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accession-icon GSE18208
Acute ethanol exposure time-course in Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Increased ethanol intake, a major predictor for the development of alcohol use disorders, is facilitated by the development of tolerance to both the aversive and pleasurable effects of the drug. The molecular mechanisms underlying ethanol tolerance development are complex and are not yet well understood. To identify genetic mechanisms that contribute to ethanol tolerance, we examined the time course of gene expression changes elicited by a single sedating dose of ethanol in Drosophila.

Publication Title

Ethanol-regulated genes that contribute to ethanol sensitivity and rapid tolerance in Drosophila.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE25988
Expression data from Drosophila dLmo (EP1306 and BxJ) mutants
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The Drosophila gene dLmo encodes a transcriptional regulator involved in wing development and behavioral responses to cocaine and ethanol.

Publication Title

An evolutionary conserved role for anaplastic lymphoma kinase in behavioral responses to ethanol.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE82337
Early Subclinical Inflammation Correlates with Outcomes in Positive Crossmatch Kidney Allografts
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The aim of this study was to investigate correlations between early subclinical findings (10 and 90 day histology and gene expression data) and late outcomes (transplant glomerulopathy and graft loss) in positive crossmatch kidney transplants (+XMKTx).

Publication Title

Early subclinical inflammation correlates with outcomes in positive crossmatch kidney allografts.

Sample Metadata Fields

Specimen part

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accession-icon GSE22459
Fibrosis with Inflammation at One Year Predicts Transplant Functional Decline
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We previously observed reduced graft survival for kidney transplants having interstitial fibrosis with subclinical inflammation, but not fibrosis alone, on 1-year protocol biopsy. The current study aimed to determine whether fibrosis with inflammation at 1 year is associated with renal functional decline in a low-risk transplant cohort and to characterize the nature of the inflammation. Subjects were living-donor, tacrolimus/mycophenolate-treated transplant recipients without overt risk factors for reduced graft survival (n=151). Transplants with normal histology (n=86) or fibrosis alone (n=45) on 1-year protocol biopsy had stable renal function between 1 and 5 years, while those having fibrosis with inflammation (n=20) had declining glomerular filtration rate and reduced graft survival. Immunohistochemistry confirmed increased interstitial T-cells and macrophages/dendritic cells in the fibrosis with inflammation group. Gene expression was performed on a subset of biopsies in each group and demonstrated increased expression of transcripts related to innate and cognate immunity in transplants having fibrosis with inflammation. Pathway- and pathological process-specific analyses of microarray profiles revealed that, in fibrosis with inflammation, over-expressed transcripts were enriched for potentially damaging immunological activities including Toll-like receptor signaling, antigen presentation/dendritic cell maturation, interferon gamma-inducible response, cytotoxic T lymphocyte-associated and acute rejection-associated genes. Thus, fibrosis with inflammation in 1-year protocol biopsies is associated with reduced graft survival and function and with a rejection-like gene expression signature even in recipients with no clinical risk for inferior outcome. Early interventions aimed at altering rejection-like inflammation may favor improved long-term KTx survival.

Publication Title

Fibrosis with inflammation at one year predicts transplant functional decline.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34748
Intragraft Gene Expression in Positive Crossmatch Kidney Allografts: Ongoing Inflammation Mediates Chronic Antibody-Mediated Injury
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied intragraft gene expression profiles of positive crossmatch (+XM) kidney transplant recipients who develop transplant glomerulopathy (TG) and those who do not. Whole genome microarray analysis and quantitative rt-PCR for 30 transcripts were performed on RNA from protocol renal allograft biopsies in 3 groups: 1) +XM/TG+ biopsies before and after TG; 2) +XM/NoTG; and 3) negative crossmatch kidney transplants (control). Microarray comparisons showed few differentially expressed genes between paired biopsies from +XM/TG+ recipients before and after the diagnosis of TG. Comparing +XM/TG+ and control groups, significantly altered expression was seen for 2,447 genes (18%) and 3,200 genes (24%) at early and late time points, respectively. Canonical pathway analyses of differentially expressed genes showed inflammatory genes associated with innate and adaptive immune responses. Comparing +XM/TG+ and +XM/NoTG groups, 3,718 probe sets were differentially expressed but these were over-represented in only 4 pathways. A classic accommodation phenotype was not identified. Using rt-PCR, the expression of inflammatory genes was significantly increased in +XM/TG+ recipients compared to control biopsies and to +XM/NoTG biopsies. In conclusion, pre-transplant DSA results in a gene expression profile characterized by inflammation and cellular infiltration and the majority of XM+ grafts are exposed to chronic injury.

Publication Title

Intragraft gene expression in positive crossmatch kidney allografts: ongoing inflammation mediates chronic antibody-mediated injury.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE97780
Molecular changes in kidney allografts after simultaneous liver-kidney compared with solitary kidney transplantation
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The aim of this study was to investigate correlations between early subclinical findings (10 and 90 day histology and gene expression data) and late outcomes (transplant glomerulopathy and graft loss) in positive crossmatch kidney transplants (+XMKTx).

Publication Title

Unique molecular changes in kidney allografts after simultaneous liver-kidney compared with solitary kidney transplantation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE7392
Molecular Evidence of Injury and Inflammation in Normal and Fibrotic Renal Allografts One Year Post-Transplant
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction. Factors contributing to kidney transplant fibrosis remain incompletely understoodparticularly in the absence of acute complications.

Publication Title

A meta-analysis of kidney microarray datasets: investigation of cytokine gene detection and correlation with rt-PCR and detection thresholds.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE44851
Comparative gene expression profiles of immune inhibitory and non-inhibitory melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Dysfunction in type I interferon (IFN) signaling occurs in patients with stage II or more advanced cancer. After screening the effects of a panel of 12 melanoma cell lines on PBMCs of healthy volunteers of IFNalpha signal pathway, two groups of melanoma cell lines could be identified one with stronger suppression (low pSTAT-1 group) than the other (high pSTAT-1 group). Comparative global gene expression between two groups identified 6771 differential expression genes. This gene list indicated down regulation of IFNalpha signal in immune suppressive melanoma cells. To evaluate this gene list for predictive power on IFNalpha signal modulatory function, we analyzed gene expression 41 independent melanoma cell lines and heat map clusters these cell lines into two groups, one with strong immune suppressive function and other with less effect.

Publication Title

Melanoma NOS1 expression promotes dysfunctional IFN signaling.

Sample Metadata Fields

Disease, Disease stage, Cell line

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accession-icon GSE92466
Inherited human IRAK-1 deficiency selectively abolishes TLR signaling in fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We describe here a male infant with a 100 kb de novo Xq28 deletion encompassing parts of the TMEM187 and MECP2 protein-coding genes and the IRAK1 protein-coding gene, as well as the MIR3202-1, MIR3202-2, and MIR718 RNA-coding genes. We analyzed the impact of human IRAK-1 deficiency on a genome-wide gene expression in human fibroblasts in response to TLR2/6, TLR4 agonists as well as to IL-1 and TNF-, using primary fibroblasts from healthy controls and IRAK-4-, MyD88- and MECP2-deficient patients for comparison.

Publication Title

Inherited human IRAK-1 deficiency selectively impairs TLR signaling in fibroblasts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE49632
TLR2/6 agonists and IFNlambda induce CXCL10 from melanoma
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Melanoma is the most lethal form of skin cancer. Clinical efforts to combat melanoma include immune therapies whose benefit depends on antitumor T-cells, to target and to clear melanoma. However, most tumors lack significant immune infiltration prior to therapy, and some immune therapies are hindered by a persistent lack of immune-cell infiltration. Chemokines can promote T-cell migration into tumors; therefore, agents that induce T-cell attracting chemokines in the tumor microenvironment could potentially improve the clinical activity of current immune therapies for melanoma. CXCL10 has been implicated as a critical chemokine supporting T-cell infiltration into the tumor microenvironment. Here we report that combination treatment of human melanoma cell lines with Toll-like receptor (TLR) 2/6 agonists MALP-2 or FSL-1 +IFNlambda synergize to induce production of immune-cell attracting chemokines CCL3 and CXCL10 by melanoma cells. We find that TLR2 and TLR6 are widely expressed on human melanoma cells, and that stimulation of fresh patient melanoma specimens with TLR2/6 agonists+IFNlambda induces CXCL10 production from melanoma cells, endothelial and immune-cells. Furthermore, ex vivo migration assays demonstrate that stimulation of melanoma cells with TLR2/6 agonists+IFNlambda increases CD4+ and CD8+ T-cell migration toward melanoma. Collectively, these data identify a novel synergy of TLR2/6 agonists+IFNlambda for inducing CXCL10 production by melanoma cells and suggest that intralesional administration of TLR2/6 agonists+IFNlambda may improve immune signatures in melanoma metastases and have value in combination with other immune therapies, by supporting better T-cell migration to melanoma.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage, 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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