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Deep dissection of the antiviral immune profile of patients with COVID-19
UMB Dataset

UID: 180

Author(s): Djordje Atanackovic*, Stephanie V. Avila, Forat Lutfi, Diego de Miguel-Perez, Xiaoxuan Fan, Gabriela Sanchez-Petitto, Erica Vander Mause, Jonathan Siglin, John Baddley, Heather D. Mannuel, Hanan Alkhaldi, Kim G. Hankey, Rena Lapidus, Michael Kleinberg, Joseph Rabin, Carl Shanholtz, Christian Rolfo, Aaron P. Rapoport, Saurabh Dahiya, Tim Luetkens * Corresponding Author
Description
This dataset collected 40 ml of heparinized blood from 20 COVID-19 patients who were admitted to the University of Maryland Medical Center between June and August of 2020. Plasma samples were collected at a median of 10 or 7 days, dependent on the patient's risk group. Samples were analyzed using full-length recombinant protein in an enzyme-linked immunosorbent assay (ELISA). Antibodies were screened against 9 different SARS-CoV-2 proteins. Responses were observed against the spike (S) proteins, the receptor-binding domain (RBD), and the nucleocapsid (N) protein which were of the IgG1 and IgG3 subtypes. Studies using this dataset aim to identify the most relevant component of the anti-SARS-CoV-2 humoral immune response and enable researchers to design more meaningful immunomonitoring methods for anti-COVID19 vaccines.
Timeframe
2020
Subject of Study
Subject Domain
Keywords
Access via Corresponding author

Data that support the findings of this study

Access via Supplementary Data 1

Data used for analyses and figures

Access Restrictions
Unrestricted access
Access Instructions
The data that support the findings of this study are available from the corresponding author upon reasonable request and all the data used for analyses and figures are available as part of the Supplementary Materials as a data set named Supplementary Data 1.
Associated Publications
Data Type
Software Used
FCS Express 7
Prism 9
Study Type
Observational
Dataset Size
71KB