Multimodal single-cell datasets characterize antigen-specific CD8+ T cells across SARS-CoV-2 vaccination and infection

© 2023. The Author(s)..

The immune response to SARS-CoV-2 antigen after infection or vaccination is defined by the durable production of antibodies and T cells. Population-based monitoring typically focuses on antibody titer, but there is a need for improved characterization and quantification of T cell responses. Here, we used multimodal sequencing technologies to perform a longitudinal analysis of circulating human leukocytes collected before and after immunization with the mRNA vaccine BNT162b2. Our data indicated distinct subpopulations of CD8+ T cells, which reliably appeared 28 days after prime vaccination. Using a suite of cross-modality integration tools, we defined their transcriptome, accessible chromatin landscape and immunophenotype, and we identified unique biomarkers within each modality. We further showed that this vaccine-induced population was SARS-CoV-2 antigen-specific and capable of rapid clonal expansion. Moreover, we identified these CD8+ T cell populations in scRNA-seq datasets from COVID-19 patients and found that their relative frequency and differentiation outcomes were predictive of subsequent clinical outcomes.

Errataetall:

UpdateOf: bioRxiv. 2023 Jan 24;:. - PMID 36747786

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Nature immunology - 24(2023), 10 vom: 11. Okt., Seite 1725-1734

Sprache:

Englisch

Beteiligte Personen:

Zhang, Bingjie [VerfasserIn]
Upadhyay, Rabi [VerfasserIn]
Hao, Yuhan [VerfasserIn]
Samanovic, Marie I [VerfasserIn]
Herati, Ramin S [VerfasserIn]
Blair, John D [VerfasserIn]
Axelrad, Jordan [VerfasserIn]
Mulligan, Mark J [VerfasserIn]
Littman, Dan R [VerfasserIn]
Satija, Rahul [VerfasserIn]

Links:

Volltext

Themen:

Antibodies, Viral
BNT162 Vaccine
COVID-19 Vaccines
Journal Article

Anmerkungen:

Date Completed 15.01.2024

Date Revised 15.01.2024

published: Print-Electronic

UpdateOf: bioRxiv. 2023 Jan 24;:. - PMID 36747786

Citation Status MEDLINE

doi:

10.1038/s41590-023-01608-9

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM362321892