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accession-icon SRP118775
RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Long non-coding RNA (lncRNA) have been implicated in human pathology, however, their roles in colorectal carcinogenesis has not been fully elucidated. In the current study, whole-transcriptome was analyzed in 3 pairs of colorectal cancer (CRC) and matched normal mucosa (NM) by RNA sequencing (RNA-seq). Followed by confirmation using the Cancer Genome Atlas (TCGA) dataset, we identified 27 up-regulated and 22 down-regulated lncRNAs in CRC. Up-regulation of four lncRNAs, hereby named colorectal cancer associated lncRNA (CRCAL)-1 [AC021218.2], CRCAL-2 [LINC00858], CRCAL-3 [RP11-138J23.1] and CRCAL-4 [RP11-435O5.2], was further validated by real-time RT-PCR in 139 colorectal neoplasms and matched NM tissues. Knockdown of CRCAL-3 and CRCAL-4 in colon cancer cells reduced cell viability and colony formation ability, and induced cell cycle arrest. TCGA dataset supported the associations of CRCAL-3 and CRCAL-4 with cell cycle and revealed a co-expression network comprising dysregulated lncRNAs associated with protein-coding genes. In conclusion, RNA-seq identified numbers of novel lncRNAs dysregulated in CRC. In vitro experiments and GO term enrichment analysis indicated the functional relevance of CRCAL-3 and CRCAL-4 in association with cell cycle. Our data highlight the capability of RNA-seq to discover novel lncRNAs involved in human carcinogenesis, which may serve as alternative biomarkers and/or molecular treatment targets. Overall design: 6 total samples consisting of 3 matched pairs of colorectal cancer (CRC) and matched normal mucosa (NM)

Publication Title

A RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE48060
Transcriptome from circulating cells suggests dysregulated pathways associated with long-term recurrent events following first-time myocardial infarction.
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Whole-genome gene expression analysis has been successfully utilized to diagnose, prognosticate, and identify potential therapeutic targets for cardiovascular disease. However, the utility of this approach to identify outcome-related genes and dysregulated pathways following first-time myocardial infarction (AMI) remains unknown and may offer a novel strategy to detect affected expressome networks that predict long-term outcome. Whole-genome microarray and targeted cytokine expression profiling on blood samples from normal cardiac function controls and first-time AMI patients within 48-hours post-MI revealed expected differential gene expression profiles enriched for inflammation and immune-response pathways in AMI patients. To determine molecular signatures at the time of AMI that could prognosticate long-term outcomes, transcriptional profiles from sub-groups of AMI patients with (n=5) or without (n=22) any recurrent events over an 18-month follow-up were compared. This analysis identified 559 differentially expressed genes. Bioinformatic analysis of this differential gene set for associated pathways revealed 1) increasing disease severity in AMI patients is associated with a decreased expression of the developmental epithelial-to-mesenchymal transition, and 2) modulation of cholesterol transport genes that include ABCA1, CETP, APOA1, and LDLR is associated with clinical outcome. In conclusion, differentially regulated genes and modulated pathways were identified that predicted recurrent cardiovascular outcomes in first-time AMI patients. This cell-based approach for risk stratification in AMI warrants a larger study to determine the role of metabolic remodeling and regenerative processes required for optimal outcomes. A validated transcriptome assay could represent a novel, non-invasive platform to anticipate modifiable pathways and therapeutic targets to optimize long-term outcome for AMI patients.

Publication Title

Transcriptome from circulating cells suggests dysregulated pathways associated with long-term recurrent events following first-time myocardial infarction.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE51365
Latent gammaherpesvirus 68 infection induces distinct transcriptional changes in different organs
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Previous studies identified a role for latent herpesvirus infection in cross-protection to infection and exacerbation of chronic inflammatory diseases. Here, we compared the gene expression signature from livers, spleens and brains of mice infected with wild-type gammaherpesvirus 68 (MHV68), a mutant virus defective in the establishment of latency (ORF73.stop) or mockulum. We identified over 600 genes differentially expressed in organs of mice latently infected with MHV68 and found distinct sets of genes linked to different pathways were altered in spleen compared to liver. Several of the most differentially expressed latency-specific genes (e.g. IFN, Cxcl9, Ccl5) are associated with known latency-specific phenotypes.

Publication Title

Latent gammaherpesvirus 68 infection induces distinct transcriptional changes in different organs.

Sample Metadata Fields

Specimen part

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accession-icon GSE20377
Activation or maintenance of a leukemia stem cell self-renewal pathway in downstream myeloid cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Activation or maintenance of a leukemia stem cell self-renewal pathway in downstream myeloid cells is an important component of AML development

Publication Title

The Wnt/beta-catenin pathway is required for the development of leukemia stem cells in AML.

Sample Metadata Fields

Specimen part

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accession-icon GSE30436
Transcriptome profiling of reproductive stage flag leaves of wheat from drought susceptible parent WL711, drought tolerant parent C306 and drought susceptible and drought tolerant RIL bulks in irrigated and drought condition
  • organism-icon Triticum aestivum
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

The aim of the study was to identify candidate genes responsible for drought tolerance trait between a pair of wheat varieties ( WL711 and C306) and correspondng progeny bulks (10 drought susceptible RILs and 10 drought tolerant RILs) by combining QTLs analysis with expression analysis. Microarray analysis of RNA extracted from the flag leaves showed large number of differentially expressed genes. The number of differentially expressed genes was reduced to 37 on the basis of their occurance in a major QTL region (responcible for drought tolerance) detected in RIL population derived from WL711 and C306.

Publication Title

Genomic associations for drought tolerance on the short arm of wheat chromosome 4B.

Sample Metadata Fields

Specimen part

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accession-icon GSE36228
Affymetrix Cotton Genome array expression data of cotton fiber at different developmental stages from different varieties of Gossypium hirsutum
  • organism-icon Gossypium hirsutum
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Cotton fiber were used for the expression analysis at different developmental stages

Publication Title

Transcriptome dynamics during fibre development in contrasting genotypes of Gossypium hirsutum L.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41842
Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Medulloblastoma is a malignant brain tumor that occurs predominantly in children. Current risk stratification based on the clinical parameters is inadequate for accurate prognostication. In order to get a better understanding of medulloblastoma biology, miRNA profiling of medulloblastomas was carried out in parallel with the expression profiling of protein- coding genes.

Publication Title

Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway.

Sample Metadata Fields

Sex

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accession-icon SRP150182
Nitric oxide engages an anti-inflammatory feedback loop mediated by peroxiredoxin 5 in phagocytes
  • organism-icon Mus musculus
  • sample-icon 224 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptional profiling of murine dendritic cells stimulated with LPS and IFNg after shRNA knockdown of redox regulators. Overall design: shRNA targeting redox regulators were delivered to bone marrow derived dendritic cells. Cells were stimulated with LPS and IFNg prior to transcriptional profiling by RNAseq over a time course. Each sample sequenced on two Illumina lanes.

Publication Title

Nitric Oxide Engages an Anti-inflammatory Feedback Loop Mediated by Peroxiredoxin 5 in Phagocytes.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE17373
Expression data from EGFR mutant transgenic mice
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We performed mRNA expression profiling of lung tumors from C/L858R, C/T790M, and C/L+T mice and from corresponding normal lung tissue.

Publication Title

Dual targeting of EGFR can overcome a major drug resistance mutation in mouse models of EGFR mutant lung cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE55311
Gene expression response to mitochondrial DNA depletion
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mitochondrial defects are associated with a spectrum of human disorders, ranging from rare, inborn errors of metabolism to common, age-associated diseases such as diabetes and neurodegeneration. In lower organisms, genetic retrograde signaling programs have been identified that promote cellular and organism survival in the face of mitochondrial dysfunction. Here, we characterized the transcriptional component of the human mitochondrial retrograde response in an inducible model of mitochondrial dysfunction.

Publication Title

Mitochondrial dysfunction remodels one-carbon metabolism in human cells.

Sample Metadata Fields

Cell line

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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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