Biology subjects

Reich-Zeliger, S.

Publications and source records attributed to Reich-Zeliger, S..

4 recordsLinked to original sources

bioRxiv2022

RORc expressing immune cells support pro-tumorigenic functions of tertiary lymphoid structures

Tertiary lymphoid structures (TLSs) are formed in many cancer types and have been correlated with better prognosis and response to immunotherapy. In liver cancer, TLSs have been reported to be pro-tumorigenic as they harbor tumor progenitor cells and nurture their growth. The processes involved in TLS development and the acquisition of a pro- or anti-tumorigenic phenotype in cancer are largely unknown. RORc expressing immune cells have been previously implicated in TLS formation, however we find that they are not necessary for TLS neogenesis in the context of inflammation-associated liver cancer. On the contrary, RORc expressing cells negatively regulate TLS formation, since in their absence TLSs form in excess. CD4 cells are essential for liver TLS formation whereas B cells are required for TLS formation specifically in the absence of RORc expressing cells. Importantly, in chronically inflamed livers lacking RORc expressing cells, TLSs become anti-tumorigenic, resulting in reduced tumor load. Comparing liver pro- and anti-tumorigenic TLSs by transcriptional, proteomic and immunohistochemical analyses, revealed enrichment of exhausted CD8 cells that retained effector functions as well as germinal center B cells and plasma cells in anti-tumorigenic TLSs. Cell depletion experiments revealed a role mainly for B cells in limiting tumor development, possibly via tumor directed antibodies. Thus, RORc expressing cells negatively regulate B cell responses, and facilitate the pro-tumorigenic functions of hepatic TLSs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=85 SRC="FIGDIR/small/498540v2_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@385067org.highwire.dtl.DTLVardef@126c45corg.highwire.dtl.DTLVardef@25ad06org.highwire.dtl.DTLVardef@1829326_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2022

From pseudotime to true dynamics: reconstructing a real-time axis for T cells differentiation

Numerous methods have recently emerged for ordering single cells along developmental trajectories. However, accurate depiction of developmental dynamics can only be achieved after rescaling the trajectory according to the relative time spent at each developmental point. We formulate a model which estimates local cell densities and fluxes, and incorporates cell division and apoptosis rates, to infer the real time dimension of the developmental trajectory. We validate the model using mathematical simulations, and apply it on experimental high dimensional cytometry data obtained from the mouse thymus to construct the true time-profile of the thymocyte developmental process. Our method can easily be implemented in any of the existing tools for trajectory inference.

systems biology↗

bioRxiv2022

Population based selection shapes the T cell receptor repertoire during thymic development

One of the feats of adaptive immunity is its ability to recognize foreign pathogens while sparing the self. During maturation in the thymus, T cells are selected through the binding properties of their antigen-specific T-cell receptor (TCR), through the elimination of both weakly (positive selection) and strongly (negative selection) self-reactive receptors. However, the impact of thymic selection on the TCR repertoire is poorly understood. Here, we use transgenic Nur77-mice expressing a T-cell activation reporter to study the repertoires of thymic T cells at various stages of their development, including cells that do not pass selection. We combine high-throughput repertoire sequencing with statistical inference techniques to charactarize the selection of the TCR in these distinct subsets. We find small but significant differences in the TCR repertoire parameters between the maturation stages, which recapitulate known differentiation pathways leading to the CD4+ and CD8+ subtypes. These differences can be simulated by simple models of selection acting linearly on the sequence features. We find no evidence of specific sequences or sequence motifs or features that are suppressed by negative selection. These results are consistent with a collective or statistical model for T-cell specificity, where negative selection biases the repertoire away from self recognition, rather than ensuring lack of self-reactivity at the single-cell level.

immunology↗

bioRxiv2021

Antigen experience relaxes the organisational structure of the T cell receptor repertoire

The creation and evolution of the T cell receptor repertoire within an individual combines stochastic and deterministic processes. We systematically examine the structure of the repertoire in different T cell subsets in young, adult and LCMV infected mice, from the perspective of variable gene usage, nucleotide sequences and amino acid motifs. Young individuals share a high level of organization, especially in the frequency distribution of variable genes and amino acid motifs. In adult mice, this structure relaxes and is replaced by idiotypic evolution of the effector and regulatory repertoire. The repertoire of CD4+ regulatory T cells was more similar to naive cells in young mice, but became more similar to effectors with age. Finally, we observed a dramatic restructuring of the repertoire following infection with LCMV. We hypothesize that the stochastic process of recombination and thymic selection initially impose a strong structure to the repertoire, which gradually relaxes following asynchronous responses to different antigens during life.

immunology↗