Work

T-cell repertoire response in individuals with post-acute sequelae of COVID-19

Year: 2026

Type: dataset

Abstract: This dataset contains longitudinal T cell repertoire sequence information from 120 individuals with and without post-acute sequelae of COVID-19. Sampling captured 2 to 3 time points per individual, during and after acute infection with COVID-19. Additionally, this repository contains SoNNia and IGoR model training outputs, which learn generation and selection models for the observed TCRs.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19836290

Authors: Montague, Zachary, Grover, Rhea M, Baumgartner, Andrew, Trofimov, Assya, Hadlock, Jennifer, Nourmohammad, Armita

Institutions: University of Washington, Fred Hutch Cancer Center, Yale University

Language: English

Topic: SARS-CoV-2 and COVID-19 Research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences