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• W2981781327 abstract "Abdominal aortic aneurysm (AAA) is a fatal vascular disease on rupture with still limited mechanistic knowledge of the pathophysiologic process. We sought to determine the heterogeneous cell subtypes and to characterize the spectrum of transcriptome signatures in each cell population within the aneurysmal wall by unbiased single-cell RNA sequencing (scRNA-seq) of human AAA tissue. Aortic specimens were collected from AAA and control healthy organ donor. Samples were processed by enzymatic digestion and mechanical disruption to generate single-cell suspension. Single-cell RNA libraries were prepared after generation of single-cell beads in emulsion. Sequencing was performed on a NovaSeq 6000 platform (Illumina, San Diego, Calif). After alignment, barcode assignment, and sample de-multiplexing, data analysis was performed on t-distributed stochastic neighbor embedding charts of cell transcriptome. Cell clusters were identified by unsupervised proximity based on Euclidian distance and supervised identification of biologic markers within clusters. Pathway analysis algorithms were used to outline biologically relevant networks. Unbiased analysis of scRNA-seq data sets showed 19 different cell clusters with unique transcriptomic signatures in AAA. A total of 8826 significant differentially expressed genes were identified in AAA vs control. Notably, gene transcription-associated extracellular matrix remodeling (COL1A1, COL3A1, COL1A2, LUM), Wnt signaling modulation (SFRP2), and synthetic cellular phenotypes (RPS29, RPS27, RPL13A, RPL28) were among the top increased profiles in AAA tissue. Pathway enrichment analysis of AAA vs control libraries revealed significant modulation of cell proliferation, cell-extracellular matrix interaction, neoangiogenesis, and inflammation. Five novel cell clusters with distinct immune synthetic phenotypes were predominantly abundant in AAA wall compared with the healthy aorta. A robust enrichment in immune cell entities was identified in AAA but not in control tissues, including expansion of CD19+ B lymphocytes and a subset of CD3E+ T lymphocytes significantly expressing IL32 and CCL5. In contrast, smooth muscle cell (ACTA2+MYH11+) number declined in AAA but revealed increased transcription of the protease ADAMTS4 and inflammatory signals (CCL19, CCL21, IL6, CCL2). Intercluster pathway analysis revealed enrichment of eukaryotic initiation factor 2 and mechanistic target of rapamycin signaling in the AAA macrophage population along with an increased number of inflammatory and T-cell activation cascades. To the best of our knowledge, this is the first report of scRNA-seq analysis on human AAA. This cutting-edge technique uncovered novel cell clusters and provided a comprehensive understanding of cellular spatiotemporal changes within the AAA wall. Here we provide novel interconnected mechanistic insights into this complex disease to enrich our understanding of AAA development." @default.
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• W2981781327 date "2019-11-01" @default.
• W2981781327 modified "2023-10-04" @default.
• W2981781327 title "AAA 25. Cell-Specific Profiling of Transcriptional Landscape in Human Abdominal Aortic Aneurysm by Single-Cell RNA Sequencing" @default.
• W2981781327 doi "https://doi.org/10.1016/j.jvs.2019.08.081" @default.
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