Diagnosis of childhood bacterial and viral infection using host RNA expression
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ABSTRACT:
PROVIDER: PRJNA295175 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide analysis of transcriptional profiles in children <17 years of age with bacterial or viral infections or with clinical features suggestive of infection.
2016-08-29 | GSE72810 | GEO
Project description:Genome-wide analysis of transcriptional profiles in children <17 years of age with bacterial or viral infections or with clinical features suggestive of infection.
2016-08-29 | GSE72809 | GEO
Project description:Genome-wide analysis of transcriptional profiles in children <17 years of age with bacterial or viral infections or with clinical features suggestive of infection.
2016-08-29 | GSE80496 | GEO
Project description:Genome-wide analysis of transcriptional profiles in children <17 years of age with bacterial or viral infections or with clinical features suggestive of infection.
2016-08-29 | GSE80412 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2016-08-29 | GSE72829 | GEO
Project description:Goal of the experiment : Recurrence is a frequent phenomenon in intracranial childhood ependymomas. To understand this process, we investigated whether the gene expression profiling of matched ependymomas at diagnosis and at relapse could reveal key molecular events involved in tumor progression. To gain new insight in this process and identify mechanisms associated with recurrence, we compared the CGH profiles of local recurrences with the corresponding initial tumors. Brief description We analyzed 17 tumor samples at diagnosis and a total of 27 paired recurrences. Recurrences analyzed occurred after surgery only in 12 cases, surgery plus chemotherapy only in 9 cases and any treatment plus radiotherapy in 6 cases. We compared the level of CGH profile for each tumor at diagnosis and recurrence relative to normal commercial DNA using Agilent 4x44K Human CGH microarrays.
2011-06-20 | E-TABM-1023 | biostudies-arrayexpress
Project description:Host Gene Expression in Nasal and Blood Samples for the Diagnosis of Viral Respiratory Infection
| PRJNA483244 | ENA
Project description:Assessment of host gene expression is an emerging tool for the diagnosis of human infections. We compared nasal and blood samples for evaluation of the host transcriptomic response in children with acute respiratory syncytial virus (RSV), symptomatic and asymptomatic picornavirus (PV) infection, and virus-negative asymptomatic controls (Ctrls). RNA was extracted from nasal and blood samples and analyzed by microarray. Despite generally lower quality of nasal RNA, the number of genes detected in each sample type was equivalent. Nasal gene expression signal derived mainly from epithelial cells but also included a leukocyte contribution that was higher in samples from symptomatic children. The number of genes with increased expression in virus-infected children was comparable in nasal and blood samples, while nasal samples also had large numbers of genes with decreased expression, including many genes associated with ciliary function and assembly. Compared to symptomatic children, those with asymptomatic PV had fewer genes with increased or decreased expression in both sample types. Genes with increased expression in comparisons of symptomatic children versus Ctrls included genes associated with components of innate immunity and apoptosis. Children with RSV but not PV also had increased expression of genes related to the cell cycle. Using nested leave-one-pair-out cross-validation and supervised principal components analysis, we defined sets of genes whose expression patterns accurately classified subjects, with high area-under-the-curve values in receiver operating characteristic analysis. Our results support use of nasal samples to augment pathogen-based tests to diagnose viral respiratory infection.
2019-01-01 | GSE117827 | GEO
Project description:A pressing clinical challenge is identifying the etiologic basis of acute respiratory illness. Without reliable diagnostics, the uncertainty associated with this clinical entity leads to a significant, inappropriate use of antibacterials. Use of host peripheral blood gene expression data to classify individuals with bacterial infection, viral infection, or non-infection represents a complementary diagnostic approach. Patients with respiratory tract infection along with ill, non-infected controls were enrolled through the emergency department or undergraduate student health services. Whole blood was obtained to generate gene expression profiles. These profiles were then used to generate signatures of bacterial acute respiratory infection, viral acute respiratory infection, and non-infectious illness. 273 subjects were ascertained for this analysis. This included 88 patients with non-infectious illness, 115 with viral acute respiratory infection, and 70 with bacterial acute respiratory infection. Samples were obtained at the time of enrollment, which was at initial clinical presentation. Total RNA was extracted from human blood using the PAXgene Blood RNA Kit. Microarray data were generated using the GeneChip Human Genome U133A 2.0 Array. Microarrays were generated in two microarray batches with seven overlapping samples giving rise to 280 total microarray experiments.
2016-01-20 | E-GEOD-63990 | biostudies-arrayexpress
Project description:Viral infections are among the most common causes for fever without an apparent source (FWS) in young children; however, many febrile children are treated with antibiotics despite the absence of bacterial infection. Adenovirus, human herpesvirus 6 (HHV-6) and enterovirus are detected in children with FWS more often than other viral species. Virus and bacteria interact with pattern recognition receptors in circulating blood leukocytes and trigger specific host transcriptional programs that mediate immune response, and unique transcriptional signatures may be ascertained to discriminate between viral and bacterial causes for children with FWS. Microarray analyses were conducted on peripheral blood samples obtained from 51 pediatric patients with confirmed adenovirus, human herpesvirus 6 (HHV-6), enterovirus or bacterial infection. Whole blood transcriptional profiles could clearly distinguish febrile children from healthy controls, and febrile children with viral infections from afebrile children carrying the same virus. Molecular pathways regulating host immune response were the most affected in febrile children with infection. Pattern recognition programs were prominently activated in all febrile children with infection, while differential activation of transcriptional programs was observed among viral species. Interferon signaling pathway was uniquely activated in children with febrile viral infection, while a different set of pathways was uniquely activated in children with bacterial infection. Transcriptional signatures were identified and classified febrile children with viral or bacterial infection with 87% overall accuracy, an improvement from the current clinical practice of deducing from white blood cell (WBC) count status. Similar degree of accuracy was observed when we validated the signature probes on data sets from an independent study with different microarray platforms. The current study confirms the clinical utility of blood transcriptional analysis, suggests the composition of transcriptional signatures which can be used to ascertain the infectious etiology of febrile young children without an apparent source, thus limit the overuse of antibiotics on febrile children presenting with this common clinical complaint. Total RNA samples extracted from whole blood of young children were processed for hybridization onto Illumina Human-HT12 version 4 beadchips, and differential expression of the transcripts was analyzed between sick children with either viral or bacterial infection and healthy children.
2012-10-15 | E-GEOD-40396 | biostudies-arrayexpress