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accession-icon SRP095855
A protective function of IL-22BP in acute liver injury
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Acute liver injury is a critical life-threatening event. Common causes are infections, intoxication, and ischemic conditions. The cytokine Interleukin 22 (IL-22) has been implicated in this process. However, the role of IL-22 during acute liver damage is controversial, since both protective and pathogenic properties have been reported. IL-22 binding protein (IL-22BP, IL-22Ra2), a soluble endogenous inhibitor of IL-22, is able to regulate IL-22 activity, and thus might explain some of the controversial findings. Since the role of IL-22BP in liver injury is unknown, we used Il22bp deficient mice and mouse models for acute liver damage to address this point. We found that Il22bp deficient mice were more susceptible to ischemia- and acetaminophen- induced liver damage. Deficiency of Il22bp caused increased hepatic damage and delayed liver regeneration. Using an unbiased approach, we found that IL-22, if uncontrolled in Il22bp deficient mice, induced Cxcl10 expression by hepatocytes, thereby recruiting inflammatory CD11b+Ly6C+ monocytes into the liver upon liver damage. Accordingly, neutralization of Cxcl10 reversed the increased disease susceptibility of Il22bp deficient mice. In conclusion, our data suggest dual functions of IL-22 in acute liver damage, and highlight the need to control IL-22 activity via IL-22BP. Overall design: RNA sequencing of RNA isolated from liver tissue from mice that underwent liver reperfusion treatment (IR) or sham surgery, in triplicate for three genotypes (Wt, Il22-/- and Il22bp-/-).

Publication Title

A Protective Function of IL-22BP in Ischemia Reperfusion and Acetaminophen-Induced Liver Injury.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP028333
RNA sequencing of pheromone stimulated and unstimulated MATa and MATa Saccharomyces cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATa. Mating occurs when two haploid cells of opposite mating types signal to each other using reciprocal pheromones and receptors, polarize and grow towards each other, and eventually fuse to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering “transvestite” cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells can mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATa-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. We show that strong pheromone secretion is essential for efficient mating and that the weak mating of transvestites can be improved by boosting their pheromone production. Using synthetic biology, it is possible to characterize the factors that control efficiency in biological processes. In the case of budding yeast mating, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more (potentially fitter) and less (potentially less fit) pheromones. This sensitivity to which partner makes more pheromone comes at a cost: it means mating is not robust in situations where all potential partners make less pheromone. Overall design: 4 conditions were analysed, each with 3 biological replicates. The conditions were unstimulated MATa cells in YPD. Stimulated MATa cells in YPD+10nM a-factor. Unstimulated MATa cells in YPD. Stimulated MATa cells in YPD+10nM a-factor.

Publication Title

Genetically engineered transvestites reveal novel mating genes in budding yeast.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE20030
Expression Data from BALB/c and Stat6-deficient bone marrow derived macrophages (BMDM)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to find Stat6 dependent genes in control and IL-4 exposed bone marrow derived macrophages.

Publication Title

Alternatively activated macrophages inhibit T-cell proliferation by Stat6-dependent expression of PD-L2.

Sample Metadata Fields

Specimen part

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accession-icon GSE92428
Expression data from mRNA in complex with EGFR from irradiated human A549 (ATCC CCL185) cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Immunoprecipitation of EGFR from irradiated A549 (ATCC CCL185) cells was performed in order to characterize bound mRNA species with the help of microarray analysis

Publication Title

New roles for nuclear EGFR in regulating the stability and translation of mRNAs associated with VEGF signaling.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE35478
Characterization of colon cancer cells: a functional approach characterizing CD133 as a potential stem cell marker
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Isolation and characterization of tumourigenic colon cancer initiating cells may help to develop novel diagnostic and therapeutic procedures. Methods: We characterized a panel of fourteen human colon carcinoma cell lines and their corresponding xenografts for the surface expression of different potential stem cell markers: CD133, CD24, CD44, CDCP1 and CXCR4. In five cell lines and nine xenografts mRNA expression of the investigated markers was determined. Tumour growth behaviour of CD133+, CD133- and unsorted SW620 cells was evaluated in vivo. Results: All surface markers showed distinct expression patterns in the examined tumours. Analyses of the corresponding xenografts revealed a significant reduction of cell numbers expressing the investigated markers. CD44 and CXCR4 mRNA expression correlated within the cell line panel and CD44 and CDCP1 within the xenograft panel, respectively. Small subpopulations of double and triple positive cells could be described. SW620 showed significantly higher take rates and shorter doubling times in vivo when sorted for CD133 positivity. Conclusion: Our data support the hypothesis of a small subset of cells with stem cell-like properties characterized by a distinct surface marker profile. In vivo growth kinetics give strong relevance for an important role of CD133 within the mentioned surface marker profile.

Publication Title

Characterization of colon cancer cells: a functional approach characterizing CD133 as a potential stem cell marker.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE22772
Expression data from U373 cells expressing EGFP, MAML1-dn and DTX1-myc
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Glioblastoma multiforme (GBM) is the most malignant and most common tumor of the central nervous system characterized by rapid growth and extensive tissue infiltration. GBM results in more years of life lost than any other cancer type. Notch signaling has been implicated in GBM pathogenesis through several modes of action. Inhibition of Notch leads to a reduction of cancer-initiating cells in gliomas and reduces proliferation and migration. Deltex1 (DTX1) is part of an alternative Notch signaling pathway distinct from the canonical MAML1/RBPJ-mediated cascade. In this study, we show that DTX1 activates both the RTK/PI3K/PKB as well as the MAPK/ERK pathway. Moreover, we found the anti-apoptotic factor Mcl-1 to be induced by DTX1. In accordance with this, the clonogenic potential and proliferation rates of glioma cell lines correlated with DTX1 levels. DTX1 knock down mitigated the tumorigenic potential in vivo, and overexpression of DTX1 increased cell migration and invasion of tumor cells accompanied by an elevation of the pro-migratory factors PKB and Snail1. Microarray gene expression analysis identified a DTX1-specific transcriptional program - including microRNA-21 - which is distinct from the canonical Notch signaling. We propose the alternative Notch pathway via DTX1 as oncogenic factor in malignant glioma and found low DTX1 expression levels to correlate with prolonged survival of GBM and early breast cancer patients in open source databases.

Publication Title

Deltex-1 activates mitotic signaling and proliferation and increases the clonogenic and invasive potential of U373 and LN18 glioblastoma cells and correlates with patient survival.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP074739
Ileal pouch transcriptomics reveal shared pathogenesis between pouchitis and ulcerative colitis
  • organism-icon Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

UC pouchitis is a potential model of UC. We prospectively examined the pouch transcriptomes of UC and familial adenomatous polyposis (FAP) IPAA patients to unveil molecular mechanisms of UC pouchitis susceptibility. Methods: Total RNA was isolated using the AllPrep DNA/RNA Mini Kit (QIAGEN, Cat No. 8020). RNA quality was evaluated using Bioanalyzer (Agilent, Santa Clara, CA). All RNA samples displayed RNA Integrity Number (RIN) >7. RNAseq including cDNA library preparation was processed at the Genomics Core Facility of University of Chicago (https://fgf.uchicago.edu/). Total RNA in the amount of 100-500µg per sample was depleted of ribosomal RNA using the Ribo-Zero kit (Epicentre, Madison, WI). The directional (first strand) cDNA libraries were prepared following the guide of TruSeq Stranded Total RNA Sample Preparation kit. Results: Unlike FAP patients, UC subjects exhibited a large set of differentially expressed genes (DEGs) between pouch and pre-pouch mucosa as early as 4 months after pouch functionalization. Functional pathway analysis of DEGs in UC pouch revealed: (1) Gain of colon-associated gene expressions and loss of ileum associated gene expressions, (2) enhanced state of immune/inflammatory response, and (3) suppressed xenobiotic, lipid, and bile acid metabolic pathways. These changes were corroborated upon reanalysis of a published larger cross-sectional study of UC and FAP patients. Moreover, >70% of DEGs mapped to published IBD and normal colonic microarray datasets displayed directional changes consistent with active UC, but not Crohn''s disease. Conclusions: UC patients exhibit a unique transcriptomic response to ileal pouch creation that can be observed well before disease. The transcriptome alterations provide insights into pouchitis Overall design: Seventeen patients with UC and four patients with FAP were recruited at the University of Chicago and the Mayo Clinic Rochester. All patients underwent a total proctocolectomy with ileal pouch anal anastomosis (IPAA) as a standard of care. UC patients underwent a pouchoscopy for biopsy of the pre-pouch ileum and pouch at 4 months, 8 months, and 12 months after ileostomy closure. None of these patients had pouchitis.

Publication Title

Early Transcriptomic Changes in the Ileal Pouch Provide Insight into the Molecular Pathogenesis of Pouchitis and Ulcerative Colitis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Race, Subject

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accession-icon GSE13837
Adapted Boolean Network Models for Extracellular Matrix Formation
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background

Publication Title

Adapted Boolean network models for extracellular matrix formation.

Sample Metadata Fields

Sex, Age

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accession-icon GSE12021
Identification of inter-individual and gene-specific variances in mRNA expression profiles in the RA SM
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background. Rheumatoid arthritis (RA) is a chronic inflammatory and destructive joint disease, characterized by overexpression of pro-inflammatory/-destructive genes and other activating genes (e.g., proto-oncogenes) in the synovial membrane (SM). The gene expression in disease is often characterized by significant inter-individual variances via specific synchronization/ desynchronization of gene expression. To elucidate the contribution of the variance to the pathogenesis of disease, expression variances were tested in SM samples of RA patients, osteoarthritis (OA) patients, and normal controls (NC).

Publication Title

Identification of intra-group, inter-individual, and gene-specific variances in mRNA expression profiles in the rheumatoid arthritis synovial membrane.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon GSE7676
Changes in gene expression following Protocadherin 12 knockout
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Protocadherin 12 (Pcdh12) is a transmembrane adhesive protein with homophilic adhesive properties and expressed in endothelial cells, the glycogen trophoblast cells of the placenta, and the mesangial cells of kidney glomeruli. Pcdh12-deficient mice are alive although they show alterations in placenta development.

Publication Title

Protocadherin 12 deficiency alters morphogenesis and transcriptional profile of the placenta.

Sample Metadata Fields

Sex

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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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