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Tombor, L. S.

Publications and source records attributed to Tombor, L. S..

2 recordsLinked to original sources

Age-dependent RGS5 loss in pericytes induces cardiac dysfunction and fibrosis in the heart

BackgroundPericytes are capillary-associated mural cells involved in the maintenance and stability of the vascular network. Although ageing is one of the main risk factors for cardiovascular disease, the consequences of ageing on cardiac pericytes are unknown. MethodsIn this study, we have combined single-nucleus RNA sequencing and histological analysis to determine the effects of ageing on cardiac pericytes. Furthermore, we have conducted in vivo and in vitro analysis of Regulator of G protein signalling 5 (RGS5) loss of function and finally have performed pericytes-fibroblasts co-culture studies to understand the effect of RGS5 deletion in pericytes on the neighbouring fibroblasts. ResultsAgeing reduced the pericyte area and capillary coverage in the murine heart. Single nucleus RNA sequencing analysis further revealed that the expression of Rgs5 was reduced in cardiac pericytes from aged mice. In vivo and in vitro studies showed that the deletion of RGS5 impaired cardiac function, fibrosis, and induced morphological changes and a pro-fibrotic gene expression signature in pericytes characterized by the expression of different extracellular matrix components and growth factors e.g. TGFB2 and PDGFB. Indeed, culturing fibroblasts with the supernatant of RGS5 deficient pericytes induced their activation as evidenced by the increased expression of smooth muscle actin in a TGF{beta}2-dependent mechanism. ConclusionsOur results have identified RGS5 as a crucial regulator of pericyte function during cardiac ageing. The deletion of RGS5 causes cardiac dysfunction and induces myocardial fibrosis, one of the hallmarks of cardiac ageing.

physiology↗

Improved integration of single cell transcriptome data demonstrated on heart failure in mice and men

Biomedical research frequently uses murine models to study disease mechanisms. However, the translation of these findings to human disease remains a significant challenge. In order to improve the comparability of mouse and human data, we present a cross-species integration pipeline for single-cell transcriptomic assays. The pipeline merges expression matrices and assigns clear orthologous relationships. Starting from Ensembl ortholog assignments, we allocated 82% of mouse genes to unique orthologs by using additional publicly available resources such as Uniprot, and NCBI databases. For genes with multiple matches, we employed the Needleman-Wunsch global alignment based on either amino acid or nucleotide sequence to identify the ortholog with the highest degree of similarity. The workflow was tested for its functionality and efficiency by integrating scRNA-seq datasets from heart failure patients with the corresponding mouse model. We were able to assign unique human orthologs to up to 80% of the mouse genes, utilizing the known 17,492 orthologous pairs. Curiously, the integration process enabled the identification of both common and unique regulatory pathways between species in heart failure. In conclusion, our pipeline streamlines the integration process, enhances gene nomenclature alignment and simplifies the translation of mouse models to human disease. We have made the OrthoIntegrate R-package accessible on GitHub (https://github.com/MarianoRuzJurado/OrthoIntegrate), which includes the assignment of ortholog definitions for human and mouse, as well as the pipeline for integrating single cells. KeypointsO_LINovel integration workflow for scRNA-seq data from different species in an easy to use R-package ("OrthoIntegrate"). C_LIO_LIImproved one-to-one ortholog assignment via sequence similarity scores and string similarity calculations. C_LIO_LIValidation of "OrthoIntegrate" results with a case study of snRNA-seq from human heart failure with reduced ejection fraction and its corresponding mouse model C_LI

bioinformatics↗