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accession-icon SRP132230
Transcriptome analysis of diet-induced metabolic syndrome rats treated with ellagitannin geraniin
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Metabolic syndrome is a collection of interconnected risk factors including obesity, insulin resistance, dyslipidemia and high blood pressure. Desirably, an effective pharmacotherapy for the medical condition should be able to target multiple risk factors concurrently. Based on our literature review and preliminary studies, ellagitannin geraniin, which is a polyphenolic compound, can confer many health benefits related to metabolic syndrome, but the underlying mechanism is unclear. Thus, we aim to explore the molecular pathways of the natural product using transcriptomic analysis. As for the experimental design, Sprague Dawley rats were given starch-based control diet (CD) or high-fat diet (HFD) for 8 weeks to induce metabolic syndrome. Then, some of the rats from HFD group were treated with ellagitannin gerannin (25 mg/kg/day) via oral gavage for 4 weeks. Other rats from the CD and HFD groups were treated with vehicle (10% w/v glucose solution) via the same approach. At the end of the experiment, total RNA was isolated from the liver for sequencing to compare the transcriptomes between groups.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP169871
Changed gene expression in mouse LGN and MGB induced by visual deprivation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Transcriptome was performed to reveal the gene expression change in mouse thalamic LGN and MGB after visual deprivation throughing one-week dark exposure from postnatal day 21 to 28 day.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP213298
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Analysis of the molecular mechanism through which Rh2 promotes cancer cell apoptosis at the transcriptome level.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP092151
RNAseq analysis of med18 and med20 roots infected with Fusarium oxysporum
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The study aims to identify differences in gene expression in the root tissue of wild type Columbia-0 as well as Arabidopsis Mediator subunit mutants, med18 and med20 in response to the root pathogen Fusarium oxysporum. Roots were inoculated for 24 hours before harvesting for RNA isolation and paired end Illumina sequencing.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE16170
Genome-wide analysis of miRNA-targeted cellular NMD substrates in HeLa cell
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Analysis of miRNA-targeted cellular NMD substrates in HeLa cell. The hypothesis tested in the present study was that endogenous NMD substrates containing long 3' untranslated region may targeted for miRNA. Results provide important information expanding the roles of miRISC in the posttranscriptional regulation of gene expression: a new cross-talk between miRNA-mediated gene silencing and NMD.

Publication Title

microRNA/Argonaute 2 regulates nonsense-mediated messenger RNA decay.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60558
Expression data in HT1080 cells treated with cMyc-shRNA or non-targeting control shRNA
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

cMyc is a master regulator of transcription in growing cells. Here, we used microarray to study global transcriptomic expression of cMyc knockdown HT1080 cells to investigate cMyc- regulated gene expression.

Publication Title

cMyc-mediated activation of serine biosynthesis pathway is critical for cancer progression under nutrient deprivation conditions.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP173029
Arabidopsis thaliana Transcriptome or Gene expression
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Arabidopsis thaliana Transcriptome (Vv-circATS1-OE and WT under 4?)

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE14843
Altered Hepatic Gene Expression Profiles Associated with Myocardial Ischemia
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

BackgroundAcute coronary syndrome (ACS) is sometimes accompanied by accelerated coagulability, lipid metabolism, and inflammatory responses, which are not attributable to the cardiac events alone. We hypothesized that the liver plays a pivotal role in the pathophysiology of ACS. We simultaneously analyzed the gene expression profiles of the liver and heart during acute myocardial ischemia in mice.

Publication Title

Altered hepatic gene expression profiles associated with myocardial ischemia.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE86861
Global Gene Expression Analyses of Three BCC Subsets, Based on the Relative Level of Oct4A
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite education and aggressive treatment, breast cancer (BC) remains a clinical problem. BC cells (BCCs) can migrate early to metastatic sites where they may exist in cellular dormancy for decades. Presently, there are no consensus markers for cancer stem cells (CSCs) that are involved in tumor initiation and progression, and drug resistance. The current designation of CSCs might comprise similar tumor initiating cells, but at different developmental phase. In order to understand these differences, we developed a working hierarchy of BCCs. We initiated the studies in which three BCC subsets were selected based on the relative expressions of the stem cell-linked genes, Octamer4A (Oct4A). The sorted BCCs were subjected to array analyses using Affymetrix gene chip. Hierarchical clustering indicated distinct gene expression among the three subsets. Differential gene expressions of membrane proteins validated three novel genes, TMEM-98, GPR64 and FAT4. These three genes, in combination of known markers for CSCs, CD44, CD24, aldehyde dehydrogenase 1 (ALDH1) and Oct4A, were used to stratify BCCs led to a working hierarchy of BCCs. The validity of the hierarchical BCCs was applied to blood samples from patients, during relapse, and before and after treatment. These studies resulted in the patients grouped with distinct BCCs in the circulation. The relevance of the latter findings are discussed with regards to prediction of treatment response and time of BC relapse. The findings require a larger cohort of patients in a prospective multi-center study. The stratification could be important to understand treatment response, strategies for alternative approaches, and an understanding of the interaction between particular BCC subsets and the tissue microenvironment.

Publication Title

Evaluation of a developmental hierarchy for breast cancer cells to assess risk-based patient selection for targeted treatment.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP136224
zebrafish RNA-seq
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

To reveal the toxic mechanism of thifluzamide in zebrafish

Publication Title

No associated publication

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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