Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human nasal epithelium from subjects infected with HRV-16 rhinovirus vs sham infected

ABSTRACT: This study provides a comprehensive evaluation of changes in gene expression during rhinovirus infections in vivo. Subjects were experimentally infected with HRV-16 rhinovirus (RV16) or sham infected (control). Nasal epithelial scrapings collected and processed for microarray analysis. Only subjects exhibiting rhinovirus infection were analyzed. Experiment Overall Design: Randomized, parallel group study. A total of 31 subjects was analyzed: 15 infected and 16 controls. Nasal scapings were taken 14 days prior to infection (d14) and 8 hours (d0) and 2 days (d2) after infection. For each collection, alternating nostrils were used (e.g. -14d = left, 8hr = right, 2d=left) and subjects were randomized for collection (e.g. LRL, RLR).

ORGANISM(S): Homo sapiens

SUBMITTER: Jay Patrick Tiesman

PROVIDER: E-GEOD-11348 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression profiles during in vivo human rhinovirus infection: insights into the host response.

Proud David D Turner Ronald B RB Winther Birgit B Wiehler Shahina S Tiesman Jay P JP Reichling Tim D TD Juhlin Kenton D KD Fulmer Andy W AW Ho Begonia Y BY Walanski Amy A AA Poore Cathy L CL Mizoguchi Haruko H Jump Lynn L Moore Marsha L ML Zukowski Claudine K CK Clymer Jeffrey W JW

American journal of respiratory and critical care medicine 20080724 9

<h4>Rationale</h4>Human rhinovirus infections cause colds and trigger exacerbations of lower airway diseases.<h4>Objectives</h4>To define changes in gene expression profiles during in vivo rhinovirus infections.<h4>Methods</h4>Nasal epithelial scrapings were obtained before and during experimental rhinovirus infection, and gene expression was evaluated by microarray. Naturally acquired rhinovirus infections, cultured human epithelial cells, and short interfering RNA knockdown were used to furthe ...[more]

PMID: 18658112

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Project description:Background: Understanding individual patient host-response to viruses is key to designing optimal personalized therapy. Indeed, a subjectM-bM-^@M-^Ys epigenetic, transcriptomic and proteomic profiles dynamically respond to environmental challenges according to their intrinsic specific genetics. Unsurprisingly, in vivo human experimentation to understand individualized dynamic response of the transcriptome to viruses are rarely studied because of the obviously limitations stemming from ethical considerations of the clinical risk. In this rhinovirus study, we first establish that ex vivo human cells response to virus can serve as proxy for otherwise controversial in vivo human experimentation of viral infection. We further demonstrate that the N-of-1-pathways framework, that we previously validated for single patient M-bM-^@M-^Xomics analyses in cancer, can be utilized to understand individualized ex vivo response to viral stress and inform clinicians involved in personalized therapeutics. Method: N-of-1-pathways, validated retrospectively in whole tumors and experimentally in cancer cell lines, is a framework designed for identifying deregulated pathways at the single patient level between two M-bM-^@M-^Xomics profiles. It computes a significance score for a list of given genesets, using the M-bM-^@M-^Xomics profiles of a mere two samples as input (e.g. normal/tumoral, pre/post-treatment). We hypothesized that its usage could be extended to virus exposed cells. Additionally, we developed the Similarity Venn Diagram, an efficient and deceptively simple method for comparing results expressed in an ontology organized as a directed acyclic graph. We extracted the peripheral blood of four human subjects, with and without an ex vivo infection to rhinovirus. Their deregulated pathways were compared to those of 9 human subjects prior and after intranasal inoculation M-bM-^@M-^\in vivoM-bM-^@M-^] with rhinovirus. Results: We compared the N-of-1-pathways results using two established cohort-level methodologies: GSEA and enrichment of differentially expressed genes. Results are significantly and biologically similar between in vivo and ex vivo studies, both at the genes and enriched pathways levels. ROC curves demonstrate that deregulated pathways identified by N-of-1-pathways in cells each single subject infected ex vivo recapitulate the biologically relevant pathways observed in vivo in a whole cohort. Conclusion: In the context of less than five published transcriptomes of human viral infections in vivo and one ex vivo, the latter can be supplemented by 2-sample analyses yielding increased insight in individualized response without clinical risks. PBMCs incubated with viruses: The live PBMCs had been isolated from blood samples collected from four human subjects under a protocol approved by The University of Arizona Internal Review Board. Whole blood was obtained from donors and placed in heparin tubes that were centrifuged according to standard protocols to obtain PBMCs, then each aliquoted in two paired samples. Each sample of the pair was subsequently exposed to and incubated with either (i) Human Rhinovirus serotype 16 obtained from the American Type Culture Collection (RV; ATCCM-BM-. VR-283; ex vivo infected sample), or to (ii) sterile medium (control ex vivo non-infected sample) and incubated at 35M-BM-0C. This protocol resulted in 4 ex vivo infected + 4 ex vivo controls = 8 paired samples. RNA was extracted from these samples, amplified, tagged and hybridized on Affymetrix Human Gene 1.0 ST microarrays according to standard operating procedures. Dataset and preprocessing: Robust Multiple-array Average (RMA) normalization was applied on each patient data independently (2 paired samples at a time, to avoid bias in the single-patient experiments) using Affymetrix Power Tools (APT)

Project description:41 volunteers (male non-smokers) were exposed to formaldehyde (FA) vapors for 4 h per day over a period of 5 working days under strictly controlled conditions. For each exposure day, different exposure concentrations were used in a random order ranging from 0 up to 0.7 ppm. At concentrations of 0.3 ppm and 0.4 ppm, four peaks of 0.6 or 0.8 ppm for 15 min each were applied. During exposure, subjects had to perform bicycle exercises (about 80 W) four times for 15 min. Blood samples, exfoliated nasal mucosa cells and nasal biopsies were taken before the first and after the last exposure. Nasal epithelial cells were additionally sampled 1, 2 and 3 weeks after the end of the exposure period. The alkaline comet assay, the sister chromatid exchange (SCE) test and the cytokinesis-block micronucleus test (CBMNT) were performed with blood samples. The micronucleus test (MNT) was also performed with exfoliated nasal mucosa cells. The expression (mRNA level) of the GSH-dependent formaldehyde dehydrogenase (FDH, identical to alcohol dehydrogenase 5; ADH5; EC 1.2.1.46) was measured in blood samples by quantitative real-time RT-PCR with TaqMan probes. DNA microarray analyses using a full-genome human microarray were performed on blood samples and nasal biopsies of selected subgroups with the highest FA exposure at different days. None of the tests performed showed a biologically significant effect related to FA exposure. Under the experimental conditions of this study, inhalation of FA did not lead to genotoxic effects in peripheral blood cells and nasal mucosa and had no effect on the expression of the FDH gene. Inhalation of FA also did not cause biologically relevant alterations in the expression of genes in a microarray analysis with nasal biopsies and peripheral blood cells. Gene expression analysis of nasal biopsies and blood samples before and after inhalation of 0.7ppm formaldehyde (0 h, 24 h, or 72 h before sampling), and of blood cells before and after exposure to 200µM formaldehyde for 4 hours.

Dataset Information

Transcription profiling of human nasal epithelium from subjects infected with HRV-16 rhinovirus vs sham infected

Publications

Gene expression profiles during in vivo human rhinovirus infection: insights into the host response.

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