Antigen-specific CD4+ T cells exhibit distinct transcriptional phenotypes in the lymph node and blood following vaccination in humans.
Philip A MuddNicholas BorcherdingWooseob KimMichael QuinnFangjie HanJulian Q ZhouAlexandria SturtzAaron SchmitzTingting LeiStefan A SchattgenMichael KlebertTeresa SuessenWilliam MiddletonCharles GossChang LiuJeremy Chase CrawfordPaul Glyndwr ThomasSharlene TeefeyRachel PrestiJane O'HalloranJackson S TurnerAli H EllebedyPublished in: Research square (2023)
SARS-CoV-2 infection and mRNA vaccination induce robust CD4 + T cell responses that are critical for the development of protective immunity. Here, we evaluated spike-specific CD4 + T cells in the blood and draining lymph node (dLN) of human subjects following BNT162b2 mRNA vaccination using single-cell transcriptomics. We analyze multiple spike-specific CD4 + T cell clonotypes, including novel clonotypes we define here using Trex, a new deep learning-based reverse epitope mapping method integrating single-cell T cell receptor (TCR) sequencing and transcriptomics to predict antigen-specificity. Human dLN spike-specific T follicular helper cells (T FH ) exhibited distinct phenotypes, including germinal center (GC)-T FH and IL-10 + T FH , that varied over time during the GC response. Paired TCR clonotype analysis revealed tissue-specific segregation of circulating and dLN clonotypes, despite numerous spike-specific clonotypes in each compartment. Analysis of a separate SARS-CoV-2 infection cohort revealed circulating spike-specific CD4 + T cell profiles distinct from those found following BNT162b2 vaccination. Our findings provide an atlas of human antigen-specific CD4 + T cell transcriptional phenotypes in the dLN and blood following vaccination or infection.
Keyphrases
- single cell
- lymph node
- rna seq
- endothelial cells
- high throughput
- deep learning
- regulatory t cells
- neoadjuvant chemotherapy
- gene expression
- transcription factor
- induced pluripotent stem cells
- sars cov
- induced apoptosis
- cell proliferation
- binding protein
- mass spectrometry
- cell death
- machine learning
- signaling pathway
- cell cycle arrest
- rectal cancer
- coronavirus disease
- locally advanced
- simultaneous determination