Abstract

In depth immunoprofiling of COVID-19 patients will be established to identify critical elements of the immune responses to the corona virus SARS-Co-V-2. This study is part of the IMPACC study group formed to conduct in depth analyses of samples from COVID-19 patients. Shared protocols for subject enrollment and sample collection have been established by the IMPACC study group to be collected across key time points of the disease. Our analysis will include broad phenotyping of cell subsets and transcriptional responses of critical patient samples. Results will be assessed with the IMPACC study group bioinformatics team for integration with results from IMPACC core facilities on the same samples such as bulk RNASeq, serum proteomics and metabolomics, DNA sequencing, and multiparameter single cell CyTOF of endotracheal aspirates. Our studies to clarify and elucidate critical pathways in COVID-19 pathogenesis and immune response will guide development of anti-viral therapeutics and vaccines to maximize resistance to the virus.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
3U19AI089992-09S3
Application #
10142165
Study Section
Program Officer
Dong, Gang
Project Start
2020-05-18
Project End
2021-11-30
Budget Start
2020-05-18
Budget End
2020-11-30
Support Year
9
Fiscal Year
2020
Total Cost
Indirect Cost

  Institution

Name
Yale University
Department
Neurology
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520

  Publications

Murray, Kristy O; Nolan, Melissa S; Ronca, Shannon E et al. (2018) The Neurocognitive and MRI Outcomes of West Nile Virus Infection: Preliminary Analysis Using an External Control Group. Front Neurol 9:111
Molony, Ryan D; Malawista, Anna; Montgomery, Ruth R (2018) Reduced dynamic range of antiviral innate immune responses in aging. Exp Gerontol 107:130-135
Martin-Gayo, Enrique; Cole, Michael B; Kolb, Kellie E et al. (2018) A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers. Genome Biol 19:10
Wang, Xiaomei; Malawista, Anna; Qian, Feng et al. (2018) Age-related changes in expression and signaling of TAM receptor inflammatory regulators in monocytes. Oncotarget 9:9572-9580
Cahill, Megan E; Conley, Samantha; DeWan, Andrew T et al. (2018) Identification of genetic variants associated with dengue or West Nile virus disease: a systematic review and meta-analysis. BMC Infect Dis 18:282
van Dijk, David; Sharma, Roshan; Nainys, Juozas et al. (2018) Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell 174:716-729.e27
Ordovas-Montanes, Jose; Dwyer, Daniel F; Nyquist, Sarah K et al. (2018) Allergic inflammatory memory in human respiratory epithelial progenitor cells. Nature 560:649-654
Mead, Benjamin E; Ordovas-Montanes, Jose; Braun, Alexandra P et al. (2018) Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types. BMC Biol 16:62
Avey, Stefan; Mohanty, Subhasis; Wilson, Jean et al. (2017) Multiple network-constrained regressions expand insights into influenza vaccination responses. Bioinformatics 33:i208-i216
Cahill, Megan E; Yao, Yi; Nock, David et al. (2017) West Nile Virus Seroprevalence, Connecticut, USA, 2000-2014. Emerg Infect Dis 23:708-710

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