Multimodal characterization of antigen-specific CD8 + T cells across SARS-CoV-2 vaccination and infection.
Bingjie ZhangRabi UpadhyayYuhan HaoMarie I SamanovicRamin Sedaghat HeratiJohn D BlairJordan E AxelradMark J MulliganDan R LittmanRahul SatijaPublished in: bioRxiv : the preprint server for biology (2023)
The human 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 utilize multimodal sequencing technologies to perform a longitudinal analysis of circulating human leukocytes collected before and after BNT162b2 immunization. Our data reveal distinct subpopulations of CD8 + T cells which reliably appear 28 days after prime vaccination (7 days post boost). Using a suite of cross-modality integration tools, we define their transcriptome, accessible chromatin landscape, and immunophenotype, and identify unique biomarkers within each modality. By leveraging DNA-oligo-tagged peptide-MHC multimers and T cell receptor sequencing, we demonstrate that this vaccine-induced population is SARS-CoV-2 antigen-specific and capable of rapid clonal expansion. Moreover, we also identify these CD8 + populations in scRNA-seq datasets from COVID-19 patients and find that their relative frequency and differentiation outcomes are predictive of subsequent clinical outcomes. Our work contributes to our understanding of T cell immunity, and highlights the potential for integrative and multimodal analysis to characterize rare cell populations.
Keyphrases
- sars cov
- single cell
- rna seq
- endothelial cells
- respiratory syndrome coronavirus
- genome wide
- immune response
- pain management
- induced pluripotent stem cells
- high glucose
- gene expression
- pluripotent stem cells
- transcription factor
- dna methylation
- adipose tissue
- risk assessment
- big data
- cell therapy
- inflammatory response
- peripheral blood
- oxidative stress
- weight loss
- machine learning
- sensitive detection
- climate change
- glycemic control