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accession-icon GSE6497
Expression profile of syngeneic (sTX) and allogeneic kidney (aTX) transplantation compared to control (ctr) kidneys
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Microarray analyses provide a powerful approach to identify gene expression alterations following kidney transplantation. However, the heterogeneity of human kidney transplant specimens and the variation in sample preparation precludes conclusions regarding the underlying mechanisms of the observed alterations. We used a well defined experimental rat kidney transplantation model with consistent transplant and sample preparation procedures to analyze genome wide changes in gene expression after syngeneic (sTX) and allogeneic transplantation (aTX) four days after transplantation. Both interventions were associated with dramatic changes in gene expression. Genes and Pathways related to immune response were extremely up regulated after aTX. Several of the up regulated genes have been described by other groups and we are able to proof this in one study. But several genes are reported for the first time to be up regulated in expression after renal aTX. The function of these genes in acute rejection process has to be evaluated. On the other hand the up regulation of regulatory or protective genes indicates that regulatory mechanism are activated after aTX trying to down regulate the immune response or protect the tissue against the immune system. The study is capable to serve as a representative study in aTX mediated gene expression by covering the known transcriptional changes reported by other groups and identification of novel markers and pathways. Further analysis of the duplicated datasets by other groups can help for a better understanding of the mechanisms mediated by acute rejection and thereby increase the therapeutic threatment.

Publication Title

Activation of counter-regulatory mechanisms in a rat renal acute rejection model.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65370
Eicosapentaenoic and docosahexaenoic acid-enriched high fat diet delays the development of fatty liver in mice.
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To investigate the effects of quality of fat in a high fat diet (HFD) over time on hepatic lipid storage and transcriptome in mice.

Publication Title

Eicosapentaenoic and docosahexaenoic acid-enriched high fat diet delays the development of fatty liver in mice.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon GSE22532
Identifying Molecular Effects of Diet through Systems Biology: Influence of Herring Diet on Sterol Metabolism and Protein Turnover in Mice
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Identifying molecular effects between herring and beef diet in Ldlr-/- mice

Publication Title

Identifying molecular effects of diet through systems biology: influence of herring diet on sterol metabolism and protein turnover in mice.

Sample Metadata Fields

Specimen part

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accession-icon SRP080924
Transcriptome sequencing of K-562 cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We analyzed the global effect of c-Myb knockdown by sequencing the transcriptomes of K-562 cells transfected with control siRNA and si2992 (MYB knockdown), as well as K-562 cells stably expressing TY-tagged wild type c-Myb and c-Myb D152V transfected with si2992 Overall design: Cells were tranfected with siRNA and 24 hours after total RNA was extracted. Three individual experiments were performed. Libraries were prepared and 125-bp paired-end reads were obtained using an Illumina HiSeq 2500 sequencer

Publication Title

A c-Myb mutant causes deregulated differentiation due to impaired histone binding and abrogated pioneer factor function.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE26941
CpG Oligodeoxynucleotides treatment of Anopheles mosquitoes
  • organism-icon Anopheles gambiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

In the present study, we have investigated the effect of CpG Oligodeoxynucleotides (CpG-ODN) on the outcome of Plasmodium infection of the mosquito vectors Anopheles stephensi and Anopheles gambiae and on the modulation of mosquito immunity to Plasmodium. Anopheles mosquitoes inoculated with CpG-ODN showed significant reduction of Plasmodium infection rate and intensity. Microarrays were used to profile transcription of fat-body from CpG-ODN-treated mosquitoes. Mosquitoes were dissected 18h after ODN inoculation (immediately before feeding). Batches of 20 to 30 fat bodies (abdomen without midgut, ovaries and malpighian tubule]) were dissected in cold DEPC-treated phosphate-buffered saline (PBS) and processed for RNA preparation. Mosquitoes treated with CpG-ODNs are less susceptible to Plasmodium infection. Transcription profile of fat body indicates that protection was associated with coagulation/wound healing, while melanization appears to be depressed.

Publication Title

CpG-containing oligodeoxynucleotides increases resistance of Anopheles mosquitoes to Plasmodium infection.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE21545
Biobank of Karolinska Endarterectomy (BiKE)
  • organism-icon Homo sapiens
  • sample-icon 223 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A biobank collection of carotid plaque samples taken from patients undergoing endarterectomy operations.

Publication Title

Prediction of ischemic events on the basis of transcriptomic and genomic profiling in patients undergoing carotid endarterectomy.

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE21142
Tobacco smoking transcriptional imprinting contributes to urothelial cancer
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Smoking is a major risk factor for Urothelial carcinoma (UC). However the complex mechanisms, how smoking promotes carcinogenesis and tumour progression, remain obscure. A microarray based approached was therefore performed to detect the smoking derived gene expression alteration in non-malignant and malignant urothelial tissues from patients with superficial or invasive UC. Smoking enhanced cell migration and response to tissue damages. In non-malignant tissues smoking induced immune response and altered the cytoskeleton. In urothelial carcinoma, smoking altered extracellular and chromosome structures. Smoking affected tissues from patients with invasive carcinomamore strongly, up-regulating particularly growth factors and oncogenes in non-malignant tissue of patients with invasive but not with superficial carcinoma. In former smokers, comparable changes were seen in tissues form patients with invasive disease while they were minor or reversed in tissue of patients with superficial disease. Best but not complete tissue repair was suggestedfor non-malignant tissue from patients with superficial tumours.

Publication Title

New insights into the influence of cigarette smoking on urothelial carcinogenesis: smoking-induced gene expression in tumor-free urothelium might discriminate muscle-invasive from nonmuscle-invasive urothelial bladder cancer.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE30483
Tissue-specific genetic regulation of splicing and expression
  • organism-icon Homo sapiens
  • sample-icon 343 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Sample Metadata Fields

Sex, Age

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accession-icon GSE30422
Tissue-specific genetic regulation of splicing and expression (exon-level)
  • organism-icon Homo sapiens
  • sample-icon 172 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Numerous genome-wide screens for polymorphisms that influence gene expression have provided key insights into the genetic control of transcription. Despite this work, the relevance of specific polymorphisms to in vivo expression and splicing remains unclear. We carried out the first genome-wide screen, to our knowledge, for SNPs that associate with alternative splicing and gene expression in human primary cells, evaluating 93 autopsy-collected cortical brain tissue samples with no defined neuropsychiatric condition and 80 peripheral blood mononucleated cell samples collected from living healthy donors. We identified 23 high confidence associations with total expression and 80 with alternative splicing as reflected by expression levels of specific exons. Fewer than 50% of the implicated SNPs however show effects in both tissue types, reflecting strong evidence for distinct genetic control of splicing and expression in the two tissue types. The data generated here also suggest the possibility that splicing effects may be responsible for up to 13 out of 84 reported genome-wide significant associations with human traits. These results emphasize the importance of establishing a database of polymorphisms affecting splicing and expression in primary tissue types and suggest that splicing effects may be of more phenotypic significance than overall gene expression changes.

Publication Title

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE30453
Tissue-specific genetic regulation of splicing and expression (gene-level)
  • organism-icon Homo sapiens
  • sample-icon 171 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Numerous genome-wide screens for polymorphisms that influence gene expression have provided key insights into the genetic control of transcription. Despite this work, the relevance of specific polymorphisms to in vivo expression and splicing remains unclear. We carried out the first genome-wide screen, to our knowledge, for SNPs that associate with alternative splicing and gene expression in human primary cells, evaluating 93 autopsy-collected cortical brain tissue samples with no defined neuropsychiatric condition and 80 peripheral blood mononucleated cell samples collected from living healthy donors. We identified 23 high confidence associations with total expression and 80 with alternative splicing as reflected by expression levels of specific exons. Fewer than 50% of the implicated SNPs however show effects in both tissue types, reflecting strong evidence for distinct genetic control of splicing and expression in the two tissue types. The data generated here also suggest the possibility that splicing effects may be responsible for up to 13 out of 84 reported genome-wide significant associations with human traits. These results emphasize the importance of establishing a database of polymorphisms affecting splicing and expression in primary tissue types and suggest that splicing effects may be of more phenotypic significance than overall gene expression changes.

Publication Title

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Sample Metadata Fields

Sex, Age

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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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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