Sample Metadata Fields

Sex, Age, Specimen part, Race

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accession-icon SRP008258
Human mitochondria hub of small RNAs: Analysis by deep Sequencing
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report here that human mitochondria contain small RNA including microRNA, piRNA, tRNA, rRNA, and RNA repeats. Mitochondria from human cells were purified and RNA isolated. Small RNAs were purified, library generated and analyzed by Illumina Hiseq 2000 system. The sequencing generated 19.5 and 17.7 million reads from HEK-293 and HeLa respectively. 91% and 97% sequences of HEK293 and HeLa respectively were annotated to various classes of small RNA. The total percentage of 4.21 and 2.58 sequences from HEK293 and HeLa respectively was found to be of miRNA. Further, we found only 1.2 % sequences from both the libraries aligned to mitochondrial genome. These results suggest that there is efficient transport of nuclear encoded small RNA to mitochondria. The small RNA in mitochondria may regulate critical cellular processes. Overall design: Analyzing the smallRNA in human mitochondria from two human cell lines (HEK-293 and HeLa).

Publication Title

Systematic analysis of small RNAs associated with human mitochondria by deep sequencing: detailed analysis of mitochondrial associated miRNA.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE16108
Transcription profiling of parental lines and bulked salt sensitive and salt tolerant RILs derived from 2 rice varieties
  • organism-icon Oryza sativa indica group
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

The aim of this study was to minimize the number of candidate genes responsible for salt tolerance between a pair of rice varieties (CSR27 and MI48) with contrasting level of salt tolerance by bulked segregant analysis of their recombinant inbred lines. Microarray analysis of RNA extracted from the tolerant and susceptible parents without and with stress showed 798 and 2407 differentially expressed genes, respectively. The number of differentially expressed genes was drastically reduced to 70 and 30, by pooling the RNAs from ten extreme tolerant and ten extreme susceptible RILs due to normalization of irrelevant differentially expressed genes between the parents.

Publication Title

Combining QTL mapping and transcriptome profiling of bulked RILs for identification of functional polymorphism for salt tolerance genes in rice (Oryza sativa L.).

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE27568
Ubb Knockout Mouse Testis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of Ubb knockout mouse testes at 7, 4, 21, and 28 dpp. Ubiquitin (Ub) is an essential protein found in all eukaryotic cells and plays important roles in a variety of cellular functions including germ cell development. Targeted disruption of the polyubiquitin gene Ubb results in male and female infertility in mice with germ cells arrested at meiotic prophase I.

Publication Title

Altered testicular gene expression patterns in mice lacking the polyubiquitin gene Ubb.

Sample Metadata Fields

Specimen part

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accession-icon GSE20368
1q gain clinical impact in Ewing's Sarcoma: role of DTL
  • organism-icon Homo sapiens
  • sample-icon 9 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

1q gain and CDT2 overexpression underlie an aggressive and highly proliferative form of Ewing sarcoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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accession-icon GSE20357
Expression data from DTL silenced-Ewing Sarcoma's cell lines along with their controls
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The 1q gain is related to poor survival, and to a profile of cell cycle deregulation in Ewing's Sarcoma (ES). Tumor samples with 1q gain overexpress the gene DTL.

Publication Title

1q gain and CDT2 overexpression underlie an aggressive and highly proliferative form of Ewing sarcoma.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE4448
Global analysis of the transcriptional network controlling Xenopus endoderm formation
  • organism-icon Xenopus laevis
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

A conserved molecular pathway has emerged controlling endoderm formation in Xenopus zebrafish and mice. Key genes in this pathway include Nodal ligands and transcription factors of the Mix-like paired homeodomain class, Gata4-6 zinc finger factors and Sox17 HMG domain proteins. While a linear epistatic pathway has been proposed, the precise hierarchical relationships between these factors and their downstream targets are largely unresolved. Here we used a combination of microarray analysis and loss-of-function experiments to examine the global regulatory network controlling Xenopus endoderm formation. We identified over 300 transcripts enriched in the gastrula endoderm, including most of the known endoderm regulators as well as over a hundred uncharacterized genes. Surprisingly only 10% of the endoderm transcriptome is regulated as predicted by the current linear model. We find that Nodals, Mixer and Sox17 have both shared and distinct sets of downstream targets and that a number of unexpected autoregulatory loops exist between Sox17 and Gata4-6, Sox17 and Bix1, 2, 4 and between Sox17 and Xnr4. We find that Mixer does not function primarily via Sox17 as previously proposed. This data provides a new insight into the complexity of endoderm formation and will serve as valuable resource for establishing a complete endoderm gene regulatory network.

Publication Title

Global analysis of the transcriptional network controlling Xenopus endoderm formation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15912
Whole genome transcriptome profiling of Pusa 1266 and Pusa Basmati 1 in panicle primordia stage
  • organism-icon Oryza sativa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

The aim of this study was to identify candidate genes responsible for grain number per panicle between a pair of rice varieties (Pusa 1266 and Pusa Basmati 1) by combining QTL analysis with expression analysis. Microarray analysis of RNA extracted from the panicle primordia showed 2741 differentially expressed genes. The differentially expressed genes were shortened to 18 on the basis of their occurance in the QTL region (responsible for grain number regulation) detected in RIL population derived from Pusa 1266 and Pusa Basmati 1.

Publication Title

Identification of candidate genes for grain number in rice (Oryza sativa L.).

Sample Metadata Fields

No sample metadata fields

View Samples
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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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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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