Biology subjects

Strauli, N.

Publications and source records attributed to Strauli, N..

4 recordsLinked to original sources

bioRxiv2024

Systematic Analysis of Immune Changes after B-cell Depletion in Autoimmune Multiple Sclerosis

Multiple sclerosis (MS) is a complex genetically mediated autoimmune disease of the central nervous system where anti-CD20-mediated B cell depletion is remarkably effective in the treatment of early disease. While previous studies investigated the effect of B cell depletion on select immune cell subsets using flow cytometry-based methods, the therapeutic impact on patient immune landscape is unknown. In this study, we explored how a therapy-driven "in vivo perturbation" modulates the diverse immune landscape by measuring transcriptomic granularity with single-cell RNA sequencing (scRNAseq). We demonstrate that B cell depletion leads to cell type-specific changes in the abundance and function of CSF macrophages and peripheral blood monocytes. Specifically, a CSF-specific macrophage population with an anti-inflammatory transcriptomic signature and peripheral CD16+ monocytes increased in frequency post-B cell depletion. This was accompanied by increases in TNF messenger RNA and protein in monocytes post-B cell depletion, consistent with the finding that anti-TNF treatment exacerbates autoimmune activity in MS. In parallel, B cell depletion induced changes in peripheral CD4+ T cell populations, including increases in the frequency of TIGIT+ regulatory T cells and marked decreases in the frequency of myelin peptide loaded-tetramer binding CD4+ T cells. Collectively, this study provides an exhaustive transcriptomic map of immunological changes, revealing different mechanisms of action contributing to the high efficacy in B cell depletion treatment of MS.

immunology↗

bioRxiv2019

The genetic interaction between HIV and the antibody repertoire

The interaction between human immunodeficiency virus (HIV) and the antibody repertoire (AbR) during chronic infection can provide important information for HIV vaccine research, yet has not been well-characterized on a systems level. We deeply sequenced the HIV population and the AbR of ten HIV-infected, antiretroviral (ART)-naive individuals, each with 10-20 longitudinal samples spanning 4-14 years. Our unbiased sequencing approach identified partitions of AbRs showing evidence of interaction with autologous HIV populations. We show that these HIV-associated partitions are enriched for the V gene segments of known HIV broadly neutralizing antibodies (bnAbs), indicating that the HIV-responding component of the AbR can be identified via time-series genetic data. Despite this evidence for larger-scale AbR/HIV interactions at the sub-population level, we found little to no evidence for antagonistic coevolution (i.e. an arms race). This suggests that antagonistic coevolution is either rare, or hard to detect, which has important vaccine design implications.

evolutionary biology↗

bioRxiv2016

Genomic characterization of serial-passaged Ebola virus in a boa constrictor cell line

Ebola virus disease (EVD) is a viral hemorrhagic fever with a high case-fatality rate in humans. EVD is caused by four members of the filoviral genus Ebolavirus, with Ebola virus (EBOV) being the most notorious one. Although bats are discussed as potential ebolavirus reservoirs, limited data actually support this hypothesis. Glycoprotein 2 (GP2) of reptarenaviruses, known to infect only boa constrictors and pythons, are similar in sequence and structure to ebolaviral glycoprotein 2 (GP2), suggesting that EBOV may be able to infect snake cells. We therefore serially passaged EBOV and a distantly related filovirus, Marburg virus (MARV), in the boa constrictor kidney cell line, JK, and characterized viral growth and mutational frequency by sequencing. We observed that EBOV efficiently infected and replicated in JK cells, but MARV did not. In contrast to most cell lines, EBOV infected JK cells did not result in obvious cytopathic effect (CPE). Genomic characterization of serial-passaged EBOV in JK cells revealed that genomic adaptation was not required for infection. Deep sequencing coverage (>10,000x) demonstrated the existence of only a single non-synonymous variant (EBOV glycoprotein precursor preGP T544I) of unknown significance within the viral population that exhibited a shift in frequency of at least 10% over six passages. Our data suggest that boid snake derived cells are competent for filovirus infection without appreciable genomic adaptation; that cellular filovirus infection without CPE may be more common than currently appreciated; and that there may be significant differences between the natural host spectra of ebolaviruses and marburgviruses.\n\nIMPORTANCEEbola virus (EBOV) causes a high case-fatality form of viral hemorrhagic fever. The natural reservoir of EBOV remains unknown. EBOV is distantly related to Marburg virus (MARV), which has been found in bats in the wild. The glycoprotein of a reptarenavirus known to infect boid snakes (pythons and boas) shows similarity in sequence and structure to these viruses, suggesting that EBOV and MARV may be able to infect and replicate in snake cells. We demonstrate that JK, a boa constrictor cell line, does not support MARV infection, but does support EBOV infection without causing overt cytopathic effect or the need for appreciable adaptation. These findings suggest different filoviruses may have a more diverse natural host spectra than previously thought.

genomics↗

bioRxiv2016

Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing

Assay-based approaches provide a detailed view of the adaptive immune system by profiling T and B cell receptor repertoires. However, these methods come at a high cost and lack the scale of standard RNA sequencing (RNA-seq). Here we report the development of ImReP, a novel computational method for rapid and accurate profiling of the adaptive immune repertoire from regular RNA-Seq data. We applied it to 8,555 samples across 544 individuals from 53 tissues from the Genotype-Tissue Expression (GTEx v6) project. ImReP is able to efficiently extract TCR- and BCR- derived reads from the RNA-Seq data and accurately assemble the complementarity determining regions 3 (CDR3s), the most variable regions of B- and T-cell receptors determining their antigen specificity. Using ImReP, we have created the systematic atlas of immunological sequences for B- and T-cell repertoires across a broad range of tissue types, most of which have not been studied for B and T cell receptor repertoires. We have also examined the compositional similarities of clonal populations between the GTEx tissues to track the flow of T- and B- clonotypes across immune-related tissues, including secondary lymphoid organs and organs encompassing mucosal, exocrine, and endocrine sites. The atlas of T- and B-cell receptor receptors, freely available at https://sergheimangul.wordpress.com/atlas-immune-repertoires/, is the largest collection of CDR3 sequences and tissue types. We anticipate this recourse will enhance future studies in areas such as immunology and advance development of therapies for human diseases. ImReP is freely available at https://sergheimangul.wordpress.com/imrep/.

immunology↗