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E-MEXP-2462
Mus musculus
12 Downloadable Samples
Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
B6D2F1 male mice at the age of 6 weeks were maintained for one week in a 12h light / 12 h dark (LD12:12) cycle (lights on from 7:00 am to 7:00 pm) and food and water ad libitum. Mice were then divided in two experimental groups which were further maintained for 3 weeks in the LD12 cycle and fed either at libitum or only during a 4 h period between 9:00 am and 1:00 pm. All animals were then implanted subcutaneously with a pancreatic P03 adenocarcinoma in both flanks. Tumour growth was monitored daily and twenty one days after innoculation, animals were transfered to constant darkness for 24h. Tumour samples were collected at the implantation site at circadian time (CT)4 and CT16.
Publication Title
Cancer inhibition through circadian reprogramming of tumor transcriptome with meal timing.
Sample Metadata Fields
Sex, Age, Specimen part, Time
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Experiment comparing the liver transcriptome from wild type and KLF10 deficient mice
Publication Title
Kruppel-like factor KLF10 is a link between the circadian clock and metabolism in liver.
Sample Metadata Fields
Sex, Age, Specimen part, Subject
View Samples- Homo sapiens
- 37 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Acute renal allograft rejection is an important complication in kidney transplantation. Accurate diagnosis of rejection events is necessary for timely response and treatment. We illustrate the usefulness and biological relevance of selected multivariate approaches to detect rejection from genomic and proteomic signals. The data was used to study gene expression changes using whole genome microarray analysis of peripheral blood from subjects with acute rejection (n=20) and non-rejecting controls (n=20) to obtain insight into the molecular and biological causation of acute renal allograft rejection when combined with proteomics (iTRAQ) data for the same patients/time-points.
Publication Title
Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.
Sample Metadata Fields
Sex, Specimen part, Race
View Samples- Homo sapiens
- 34 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To determine differential gene expression in peripheral blood of asthmatic individuals undergoing allergen inhalation challenge, post-challenge compared to pre-challenge
Publication Title
Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Detecting differential changes in the peripheral whole-blood transcriptome, post-challenge compared to pre-challenge; using non-globin reduced PAXgene (PAX.NGR) tubes
Publication Title
Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Detecting differential changes in the peripheral whole-blood transcriptome, post-challenge compared to pre-challenge; using globin reduced PAXgene (PAX.GR) tubes
Publication Title
Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 23 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Acute cardiac allograft rejection is a serious complication of heart transplantation. Investigating molecular processes in whole blood via microarrays is a promising avenue of research in transplantation, particularly due to the non-invasive nature of blood sampling. However, whole blood is a complex tissue and the consequent heterogeneity in composition amongst samples is ignored in traditional microarray analysis. This complicates the biological interpretation of microarray data. Here we have applied a statistical deconvolution approach, cell-specific significance analysis of microarrays (csSAM), to whole blood samples from subjects either undergoing acute heart allograft rejection (AR) or not (NR). We identified eight differentially expressed probe-sets significantly correlated to monocytes (mapping to 6 genes, all down-regulated in ARs versus NRs) at a false discovery rate (FDR) <= 15%. None of the genes identified are present in a biomarker panel of acute heart rejection previously published by our group and discovered in the same data.
Publication Title
White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays.
Publication Title
A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.
Sample Metadata Fields
Treatment, Subject
View Samples- Homo sapiens
- 529 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Background: COPD is currently the fourth leading cause of death worldwide and predicted to rank third by 2020. Statins are commonly used lipid lowering agents with documented benefits on cardiovascular morbidity and mortality, and have also been shown to have pleiotropic effects including anti-inflammatory and anti-oxidant activity. Objective: Identify a gene signature associated with statin use in the blood of COPD patients, and identify molecular mechanisms and pathways underpinning this signature that could explain any potential benefits in COPD. Methods: Whole blood gene expression was measured on 168 statin users and 452 non-users from the ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) study. Gene expression was measured using the Affymetrix Human Gene 1.1 ST microarray chips. Factor Analysis for Robust Microarray Summarization (FARMS) was used to process the expression data and to filter out non-informative probe sets. Differential gene expression analysis was undertaken using the Linear Models for Microarray data (Limma) package adjusting for propensity score and employing a surrogate variable analysis. Similarity of the expression signal with published gene expression profiles was performed in ProfileChaser. Results: 18 genes were differentially expressed between statin users and non-users at a false discovery rate of 10%. Top genes included LDLR, ABCA1, ABCG1, MYLIP, SC4MOL, and DHCR24. The 18 genes were significantly enriched in pathways and biological processes related to cholesterol homeostasis and metabolism, and were enriched for transcription factor binding sites for sterol regulatory element binding protein 2 (SREBP-2). The resulting gene signature showed correlation with Huntington disease, Parkinsons disease and acute myeloid leukemia. Conclusion: Statins gene signature was not enriched in any pathways related to respiratory diseases, beyond the drugs effect on cholesterol homeostasis.
Publication Title
The Effect of Statins on Blood Gene Expression in COPD.
Sample Metadata Fields
Sex, Age, Disease
View Samples