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Biology subjects

Wald, S.

Publications and source records attributed to Wald, S..

2 recordsLinked to original sources

Mycobacterial infection uncovers plasticity of Kupffer cells

Bona fide Kupffer cells (KCs) are prenatally seeded and show unique functional and immunophenotypic features among tissue macrophages. They are considered as terminally differentiated, and adaptability in disease is attributed to recruited, monocyte-derived KCs. Here, we investigated the extent of KC plasticity and the impact of origin in mycobacterial infections that target macrophages and can persist for months. Fate-mapping combined with high-resolution imaging revealed the emergence of a unique, infection specific KC subset which downregulated the signature markers CLEC4F and VSIG4 ("KClow"). KClow were derived from bona fide KCs and located exclusively to granuloma cores. In contrast, monocyte-derived macrophages were contained at the granuloma borders and contributed to this tissue reaction. ATAC and single-cell RNA sequencing identified a specific signature of KClow with high antimycobacterial activity and specialization to a hypoxic microenvironment. Despite their fundamental deviation from the classical KC phenotype, KClow showed remarkable adaptability, and were capable to return to a homeostatic-like KC state. Accordingly, mycobacterial infections unmask KCs as highly plastic cells, capable of responding to extreme environmental changes.

immunology↗

Mathematical Characterization of Private and Public Immune Repertoire Sequences

Diverse T and B cell repertoires play an important role in mounting effective immune responses against a wide range of pathogens and malignant cells. The number of unique T and B cell clones is characterized by T and B cell receptors (TCRs and BCRs), respectively. Although receptor sequences are generated probabilistically by recombination processes, clinical studies found a high degree of sharing of TCRs and BCRs among different individuals. In this work, we formulate a mathematical and statistical framework to quantify receptor distributions. We define information-theoretic metrics for comparing the frequency of sampled sequences observed across different individuals. Using synthetic and empirical TCR amino acid sequence data, we perform simulations to compare theoretical predictions of this clonal commonality across individuals with corresponding observations. Thus, we quantify the concept of "publicness" or "privateness" of T cell and B cell clones. Our methods can also be used to study the effect of different sampling protocols on the expected commonality of clones and on the confidence levels of this overlap. We also quantify the information loss associated with grouping together certain receptor sequences, as is done in spectratyping.

bioinformatics↗