Integrated Analysis of Multimodal Single-Cell Datasets for SARS-CoV-2 Vaccination

The study aimed to explore immune responses during a time course of BNT162b2 mRNA vaccination. To better characterize these responses, we utilize a suite of multi-modal single-cell sequencing technologies to identify and characterize antigen-specific CD8+ T cells. We leverage an integrative analysis strategy to characterize five molecular modalities in these cells. Our dataset enables the discovery of new subpopulations, molecular signatures, and developmental regulators of these cells. Moreover, we identify these cells in SARS-CoV-2 infected patients and demonstrate their positive predictive value for subsequent clinical recovery. The sequence data of CITE-seq, ASAP-seq and ECCITE-seq experiments are deposited in dbGaP. Peripheral blood mononuclear cell (PBMC) samples for CITE-seq and ASAP-seq were collected from six healthy donors at four time points: immediately before (Day 0) vaccination, after primary vaccination (Day 2, Day 10), and seven days after boost vaccination (Day 28). PBMC samples for ECCITE-seq were collected from eight healthy donors on Day 28. ]]>
Inclusion Criteria:Adults and children at ages 0 - 110, including breastfeeding and pregnant womenMust be able to understand and sign the Informed Consent Form (ICF) or Assent Form (for individuals < 18 years of age)Must be able to understand and sign the HIPAA authorization formExclusion Criteria:Known clinically significant anemia (i.e., Hb < 10 g/dL)Contraindication to phlebotomy based on investigator judgement; i.e., anticoagulation therapy or clinically significant thrombocytopeniaAny condition that, in the opinion of the investigator, would make study participation unsafe or would interfere with the objectives of the study]]>