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accession-icon GSE24514
Expression data from human MSI colorectal cancer and normal colonic mucosa
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Microsatellite instability (MSI), caused by defective mismatch repair, is observed in a subset of colorectal cancers (CRCs). We evaluated somatic mutations in microsatellite repeats of genes chosen based on reduced expression in MSI CRC and existence of a coding mononucleotide repeat.

Publication Title

Candidate driver genes in microsatellite-unstable colorectal cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE6769
Expression data from Pseudomonas aeruginosa (wild type and lasRrhlR mutant strains) exposed to human neutrophils
  • organism-icon Pseudomonas aeruginosa pao1, Pseudomonas aeruginosa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

In the present in vitro study, interactions between P. aeruginosa (sessile biofilms as well as planktonic cells) and PMNs were analyzed by means of DNA microarray based transcriptomics. We found that the P. aeruginosa wild type biofilms, in contrast to planktonic cultures and quorum sensing (QS) deficient strains, respond to PMN exposure in a rather aggressive manner. The response does not involve protective mechanisms such as those involved in oxidative stress. Rather it is dominated by QS controlled virulence determinants such as those encoded by pqs, phz, rhlAB, all of which are designed to cripple Eukaryotic cells including PMNs and macrophages. Our comparative analysis supports the view that QS plays a major role in mechanisms by which P. aeruginosa evades host defense systems.

Publication Title

Pseudomonas aeruginosa recognizes and responds aggressively to the presence of polymorphonuclear leukocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23878
Genome Wide Expression Analysis of Middle Eastern Colorectal Cancer Reveals FOXM1 as a Novel Target for Cancer Therapy
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to identify potential genes that may play an important role in progression of colorectal carcinoma, we screened and validated the global gene expression using cDNA expression array on 36 CRC tissues and compared with 24 non-cancerous colorectal tissue.

Publication Title

Genome-wide expression analysis of Middle Eastern colorectal cancer reveals FOXM1 as a novel target for cancer therapy.

Sample Metadata Fields

Sex

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accession-icon GSE56852
Gene expression profiling from pooled samples of subcutaneous adipose tissue of NAPE-WT or NAPE-KO mice fed either with a control diet or a high-fat diet.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mice knocked-out or wild type for the NAPE PLD gene specifically in adipose tissue, were recruited for this expression profiling experiment. Each group of mice (WT versus cKO) were fed with a control diet or a high fat diet. Then mice were sacrificed and adipose tissue samples form the subcutaneous adipose tissue were processed for RNA extraction. Total RNA of each sample was then pooled with those of the same group and treatment for microarray hybridization.

Publication Title

Adipose tissue NAPE-PLD controls fat mass development by altering the browning process and gut microbiota.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP071332
Expression profiling of IL-13 stimulated PBMCs with and without an IL-13R antagonist
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

This experiment aims to identify the biological pathways and diseases associated with the cytokine Interleukin 13 (IL-13) using gene expression measured in peripheral blood mononuclear cells (PBMCs). Overall design: The experiment comprised of samples obtained from 3 healthy donors. The expression profiles of in vitro IL-13 stimulation were generated using RNA-seq technology for 3 PBMC samples at 24 hours. The transcriptional profiles of PBMCs without IL-13 stimulation were also generated to be used as controls. An IL-13R-alpha antagonist (Redpath et al. Biochemical Journal, 2013) was introduced into IL-13 stimulated PBMCs and the gene expression levels after 24h were profiled to examine the neutralization of IL-13 signaling by the antagonist.

Publication Title

Combining multiple tools outperforms individual methods in gene set enrichment analyses.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE153195
Metabolomic and Transcriptomic Signatures of Prenatal Excessive Methionine in Mice Support Nature Rather than Nurture in the Pathogenesis and Therapy of Schizophrenia
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Abstract: The imbalance of prenatal micronutrients may perturb one-carbon (C1) metabolism and increase the risk for neuropsychiatric disorders. Prenatal excessive methionine (MET) produces in mice behavioral phenotypes reminiscent of human schizophrenia. Whether in-utero programming or early life caregiving mediate these effects is, however, unknown. Here, we show that the behavioral deficits of MET are independent of the early life mother-infant interaction. We also show that MET produces in early life profound changes in the brain C1 pathway components as well as glutamate transmission, mitochondrial function, and lipid metabolism. Bioinformatics analysis integrating metabolomics and transcriptomic data reveal dysregulations of glutamate transmission and lipid metabolism, and identify perturbed pathways of methylation and redox reactions. Our transcriptomics Linkage analysis of MET mice and schizophrenia subjects reveals master genes involved in inflammation and myelination. Finally, we identify potential metabolites as early biomarkers for neurodevelopmental defects and suggest new therapeutic targets for schizophrenia.

Publication Title

Metabolomic and transcriptomic signatures of prenatal excessive methionine support nature rather than nurture in schizophrenia pathogenesis.

Sample Metadata Fields

Specimen part

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accession-icon SRP136102
Systemic Lupus Erythematosus patient blood with controls
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The experiment consists of 31 Systemic Lupus Erythematosus patient blood samples and 29 healthy donor blood samples. Overall design: Whole blood was collected in PaxGene tubes from 31 SLE and 29 healthy donors.

Publication Title

Machine learning applied to whole-blood RNA-sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP147931
Determination of global decay rates of yeast transcriptome and identification of factors impact mRNA stability
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this work, we determine total mRNA decay rates in rpb1-1 and rpb1-1/caf1? cells, calculate half-lives in rpb1-1/caf1? cells relative to rpb1-1 cells and correlate them with codon optimality. Overall design: mRNA profiling was done on 10 time points in rpb1-1/caf1 cells and sequenced using a paired end protocol on an Illumina HiSeq2000 instrument. A biological duplicate was performed.

Publication Title

mRNA Deadenylation Is Coupled to Translation Rates by the Differential Activities of Ccr4-Not Nucleases.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE85756
BPTF Depletion Enhances NK Cell Mediated Antitumor Immunity
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In mouse models, the bromodomain PHD finger transcription factor (BPTF) chromatin remodeling subunit in tumor cells suppresses natural killer (NK) cell antitumor activity.

Publication Title

BPTF Depletion Enhances T-cell-Mediated Antitumor Immunity.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE36427
KLF1, KLF2 and c-myc control a regulatory network essential for embryonic erythropoiesis
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The Krppel-like factors, KLF1 and KLF2, positively regulate embryonic -globin expression, and have additional overlapping roles in embryonic (primitive) erythropoiesis. KLF1-/-KLF2-/- double knockout mice are anemic at embryonic day 10.5 (E10.5) and die by E11.5, in contrast to single knockouts. To investigate the combined roles of KLF1 and KLF2 in primitive erythropoiesis, expression profiling of E9.5 erythroid cells was performed. A limited number of genes had a significantly decreasing trend of expression in wild-type, KLF1-/- and KLF1-/-KLF2-/-. Among these, c-myc emerged as a central node in the most significant gene network. c-myc expression is synergistically regulated by KLF1 and KLF2, and both factors bind the c-myc promoters. To characterize the role of c-myc in primitive erythropoiesis, ablation was performed specifically in mouse embryonic proerythroblast cells. After E9.5, these embryos exhibit an arrest in the normal expansion of circulating red cells and develop anemia analogous to KLF1-/-KLF2-/-. In the absence of c-myc, circulating erythroid cells do not show the normal increase in - and -like globin expression, but interestingly, have accelerated erythroid maturation, between E9.5 and E11.5. This study reveals a novel regulatory network by which KLF1 and KLF2 regulate c-myc, to control the primitive erythropoietic program.

Publication Title

Kruppel-like factor 1 (KLF1), KLF2, and Myc control a regulatory network essential for embryonic erythropoiesis.

Sample Metadata Fields

Specimen part

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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