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Klawonn, F.

Publications and source records attributed to Klawonn, F..

8 recordsLinked to original sources

Memory T Cells in MHC-Deficient Humanized Mice

Major histocompatibility complexes (MHC) govern antigen presentation and T cell receptor (TCR) selection. Accurate in vivo modeling of human immunity therefore requires physiological human MHC TCR interactions. Humanized NOD scid IL2null (NSG) mice engrafted with human CD34+ hematopoietic stem cells are widely used to provide preclinical platforms for the development of advanced therapies; however, interactions between murine MHC and human TCR can promote xenoreactivity and alter T cell development. Here, we investigated how elimination of murine MHC together with different conditioning regimens shapes human T cell maturation in vivo. CD34+ cells from ten cord blood donors were transplanted into conventional NSG mice or murine MHC deficient NSG derivatives (DKO) following either sublethal irradiation or myeloablative busulfan conditioning. Integrated analyses combining flow cytometry, plasma cytokine profiling, and bulk and single cell TCR sequencing revealed marked differences in T cell differentiation across models. Busulfan conditioned DKO mice developed highly proliferative, activated, and cytotoxic T cells together with clonally expanded TCR repertoires. In contrast, irradiated NSG mice preferentially accumulated naive, NKT, and regulatory T cell populations. Busulfan-conditioned DKO mice showed no evidence of xenogeneic graft versus host disease and represent a refined enabling platform for human T cell development and provide a foundation for future preclinical evaluation of advanced gene and cell therapies.

immunology↗

Next-generation all-in-one CRISPR/Cas9 multiply-edited CD30CAR-T cells:Potency despite risk of translocations

BackgroundChimeric antigen receptor (CAR)-T cells are therapeutic breakthroughs against advanced non-Hodgkin lymphomas and myelomas. On the other hand, no CAR-T cell product has been so far clinically approved for therapy of Hodgkin Lymphoma (HL), T cell lymphoma (TCL), or Epstein-Barr-Virus (EBV)-associated lymphoproliferative diseases (EBV-LPDs). CD30 (TNFRSF8) is commonly expressed on HL and on subsets of TCL and EBV-LPDs. CD30CAR-T cells generated via transduction with viral vectors have been tested in clinical trials, showing overall good responses against HL. CAR-T cells produced entirely with locus-specific gene editing methods are emerging as attractive next-generation engineered cell products for ease of multiple seamless cell modifications. MethodsUsing CRISPR/Cas9-mediated techniques, we optimized homology-directed repair templates (HDRTs) and performed all-in-one multiplex editing to knock-in (KI) CD30CAR within the TCR constant (TRAC) locus and to simultaneously knock-out (KO) PD-1 or/and {beta}2M. CD30CAR-T cells were tested in CD30+ cell models of HL, TCL, and EBV-LPDs. ResultsWe compared mouse versus human anti-CD30 scFv designs in HDRTs incorporating TRAC homology arms, FcIg spacer/detection domain, and CD28 / CD3{zeta} signaling domains. We obtained an average of 30% TRACKICD30CAR-T cells and efficient in vitro cytotoxicity with CD30+ cell targets. CARs incorporating the high-affinity humanized 5F11 scFv showed the highest CAR expression, and the editing templates were further modified to incorporate a truncated CD34 (tCD34) spacer/detection domain. 5F11-CD30CAR-tCD34-T cells showed high CAR-KI rates (approx. 50-80% 12-14 days after editing) and potency in vitro and in vivo. Subsequently, we tested all-in-one CAR KI with additional KOs by co-electroporation of guide RNAs (gRNAs) targeting the genes encoding PD-1 or /and {beta}2M to improve function and allow for improved cell persistence in allogeneic recipients, respectively. Compared with CD30CAR-T cells, CD30CAR-{beta}2MKO-T cells were similarly viable and functional and showed low risk of translocations. PD1KO enabled CD30CAR-T cells to produce higher levels of cytotoxic features upon exposure to targets. However, simultaneous {beta}2MKO and PD-1KO compromised the expansion capacity of CD30CAR-T cells and resulted in detectable translocations. ConclusionsNon-virally engineered 5F11-CD30CAR-T cells represent a novel cell therapy modality against CD30+ lymphomas. Multiplex editing remains to be optimized to avoid unwanted genomic alterations and chromosomal translocations.

cancer biology↗

T-cell development and activation in humanized mice lacking mouse major histocompatibility complexes

Humanized mice transplanted with CD34+ hematopoietic progenitor cells (HPCs) are used to study human immune responses in vivo. However, the mismatch between the mouse major histocompatibility complexes (MHCs) and the human leukocyte antigens (HLAs) is not optimal for T-cell development and can trigger xenograft reactivity. We evaluated human T-cell development in NOD.Scid.Gamma mice lacking expression of MHC class I and II (NSG-DKO). Human leukocyte engraftment was detectable at 8 weeks post-transplantation. Human CD4+ and CD8+ T-cells were detectable in blood, thymus, bone marrow and spleen of humanized NSG-DKO mice for up to 20 weeks post-transplantation. Further, we evaluated the effects of lentiviral vector (LV) systemic delivery of HLA-A*02:01, HLA-DRB1*04:01, human GM-CSF/IFN- and the human cytomegalovirus gB antigen. LV delivery promoted development and activation of human central memory, {beta} and {gamma}{delta} T-cells with amplifications of the T-cell repertoire. LV administration unleashed multiple reactome pathways such as type-I interferon responses, cell cycle and metabolic processes. In summary, development of human T-cells in humanized mice does not rely on mouse MHCs and can be boosted systemically via LV administration.

immunology↗

Haploflow: Strain-resolved de novo assembly of viral genomes

In viral infections often multiple related viral strains are present, due to coinfection or within-host evolution. We describe Haploflow, a de Bruijn graph-based assembler for de novo genome assembly of viral strains from mixed sequence samples using a novel flow algorithm. We assessed Haploflow across multiple benchmark data sets of increasing complexity, showing that Haploflow is faster and more accurate than viral haplotype assemblers and generic metagenome assemblers not aiming to reconstruct strains. Haplotype reconstructed high-quality strain-resolved assemblies from clinical HCMV samples and SARS-CoV-2 genomes from wastewater metagenomes identical to genomes from clinical isolates.

bioinformatics↗

Replicability, repeatability, and long-term reproducibility of cerebellar morphometry

To identify robust and reproducible methods of cerebellar morphometry that can be used in future large-scale structural MRI studies, we investigated the replicability, repeatability, and longterm reproducibility of three fully-automated software tools: FreeSurfer, CERES, and ACAPULCO. Replicability was defined as computational replicability, determined by comparing two analyses of the same high-resolution MRI data set performed with identical analysis software and computer hardware. Repeatability was determined by comparing the analyses of two MRI scans of the same participant taken during two independent MRI sessions on the same day for the Kirby-21 study. Long-term reproducibility was assessed by analyzing two MRI scans of the same participant in the longitudinal OASIS-2 study. We determined percent difference, the image intraclass correlation coefficient, the coefficient of variation, and the intraclass correlation coefficient between two analyses. Our results show that CERES and ACAPULCO use stochastic algorithms that result in surprisingly high differences between identical analyses for ACAPULCO and small differences for CERES. Changes between two consecutive scans from the Kirby-21 study were less than {+/-}5% in most cases for FreeSurfer and CERES (i.e., demonstrating high repeatability). As expected, long-term reproducibility was lower than repeatability for all software tools. In summary, CERES is an accurate, as demonstrated before, and reproducible tool for fully-automated segmentation and parcellation of the cerebellum. We conclude with recommendations for the assessment of replicability, repeatability, and longterm reproducibility in future studies on cerebellar structure.

neuroscience↗

SARS-CoV-2 Quasispecies Mediate Rapid Virus Evolution and Adaptation

Since the pandemic spread of SARS-CoV-2, the virus has exhibited remarkable genome stability, but recent emergence of novel variants show virus evolution potential. Here we show that SARS-CoV-2 rapidly adapts to Vero E6 cells that leads to loss of furin cleavage motif in spike protein. The adaptation is achieved by asymptotic expansion of minor virus subpopulations to dominant genotype, but wildtype sequence is maintained at low percentage in the virus swarm, and mediate reverse adaptation once the virus is passaged on human lung cells. The Vero E6-adapted virus show defected cell entry in human lung cells and the mutated spike variants cannot be processed by furin or TMPRSS2. However, the mutated S1/S2 site is cleaved by cathepsins with higher efficiency. Our data show that SARS-CoV-2 can rapidly adapt spike protein to available proteases and advocate for deep sequence surveillance to identify virus adaptation potential and novel variant emergence. Significance StatementRecently emerging SARS-CoV-2 variants B1.1.1.7 (UK), B.1.351 (South Africa) and B.1.1.248 (Brazil) harbor spike mutation and have been linked to increased virus pathogenesis. The emergence of these novel variants highlight coronavirus adaptation and evolution potential, despite the stable consensus genotype of clinical isolates. We show that subdominant variants maintained in the virus population enable the virus to rapidly adapt upon selection pressure. Although these adaptations lead to genotype change, the change is not absolute and genome with original genotype are maintained in virus swarm. Thus, our results imply that the relative stability of SARS-CoV-2 in numerous independent clinical isolates belies its potential for rapid adaptation to new conditions.

microbiology↗

Global genomic population structure of Clostridioides difficile

Clostridioides difficile is the primary infectious cause of antibiotic-associated diarrhea. Local transmissions and international outbreaks of this pathogen have been previously elucidated by bacterial whole-genome sequencing, but comparative genomic analyses at the global scale were hampered by the lack of specific bioinformatic tools. Here we introduce EnteroBase, a publicly accessible database (http://enterobase.warwick.ac.uk) that automatically retrieves and assembles C. difficile short-reads from the public domain, and calls alleles for core-genome multilocus sequence typing (cgMLST). We demonstrate that the identification of highly related genomes is 89% consistent between cgMLST and single-nucleotide polymorphisms. EnteroBase currently contains 13,515 quality-controlled genomes which have been assigned to hierarchical sets of single-linkage clusters by cgMLST distances. Hierarchical clustering can be used to identify populations of C. difficile at all epidemiological levels, from recent transmission chains through to pandemic and endemic strains, and is largely compatible with prior ribotyping. Hierarchical clustering thus enables comparisons to earlier surveillance data and will facilitate communication among researchers, clinicians and public-health officials who are combatting disease caused by C. difficile.

microbiology↗

Sweep Dynamics (SD) plots: Computational identification of selective sweeps to monitor the adaptation of influenza A viruses

Monitoring changes in influenza A virus genomes is crucial to understand its rapid evolution and adaptation to changing conditions e.g. establishment within novel host species. Selective sweeps represent a rapid mode of adaptation and are typically observed in human influenza A viruses. We describe Sweep Dynamics (SD) plots, a computational method combining phylogenetic algorithms with statistical techniques to characterize the molecular adaptation of rapidly evolving viruses from longitudinal sequence data. To our knowledge, it is the first method that identifies selective sweeps, the time periods in which these occurred and associated changes providing a selective advantage to the virus. We studied the past genome-wide adaptation of the 2009 pandemic H1N1 influenza A (pH1N1) and seasonal H3N2 influenza A (sH3N2) viruses. The pH1N1 influenza virus showed simultaneous amino acid changes in various proteins, particularly in seasons of high pH1N1 activity. Partially, these changes resulted in functional alterations facilitating sustained human-to-human transmission. In the evolution of sH3N2 influenza viruses, we detected changes characterizing vaccine strains, which were occasionally revealed in selective sweeps one season prior to the WHO recommendation. Taken together, SD plots allow monitoring and characterizing the adaptive evolution of influenza A viruses by identifying selective sweeps and their associated signatures.

bioinformatics↗