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Nätkin, R.

Publications and source records attributed to Nätkin, R..

3 recordsLinked to original sources

Multi-region whole-genome and transcriptomic profiling uncovers plastic, subclone-linked cell states in high-grade diffuse astrocytomas

Intratumoral heterogeneity is a defining feature of high-grade astrocytomas and a major contributor to treatment resistance. Yet how genomic diversification intersects with transcriptional plasticity remains incompletely understood. We performed high-resolution multi-omic profiling of three complex, treatment-naive tumors (two IDH-wildtype glioblastomas and one IDH-mutant grade 4 astrocytoma). By integrating whole-genome sequencing (WGS), bulk and single-cell RNA sequencing (scRNA-seq), and histopathology across four anatomically distinct regions per tumor, we mapped the co-evolution of genome and transcriptome. Despite striking regional differences in morphology and cellular states, genomic evolution was predominantly trunk-dominated. Most driver alterations were clonal across regions, indicating early acquisition and stable genomic backbones. The IDH-mutant tumor showed linear evolution with localized hypermutation, whereas glioblastomas displayed modest late-branching subclones. In contrast, transcriptional heterogeneity was pronounced and spatially structured. Distinct genetic subclones preferentially occupied divergent transcriptional states. However, subclones shared across regions frequently adopted different phenotypes depending on local microenvironment. Single-cell reconstruction from matched patient-derived cell lines resolved subclone-associated trajectories, revealing dynamic transitions between proliferative and inflammatory states. This study provides a framework for understanding how early-established genomic backbones and regional transcriptional plasticity jointly drive phenotypic diversity. While single biopsies may capture truncal drivers, resolving clinically relevant heterogeneity requires multi-region and single-cell approaches.

cancer biology↗

The inflammasome adaptor pycard is essential for immunity against Mycobacterium marinum infection in adult zebrafish

Inflammasome regulates the host response to intracellular pathogens including mycobacteria. We have previously shown that the course of Mycobacterium marinum infection in adult zebrafish (Danio rerio) has similar features than the course of tuberculosis in human. In this study, we have investigated the role of the inflammasome adaptor pycard in M. marinum infection in zebrafish. We produced two zebrafish knock-out mutant lines for the pycard gene with CRISPR/Cas9 mutagenesis. While the zebrafish larvae devoid of pycard develop normally and have unaltered resistance against M. marinum, the loss of pycard led to impaired survival and increased bacterial burden in the adult zebrafish. Based on histological analysis, immune cell aggregates, granulomas, were larger in pycard deficient fish compared to wild type controls. Transcriptome analysis with RNA sequencing of a zebrafish haematopoietic tissue, kidney, suggests a role for pycard in neutrophil mediated defence as well as in haematopoiesis and myelopoiesis during infection. Transcriptome analysis of fluorescently labelled kidney neutrophils further supported the importance of pycard for neutrophil-mediated immunity against M. marinum. Genes associated with neutrophil degranulation, haematopoiesis and PI3K signalling were differentially expressed in the pycard deficient neutrophils when compared to wild type controls. All in all, our results indicate that pycard is essential for resistance against mycobacteria in adult zebrafish. Based on transcriptional profiling of pycard mutants, we postulate that pycard mutant phenotype is mediated in part via defects in neutrophil function including neutrophil degranulation. Author summaryInflammasome is a multiprotein complex which is a part of immune response especially against intracellular microbes. Tuberculosis, caused by Mycobacterium tuberculosis, is a global health problem causing 1.3 million deaths yearly. A natural fish pathogen, Mycobacterium marinum, causes a systemic infection in adult zebrafish resembling human tuberculosis including granuloma formation and an asymptomatic, latent state. Here, we have used zebrafish as a model to investigate the role of an inflammasome regulator pycard in resistance against M. marinum infection in zebrafish. We show that while pycard is dispensable for normal immunity against mycobacterial infection in larval stages, it has a central role in the immune defense against M. marinum in adult zebrafish. Based on our results, we suggest that this relates to blood cell formation, haematopoiesis and especially to the function of neutrophils. By analysing transcriptrional profile of pycard deficient neutrophils upon Mycobacterial challenge, it seems that pycard has a role in PI3K signalling and neutrophil degranulation. Our results indicate that pycard is essential for normal resistance against M. Marinum in adult zebrafish, and that it regulates neutrophil function during Mycobacterial infection.

immunology↗

Single-cell ATAC and RNA sequencing reveal pre-existing and persistent subpopulations of cells associated with relapse of prostate cancer

Prostate cancer is profoundly heterogeneous and patients would benefit from methods that stratify clinically indolent from more aggressive forms of the disease. We employed single-cell assay for transposase-accessible chromatin (ATAC) and RNA sequencing in models of early treatment response and resistance to enzalutamide. In doing so, we identified pre-existing and treatment-persistent cell subpopulations that possess transcriptional stem-like features and regenerative potential when subjected to treatment. We found distinct chromatin landscapes associated with enzalutamide treatment and resistance that are linked to alternative transcriptional programs. Transcriptional profiles characteristic of persistent stem-like cells were able to stratify the treatment response of patients. Ultimately, we show that defining changes in chromatin and gene expression in single-cell populations from pre-clinical models can reveal hitherto unrecognized molecular predictors of treatment response. This suggests that high analytical resolution of pre-clinical models may powerfully inform clinical decision-making.

cancer biology↗