Abstract

RNA sequencing has quickly evolved to be a revolutionary tool for transcriptomics. Currently, it is one of the most sensitive and comprehensive tools for assessment of transcript abundance and variants in various biological samples. In this application, the RNA-seq Core will perform a vital role in performing transcriptomics and bioinformatic analyses of samples obtained from all projects.
The specific aims of the RNA-seq/Bioinformatics Core are to: 1. Perform RNA sequencing (RNA-seq) services for each of the projects. This includes sequencing of poly A+ RNA to quantify polyadenylated transcripts in tissues. 2. Perform bioinformatic analysis of the RNA-seq data. This would include relative RNA abundance, splice variation, and presence of non-human ORFs. Core Function: The core functions will be described in general terms and then in relation to the specific objectives listed above.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program Projects (P01)
Project #
1P01AI106684-01A1
Application #
8853015
Study Section
Special Emphasis Panel (ZAI1)
Project Start
2015-06-01
Project End
2020-05-31
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost

  Institution

Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213

  Publications

Oriss, Timothy B; Raundhal, Mahesh; Morse, Christina et al. (2017) IRF5 distinguishes severe asthma in humans and drives Th1 phenotype and airway hyperreactivity in mice. JCI Insight 2:
Das, Sudipta; Raundhal, Mahesh; Chen, Jie et al. (2017) Respiratory syncytial virus infection of newborn CX3CR1-deficent mice induces a pathogenic pulmonary innate immune response. JCI Insight 2:
Gauthier, Marc; Chakraborty, Krishnendu; Oriss, Timothy B et al. (2017) Severe asthma in humans and mouse model suggests a CXCL10 signature underlies corticosteroid-resistant Th1 bias. JCI Insight 2:
Modena, Brian D; Bleecker, Eugene R; Busse, William W et al. (2017) Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease. Am J Respir Crit Care Med 195:1449-1463
Ray, Anuradha; Kolls, Jay K (2017) Neutrophilic Inflammation in Asthma and Association with Disease Severity. Trends Immunol 38:942-954
Wenzel, Sally E; Tyurina, Yulia Y; Zhao, Jinming et al. (2017) PEBP1 Wardens Ferroptosis by Enabling Lipoxygenase Generation of Lipid Death Signals. Cell 171:628-641.e26
Trejo Bittar, Humberto E; Doberer, Daniel; Mehrad, Mitra et al. (2017) Histologic Findings of Severe/Therapy-Resistant Asthma From Video-assisted Thoracoscopic Surgery Biopsies. Am J Surg Pathol 41:182-188
Eddens, Taylor; Campfield, Brian T; Serody, Katelin et al. (2016) A Novel CD4+ T Cell-Dependent Murine Model of Pneumocystis-driven Asthma-like Pathology. Am J Respir Crit Care Med 194:807-820
Ray, Anuradha; Raundhal, Mahesh; Oriss, Timothy B et al. (2016) Current concepts of severe asthma. J Clin Invest 126:2394-403
Chen, Kong; Campfield, Brian T; Wenzel, Sally E et al. (2016) Antiinflammatory effects of bromodomain and extraterminal domain inhibition in cystic fibrosis lung inflammation. JCI Insight 1:

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