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Thakker, C.

Publications and source records attributed to Thakker, C..

2 recordsLinked to original sources

Temporal Dynamics of Antigen-Specific T Cell Expansion in Primary SARS-CoV-2 Infection

Quantifying T cell response during primary infection in humans is crucial for understanding adaptive immunity. Leveraging a controlled human challenge to SARS-CoV-2, we characterized antigen-specific T cell response within and across individuals. Notably, individual clones reached similar maximum frequencies despite differences in the timing of their peak expansion. Mathematical modeling showed that this observation is consistent with precursor frequency, but not TCR signal strength, as the source of inter-clonal variability. Single-cell profiling revealed distinct temporal programs for CD4+ and CD8+ T cells, with CD4+ cells expanding earlier but contracting to a lower frequency. Clones with similar receptors, likely recognizing the same antigen, expanded at similar times. Together, these findings highlight how clone-intrinsic properties such as precursor frequency and lineage shape T cell clonal kinetics. These insights provide a quantitative framework for understanding T cell response in humans, with implications for vaccine design.

biophysics↗

Single-cell transcriptome and T cell receptor profiling of the tuberculin skin test

The tuberculin skin test (TST) is a cutaneous delayed hypersensitivity reaction to antigen from Mycobacterium tuberculosis (Mtb). We provide the first single cell sequencing characterisation of the human TST reaction, based on skin suction blisters induced at the site of the TST on day 2 in 31 individuals. Integrated single cell RNA and TCR sequencing showed the immune response to be dominated by T cells, with smaller populations of NK cells and myeloid cells. T cells comprised CD4, CD8, gamma/delta and NK T cells, with 50% of all T cells identified as cytotoxic and 14% as regulatory. Interferon gamma gene expression was strongest in CD8 T cells, and distinct CD4 T helper lineages could not unambiguously be identified at this time point. Amongst myeloid cells, 63% displayed antimicrobial gene expression and 28% were functionally polarised towards antigen presentation with higher levels of HLA class 2 expression. We derived and validated transcriptional signatures for cell types and cellular functions relevant to the immune landscape of the TST. These data help to improve our understanding of the immune response to Mtb and enable further exploration of bulk transcriptomic data through context-specific cellular deconvolution.

immunology↗