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Wendel, B. S.

Publications and source records attributed to Wendel, B. S..

3 recordsLinked to original sources

Mapping the lineage relationship between CXCR5+ and CXCR5- CD4+ T cells in HIV infected human lymph nodes

CXCR5 is a key surface marker expressed on follicular helper T (TFH) cells. We report here B cell help functionality in a population of CD4+ T cells isolated from primary human lymph nodes (LN) that lacked CXCR5 expression. This CXCR5- subset is distinguished from other CXCR5- CD4+ T cells by high PD-1 expression. Accumulation of CXCR5-PD-1+ T cells correlated with peripheral CD4+ T cell depletion and an increase in T-bet+ B cells in the LN, highlighting these atypical CD4+ T cells as a key component of lymphoid dysregulation during chronic HIV infection. By interrogating the phenotypic heterogeneity, functional capacity, TCR repertoire, transcriptional profile, and epigenetic state of CXCR5-PD-1+ T cells, we showed that CXCR5-PD-1+ T cells are related to CXCR5+PD-1+ T cells and provided evidence for the down regulation of CXCR5 following cell division as one mechanism for the absence of CXCR5 expression. Notably, CXCR5-PD-1+ T cells exhibited a migratory transcriptional program and contributed to circulating CXCR5-PD-1+ T cells with B cell help functionality in the peripheral blood. Thus, these data link LN pathology to circulating T cells and expand the current understanding on T cell diversity in the regulation of B cell responses during chronic inflammation. O_LIHigh dimensional profiling of activated CD4+ T cells in HIV infected lymph nodes revealed an accumulation of a CXCR5 negative subset. C_LIO_LICXCR5-PD-1+CD4+ T cells exhibited TFH-like protein expression and function. C_LIO_LICXCR5-PD-1+CD4+ T cells are related to TFH cells by clonal lineage and epigenetic similarity. C_LIO_LICXCR5-PD-1+CD4+ T cells upregulate a migratory gene program and contribute to circulating T cells with B cell help functionality C_LI

immunology↗

COLT-Viz: Interactive Visualization of Antibody Lineage Trees

Many tools have been developed to visualize phylogenetic trees, which is a traditional technique for evolutionary tree analysis. However, due to the unique characteristics of antibody lineage trees, the phylogenetic method cannot adequately construct proper tree structures for antibody lineages, and many other tools have been developed to address this problem. However, there still lacks of an adequate tool to visualize the resulted antibody lineage structures that are more complicated than phylogenetic trees. In addition, high-throughput sequencing-based antibody repertoire profiling enables the counting of the number of transcripts associated with individual antibody sequences, thus more dimensions need to be encoded in the tree structure visualization. Further, users may wish to manually adjust the tree structure for a special context. When doing so, they may wish to maintain some biological constraints that are applicable in antibody lineage tree structure, such as isotype switching constraints or different sampling constraints. Here, we report an interactive visualization tool (COLT-Viz) designed to display the number of RNA copies, number of somatic hypermutations, and sample collection time associated with each antibody sequence as well as the distance to neighboring sequences for each antibody sequence in the lineage. COLT-Viz also allows users to interactively visualize and edit antibody lineage structures while giving users the option to automatically check biological constraints on the edited structures to ensure accuracy. COLT-Viz takes JSON text format as input files and can easily be used to visualize networks with or without the biological constraints. We believe the amount of information that can be displayed for complex antibody lineages, the interactive interface, and the option of checking for biological constraints make COLT-Viz a versatile tool for antibody lineage tree visualization that will guide further biological discoveries.

bioinformatics↗

Accurate Immune Repertoire Sequencing Reveals Malaria Infection Driven Antibody Lineage Diversification in Young Children

Accurately measuring antibody repertoire sequence composition in a small amount of blood is challenging yet important to the understanding of the repertoire response to infections and vaccinations. Here, we describe an accurate and high-coverage repertoire sequencing method, MIDCIRS, which uses as few as 1,000 naive B cells. Using it, we studied age-related antibody repertoire development and diversification before and during acute malaria in infants (< 12 months old) and toddlers (12 - 47 months old) with 4-8 ml of blood draws. Unexpectedly, we discovered high levels of somatic hypermutation (SHM) in infants as young as three months old. Antibody clonal lineage analysis revealed that both infants and toddlers increase SHM levels upon infection and memory B cells isolated from pre-malaria samples in malaria-experienced individuals continue to induce SHMs upon malaria rechallenge. These results highlight the vast potential of antibody repertoire diversification in infants and toddlers that has not been realized previously.

immunology↗