Biology subjects

Arulsamy, K.

Publications and source records attributed to Arulsamy, K..

3 recordsLinked to original sources

bioRxiv2024

Novel Role of Endothelial CD45 in Regulating Endothelial-to-Mesenchymal Transition in Atherosclerosis

BackgroundThe protein tyrosine phosphatase CD45 is expressed in all nucleated cells of the hematopoietic system and in mitral valve endothelial cells (ECs) undergoing endothelial-to-mesenchymal transition (EndoMT). Our recent work indicated that activation of endogenous CD45 in human endothelial colony-forming cells (ECFCs) induced expression of multiple EndoMT marker genes. We hypothesized that CD45 may contribute to atherosclerosis; however, detailed molecular mechanisms underlying how CD45 may contribute to EndoMT and the impact of therapeutic manipulation of CD45 expression in atherosclerosis are unknown. MethodsWe generated a tamoxifen-inducible EC-specific CD45-deficient mouse strain (EC-iCD45KO) on an ApoE-deficient (WT/ApoE-/-) background and fed them a Western diet (WD) to produce atherosclerosis. We enriched mouse aortic ECs with anti-CD31 beads to perform single-cell RNA sequencing. Cellular, biochemical and molecular approaches were used to investigate the effect of endothelial CD45-specific deletion on EndoMT and lesion development in an ApoE-/- mouse model of atherosclerosis. ResultsEC-iCD45KO mice showed reductions in lesion development, plaque macrophage infiltration, and expression of cell adhesion molecules when compared to WT/ApoE-/- controls. Single-cell RNA sequencing revealed that loss of endothelial CD45 decreases EndoMT marker expression and TGF-{beta} signaling in atherosclerotic mice, which is associated with reduction of lesions. Mechanistically, CD45 loss increases Fibroblast Growth Factor Receptor 2 (FGFR2) expression in mouse aortic ECs and Kruppel-like Factor 2 (KLF2) expression in the aortic root. Endothelial CD45-deficiency also inhibits EndoMT and TGF{beta} signaling in atherosclerosis. ConclusionsOur findings demonstrate that genetic depletion of endothelial CD45 protects against EndoMT-driven atherosclerosis by promoting FGFR2 and KLF2 expression while inhibiting Transforming Growth Factor beta (TGF{beta}) signaling and EndoMT. Consequently, targeting endothelial CD45 may represent a novel therapeutic strategy to reduce EndoMT in atherosclerosis.

cell biology↗

bioRxiv2024

Single-Cell Analysis Reveals Critical Role of Macrophage Epsin in Regulating Origin of Foam Cell in Atherosclerosis

Atherosclerosis is a chronic inflammatory condition characterized by the excessive accumulation of fat and lipid molecules, leading to the formation of foam cells and plaques in arterial walls. Dysfunction of vascular smooth muscle cells (VSMCs), fibroblast, endothelial cells, and macrophages is often associated with this pathology. We found that epsins accelerate atherosclerosis progression in individuals on a Western diet (WD). Using ApoE-deficient (ApoE-/-) and macrophage-specific epsin deletion in ApoE-/- backgrounds (LysM-DKO/ApoE-/-) mice fed a WD for 16 weeks, we observed significantly reduced foam cell formation in LysM-DKO/ApoE-/- mice compared to ApoE-/- mice. Single-cell RNA sequencing identified 20 major cell types, including seven VSMC and five macrophage subtypes. Among the VSMC subtypes, modulating VSMC1 was involved in inflammation and migration, while modulating VSMC2 was associated with VSMC phenotype switching. In atherosclerotic mice, populations of modulating VSMC1, VSMC2, foamy-Trem2, and inflammatory macrophages increased, but significantly decreased in epsin-deficient mice. Modulating VSMC2 transition into macrophages occurred with a probability of 0.57 in ApoE-/- mice, compared to 0.01 in LysM-DKO/ApoE-/- mice. Epsin deletion also reversed endothelial dysfunction and downregulated cholesterol and glucose-mediated signals, as well as inflammatory ligands Il1b and C1qa. Our findings suggest that epsin deletion reduces foam cell formation and rewires VSMC and endothelial functions, offering a novel therapeutic strategy for atherosclerosis.

cell biology↗

bioRxiv2024

Machine Learning Uncovers Vascular Endothelial Cell Identity Genes by Expression Regulation Features in Single Cells

Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and many diseases involving cell identity dysregulation. Here, we introduce SCIG, a machine-learning method to uncover cell identity genes in single cells. In alignment with recent reports that cell identity genes are regulated with unique epigenetic signatures, we found cell identity genes exhibit distinctive genetic sequence signatures, e.g., unique enrichment patterns of cis-regulatory elements. Using these genetic sequence signatures, along with gene expression information from single-cell RNA-seq data, enables SCIG to uncover the identity genes of a cell without a need for comparison to other cells. Cell identity gene score defined by SCIG surpassed expression value in network analysis to uncover master transcription factors regulating cell identity. Applying SCIG to the human endothelial cell atlas revealed that the tissue microenvironment is a critical supplement to master transcription factors for cell identity refinement. SCIG is publicly available at https://github.com/kaifuchenlab/SCIG, offering a valuable tool for advancing cell differentiation, development, and regenerative medicine research.

bioinformatics↗