Delineating the transcriptional landscape and clonal diversity of virus-specific CD4 + T cells during chronic viral infection.
Ryan A ZanderAchia KhatunMoujtaba Y KasmaniYao ChenWeiguo CuiPublished in: eLife (2022)
Although recent evidence indicates that CD4 + T cells responding to chronic viral infection are functionally heterogenous, our understanding of the developmental relationships between these subsets, and a determination of how their transcriptional landscape compares to their acute infection counterparts remains unclear. Additionally, whether cell-intrinsic factors such as TCR usage influence CD4 + T cell fate commitment during persistent infection has not previously been studied. Herein, we perform single-cell RNA sequencing (scRNA-seq) combined with single-cell T cell receptor sequencing (scTCR-seq) on virus-specific CD4 + T cells isolated from mice infected with chronic lymphocytic choriomeningitis virus (LCMV) infection. We identify several transcriptionally distinct states among the Th1, Tfh, and memory-like T cell subsets that form at the peak of infection, including the presence of a previously unrecognized Slamf7 + subset with cytolytic features. We further show that the relative distribution of these populations differs substantially between acute and persistent LCMV infection. Moreover, while the progeny of most T cell clones displays membership within each of these transcriptionally unique populations, overall supporting a one cell-multiple fate model, a small fraction of clones display a biased cell fate decision, suggesting that TCR usage may impact CD4 + T cell development during chronic infection. Importantly, comparative analyses further reveal both subset-specific and core gene expression programs that are differentially regulated between CD4 + T cells responding to acute and chronic LCMV infection. Together, these data may serve as a useful framework and allow for a detailed interrogation into the clonal distribution and transcriptional circuits underlying CD4 + T cell differentiation during chronic viral infection.
Keyphrases
- single cell
- rna seq
- gene expression
- cell fate
- high throughput
- transcription factor
- drug induced
- liver failure
- dna methylation
- type diabetes
- regulatory t cells
- adipose tissue
- machine learning
- cell therapy
- intensive care unit
- mass spectrometry
- big data
- dendritic cells
- metabolic syndrome
- working memory
- immune response
- oxidative stress
- solid phase extraction
- heat shock