Morgenstern, R. | bioRxiv Science

bioRxiv2024

BACH2-driven tissue resident memory programs promote HIV-1 persistence

Transcription repressor BACH2 redirects short-lived terminally differentiated effector into long-lived memory cells. We postulate that BACH2-mediated long-lived memory programs promote HIV-1 persistence in gut CD4+ T cells. We coupled single-cell DOGMA-seq and TREK-seq to capture chromatin accessibility, transcriptome, surface proteins, T cell receptor, HIV-1 DNA and HIV-1 RNA in 100,744 gut T cells from ten aviremic HIV-1+ individuals and five HIV-1- donors. BACH2 was the leading transcription factor that shaped gut tissue resident memory T cells (TRMs) into long-lived memory with restrained interferon-induced effector function. We found that HIV-1-infected cells were enriched in TRMs (80.8%). HIV-1-infected cells had increased BACH2 transcription factor accessibility, TRM (CD49a, CD69, CD103) and survival (IL7R) gene expression, and Th17 polarization (RORC, CCR6). In vitro gut CD4+ T cell infection revealed preferential infection and persistence of HIV-1 in CCR6+ TRMs. Overall, we found BACH2-driven TRM program promotes HIV-1 persistence and BACH2 as a new therapeutic target.

immunology↗

bioRxiv2019

Gene expression-based identification of antigen-responsive CD8+ T cells on a single-cell level

CD8+ T cells are important effectors of adaptive immunity against pathogens, tumors and self antigens. Here, we asked how human cognate antigen-responsive CD8+ T cells and their receptors could be identified in unselected single-cell gene expression data. Single-cell RNA sequencing and qPCR of dye-labelled antigen-specific cells identified large gene sets that were congruently up- or downregulated in virus-responsive CD8+ T cells under different antigen presentation conditions. Combined expression of TNFRSF9, XCL1, XCL2, and CRTAM was the most distinct marker of virus-responsive cells on a single-cell level. Using transcriptomic data, we developed a machine learning-based classifier that provides sensitive and specific detection of virus-responsive CD8+ T cells from unselected populations. Gene response profiles of CD8+ T cells specific for the autoantigen islet-specific glucose-6-phosphatase catalytic subunit-related protein differed markedly from virus-specific cells. These findings provide single-cell gene expression parameters for comprehensive identification of rare antigen-responsive cells and T cell receptors.\n\nOne-sentence summaryIdentification of genes, gene sets, and development of a machine learning-based classifier that distinguishes antigen-responsive CD8+ T cells on a single-cell level.

immunology↗