Biology subjects

Tombor, L.

Publications and source records attributed to Tombor, L..

3 recordsLinked to original sources

bioRxiv2025

Vascular niches are the primary hotspots for aging within the multicellular architecture of cardiac tissue

BackgroundAging is a major, yet unmodifiable risk factor for cardiovascular diseases, leading to vascular alterations, increased cardiac fibrosis, and inflammation, all of which contribute to impaired cardiac function. However, the microenvironment inciting age-related alterations withing the multicellular architecture of the cardiac tissue is unknown. MethodsWe investigated local microenvironments in aged mice hearts applying an integrative approach combining single-nucleus RNA sequencing and spatial transcriptomics in 12-week-old and 18-month-old mice. We defined distinct cardiac niches and studied changes in their cellular composition and functional characteristics. ResultsIntegration of spatial transcriptomics data across young and aged hearts allowed us to identify 11 cardiac niches, which were characterized by distinct cellular composition and functional signatures. Aging did not alter the overall proportions of cardiac niches but leads to distinct regional changes, particularly in the left ventricle. Whereas cardiomyocyte-enriched niches show disrupted circadian clock gene expression, vascular niches showed major changes in pro-inflammatory and pro-fibrotic signatures and altered cellular composition. We particularly identified larger vessel-associated cellular niches as key hotspots for activated fibroblasts and macrophages in aged hearts, with interactions of both cell types through the C3:C3ar1 axis. These niches were also enriched in senescence cells exhibiting high expression of immune evasion mechanisms that may impair senescent cell clearance. ConclusionOur findings indicate that the microenvironment around the vasculature is particularly susceptible to age-related changes and serves as a primary site for inflammation-driven aging, so called "inflammaging". This study provides new insights into how aging reshapes cardiac cellular architecture, highlighting vessel-associated niches as potential therapeutic targets for age-related cardiac dysfunction.

physiology↗

bioRxiv2022

Ageing impairs the neuro-vascular interface in the heart

Aging is a major risk factor for impaired cardiovascular health. The aging myocardium is characterized by electrophysiological dysfunctions such as a reduced heart rate variability. These alterations can be intrinsic within cardiomyocytes, but might be modulated by the cardiac autonomic nervous system, as well1. It is known that nerves align with vessels during development2, but the impact of aging on the cardiac neuro-vascular interface is unknown. Here, we report that aging reduces nerve density specifically in the left ventricle and dysregulates vascular-derived neuro-regulatory genes. Aging leads further to a down-regulation of miR-145 and de-repression of the neuro-repulsive factor Semaphorin-3A. miR-145 deletion increased Sema3a expression and reduced axon density, thus mimicking the observed aged heart phenotype. Removal of senescent cells, which accumulated with chronological age while nerve density declined, rescued from age-induced dennervation, reduced Sema3a expression and preserved heart rate variability. These data suggest that senescence-associated regulation of neuro-regulatory genes contributes to a declined nerve density of the aging heart and thereby to a reduced heart rate variability.

physiology↗

bioRxiv2021

Comparative Analysis of common alignment tools for single cell RNA sequencing

With the rise of single cell RNA sequencing new bioinformatic tools became available to handle specific demands, such as quantifying unique molecular identifiers and correcting cell barcodes. Here, we analysed several datasets with the most common alignment tools for scRNA-seq data. We evaluated differences in the whitelisting, gene quantification, overall performance and potential variations in clustering or detection of differentially expressed genes. We compared the tools Cell Ranger 5, STARsolo, Kallisto and Alevin on three published datasets for human and mouse, sequenced with different versions of the 10X sequencing protocol. Striking differences have been observed in the overall runtime of the mappers. Besides that Kallisto and Alevin showed variances in the number of valid cells and detected genes per cell. Kallisto reported the highest number of cells, however, we observed an overrepresentation of cells with low gene content and unknown celtype. Conversely, Alevin rarely reported such low content cells. Further variations were detected in the set of expressed genes. While STARsolo, Cell Ranger 5 and Alevin released similar gene sets, Kallisto detected additional genes from the Vmn and Olfr gene family, which are likely mapping artifacts. We also observed differences in the mitochondrial content of the resulting cells when comparing a prefiltered annotation set to the full annotation set that includes pseudogenes and other biotypes. Overall, this study provides a detailed comparison of common scRNA-seq mappers and shows their specific properties on 10X Genomics data. Key messagesO_LIMapping and gene quantifications are the most resource and time intensive steps during the analysis of scRNA-Seq data. C_LIO_LIThe usage of alternative alignment tools reduces the time for analysing scRNA-Seq data. C_LIO_LIDifferent mapping strategies influence key properties of scRNA-SEQ e.g. total cell counts or genes per cell C_LIO_LIA better understanding of advantages and disadvantages for each mapping algorithm might improve analysis results. C_LI

bioinformatics↗