The use of microbiological cultures for diagnosing bacterial infections in young febrile infants have substantial limitations, including false positive and false negative cultures, and non-ideal turn-around times. Analysis of host genomic expression patterns (RNA biosignatures) in response to the presence of specific pathogens, however, may provide an alternate and potentially improved diagnostic approach. This study was designed to define bacterial and non-bacterial RNA biosignatures to distinguish these infections in young febrile infants.
Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger.
Sex, Age, Specimen part, Race
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesGenome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesGenome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesGenome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesIn this dataset, we included expression data obtained from 30 resected human PDAC tumors, to examine what genes are differentially expressed in different cohorts that might lead to various outcomes
Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.
Specimen part
View SamplesAbout 40% IBD patients treated with anti-TNF antibodies do not respond to therapy. Baseline biomarkers of response are therefore of interest. By combining computational deconvolution of gene expression and meta-analysis approaches we identified cellular biomarkers in tissue (validated in 2 cohorts by IHC of biopsies), and investigated associated gene biomarkers in blood. This dataset provides data from the validation cohort III (blood).
Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD.
Disease, Disease stage, Treatment, Subject, Time
View SamplesThis SuperSeries is composed of the SubSeries listed below. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and GSE104066. Corresponding glomerular transcriptome data can be found under GEO ID: GSE108109.
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part
View Samplessummary : Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47183 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part, Disease
View Samplessummary : Tubulointerstitial transcriptome from ERCB subjects with chronic kidney disease and living donor biopsies. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47184 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part, Disease
View Samples