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accession-icon SRP065153
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Several studies have shown that long non-coding RNAs (lncRNAs) may play anessential role in Epithelial-mesenchymal transition (EMT), which is an important step in tumor metastasis, however, little is known about the global change of lncRNA transcriptome during EMT. To investigate how lncRNA transcriptome alteration contributes to EMT progression regulation, we performed a whole-transcriptome strand-specific RNA deep sequencing of MCF10A induced EMT by TGF-ß. Deep sequencing results showed that the long RNA (>=200-nt) transcriptome of MCF10A was undergone a global changed in EMT, and this alteration was determined as early as 8h after being induced using TGF-ß. 8703 linear novel genes with ambiguous protein-coding potential were identified, 512 of which were further determined to be novel lncRNAs. After analyzing the expression of 5473 known and novel lncRNAs, as well as 2208 known and novel circRNAs during EMT, we found a large numbers of lncRNAs might be involved in the regulation of EMT. Intriguingly, we identified 216 gene clusters constituted by lncRNAs and/ornovel genes in “gene desert” region. The expressions of all genes in these clusters were changed concurrently during EMT, indicating that these clusters might play important role in EMT. Our study reveals a global reprogramming of lncRNAs transcriptome in EMT and provides clues to the study of the molecular mechanism of EMT.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP023130
Gallus gallus strain:XH chicken and BEH chicken Transcriptome or Gene expression
  • organism-icon Gallus gallus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The transcriptome sequencing reveals the divergence of the genetic mechanism of reproductive traits in two Chinese native breeds. XH chicken was meat-type breed with low reproduction ability, with a 70~80% incidence of broodiness in population, with the duration of 15~30 d brooding, and with a production of 60~90 eggs per year. BEH chicken was layer-type breed with high reproduction ability, with a 10%~15% incidence of broodiness in population, with the duration of 7~20 d brooding, and with a production of 180 eggs per year.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE81829
Mouse embryonic fibroblasts (MEFs) : AK156230 knockdown cells vs control cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

mRNAs expression profile of MEFs comparing AK156230 knockdown cells with control cells. The microarray with coverage of 45038 mouse mRNAs.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-81829

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP168448
Mus musculus Genome sequencing
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

The expression of lncRNAs in the hypothalamic neuronal stem cells of young mice and aged mice.The expression pattern of mRNAs in the hypothalamic neuronal stem cells of aged Hnscr null mice and littermate wild-type mice.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon GSE79973
Expression data from gastric cancer and paried normal tissues
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gastric cancer (GC) is one of the most common cancer worldwide. Specific and reliable molecular markers are limited; it is critical to identify new biomarkers for GC to aid in early diagnosis, treatment strategy, and prognosis evaluation. Microarray technology makes it possible to measure the expression levels of thousands of genes, and identifying meaningful and useful molecular targets from these large data.

Publication Title

Downregulation of ALDOB is associated with poor prognosis of patients with gastric cancer.

Alternate Accession IDs

E-GEOD-79973

Sample Metadata Fields

Specimen part

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accession-icon GSE94988
Expression data from Chronic Unpredict Mild Stress-induced depression in GK rats liver
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

To explored the mechanism of pharmacokinetic perturbation in chronic unpredicted mild stress (CUMS) resulting depression, CUMS-induced depression animal model with spontaneous diabetic GK rats were established.

Publication Title

Impact of chronic unpredicted mild stress-induced depression on repaglinide fate via glucocorticoid signaling pathway.

Alternate Accession IDs

E-GEOD-94988

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP058743
Genome wide study of the cross talk between GR and PPARA
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

The goal of this study was to asses genome wide cross talk between Glucocorticoid Receptor (GR) and Peroxisome Proliferator Activated Receptor Alpha (PPARA) on the level of DNA binding (ChIP-seq) and gene expression (RNA-seq) in primary mouse hepatocytes.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP121075
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon

Description

Individual CD27+ CD38+ individual human B cells were analyze with a new RNAseq protocol that captures the 5'' end of transcripts

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP133000
Transcriptional profiling of natural and synthetic chromosomal inversions
  • organism-icon Drosophila melanogaster
  • sample-icon 71 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Here, we characterize differential expression patterns associated with two chromosomal inversions found in natural Drosophila melanogaster populations. To isolate the impacts of genome structure, we engineered synthetic chromosomal inversions on controlled genetic backgrounds with breakpoints that closely match each natural inversion.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP053279
Saccharomyces cerevisiae Raw sequence reads
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptomic profiling of chemical exposure reveals roles of Yap1 in protecting yeast cells from oxidative and other types of stresses

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Disease, Cell line

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

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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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