E-GEOD-63142
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ABSTRACT:
PROVIDER: E-GEOD-63142 | ExpressionAtlas | 2014-12-01
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asthmatic (MMA) and severe asthmatic (SA) patients. Isolated fresh bronchial epithelial cells were placed into trizol for further analysis.
2014-07-01 | E-GEOD-43696 | biostudies-arrayexpress
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asthmatic (MMA) and severe asthmatic (SA) patients.
2014-07-01 | GSE43696 | GEO
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asmathic (notSA) and severe asthmatic (SA) patients. For demographics data, contact Dr.Sally Wenzel (wenzelse@upmc.edu)
2014-11-14 | GSE63142 | GEO
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asmathic (notSA) and severe asthmatic (SA) patients. For demographics data, contact Dr.Sally Wenzel (wenzelse@upmc.edu)
2019-05-01 | GSE130499 | GEO
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asmathic (notSA) and severe asthmatic (SA) patients. For demographics data, contact Dr. Sally Wenzel (wenzelse@upmc.edu)
2015-10-27 | GSE67940 | GEO
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asmathic (notSA) and severe asthmatic (SA) patients. For demographics data, contact Dr. Sally Wenzel (wenzelse@upmc.edu) Bronchoscopy with endobronchial epithelial brushing was performed as previously described (Chu et al., 2002; Zhao et al., 2011). Bronchial alveolar lavage fluids were spun down on 4000 g for 10 minutes. 0.5- 1X10^6 cells were stored in Trizol for RNA extraction. RNA in Trizol solution was extracted using the QIACube system (Qiagen, Valencia, CA). RNA quality was determined using the Agilent Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA), and only samples with an RIN higher than 7 used for microarray experiments.
2015-10-27 | E-GEOD-67940 | biostudies-arrayexpress
Project description:Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asmathic (notSA) and severe asthmatic (SA) patients. For demographics data, contact Dr.Sally Wenzel (wenzelse@upmc.edu) Bronchoscopy with endobronchial epithelial brushing was performed as previously described (Chu et al., 2002; Zhao et al., 2011). The bronchial brushings generally comprised >90% epithelial cells and were placed into Trizol for mRNA analysis. Total RNA extracted using Trizol according to the manufacturer's instructions. Cy3-CTP labeled RNA was prepared according to the standard Agilent protocol from 50ng total RNA. Labeled RNA was hybridized for 17 hr at 65 C on Agilent gene expression array. Arrays were washed according to the manufacturer's protocol. Slides were scanned immediately after washing on the Agilent DNA Microarray Scanner (G2505B) using one color scan setting for 4X44K array slides. Agilent Feature Extraction v10.7.3.1 was used with default parameters. Normalized signal intensity data are presented in the matrix. The data set was normalized by cyclic-LOESS with use of Bioconductor package as described previously (Wu W et. al. 2005)
2014-11-14 | E-GEOD-63142 | biostudies-arrayexpress
Project description:COVID-19 manifests itself in an array of symptoms. While most patients experience very mild-to-moderate symptoms, around one in five patients develop pneumonia coupled with severe respiratory distress. These patients require treatment in the intensive care units (ICU), however, most of the times, it leads to multi-organ dysfunction and death. Mass spectrometry based proteomics can help us to identify the precise pathophysiological pathways that get perturbed during the course of the disease. Our study involved a comprehensive proteome-wide investigation of COVID negative (n=20), non-severe (n= 18) and severe (n= 36) COVID-19 patients plasma samples. We categorized patients into severe and non-severe groups and conducted LFQ based discovery proteomics for unraveling differentially expressed proteins followed by pathway enrichment studies and validation of targets by targeted studies on a batch of longitudinal samples.
2021-04-01 | PXD022296 | Pride
Project description:Respiratory viral infections follow an unpredictable clinical course in young children ranging from a common cold to respiratory failure. The transition from mild to severe disease occurs rapidly and is difficult to predict. The pathophysiology underlying disease severity has remained elusive. There is an urgent need to better understand the immune response in this disease to come up with biomarkers that may aid clinical decision making. In a prospective study, flow cytometric and genome-wide gene expression analyses were performed on blood samples of 26 children with a diagnosis of severe, moderate or mild Respiratory Syncytial Virus (RSV) infection. Differentially expressed genes were validated using Q-PCR in a second cohort of 80 children during three consecutive winter seasons. FACS analyses were also performed in the second cohort and on recovery samples of severe cases in the first cohort. Severe RSV infection was associated with a transient but marked decrease in CD4+ T, CD8+ T, and NK cells in peripheral blood. Gene expression analyses in both cohorts identified Olfactomedin4 (OLFM4) as a fully discriminative marker between children with mild and severe RSV infection, giving a PAM cross-validation error of 0%. Patients with an OLFM4 gene expression level above -7.5 were 6 times more likely to develop severe disease, after correction for age at hospitalization and gestational age. In conclusion, by combining genome-wide expression profiling of blood cell subsets with clinically well-annotated samples, OLFM4 was identified as a biomarker for severity of pediatric RSV infection. Samples were taken of 26 patients with acute RSV infections, divided into mild (n=9), moderate (n=9) and severe (n=8) disease. From moderate and severe diseased patients recovery samples were obtained as well.
2015-06-06 | E-GEOD-69606 | biostudies-arrayexpress
Project description:Despite significant improvements in life expectancy of kidney transplant patients due to advances in surgery and immunosuppression, Chronic Allograft Nephropathy (CAN) remains a daunting problem. A complex network of cellular mechanisms in both graft and peripheral immune compartments complicates the non-invasive diagnosis of CAN, which still requires biopsy histology. This is compounded by non-immunological factors contributing to graft injury. There is a pressing need to identify and validate minimally invasive biomarkers for CAN to serve as early predictors of graft loss and as metrics for managing long-term immunosuppression. This study attempts to identify sets of unique transcript biomarkers with high predictive accuracy for both mild and moderate/severe CAN. These biomarkers are the necessary first step to a genomic classification of CAN based on peripheral blood and the targets for a prospective, serial-monitoring clinical study. Experiment Overall Design: We used DNA microarrays and bioinformatics to identify candidate genomic markers of mild and moderate/severe CAN in peripheral blood of two distinct cohorts (n=42 and n=35, respectively) of kidney transplant patients with biopsy-documented histology.
2009-07-19 | E-GEOD-12187 | biostudies-arrayexpress