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Single Cell RNA Sequencing in Atherosclerosis Research

Jesse W. Williams, Holger Winkels, Christopher P. Durant, Konstantin Zaitsev, Yanal Ghosheh, Klaus Ley

2020Circulation Research146 citationsDOIOpen Access PDF

Abstract

Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including atherosclerotic plaques. New subsets of cells have been discovered among cell types previously considered homogenous. The commercial availability of systems to obtain transcriptomes and matching surface phenotypes from thousands of single cells is rapidly changing our understanding of cell types and lineage identity. Emerging methods to infer cellular functions are beginning to shed new light on the interplay of components involved in multifaceted disease responses, like atherosclerosis. Here, we provide a technical guide for design, implementation, assembly, and interpretations of current single cell transcriptomics approaches from the perspective of employing these tools for advancing cardiovascular disease research.

Topics & Concepts

Computational biologyBiologyTranscriptomeCell typeCellPhenotypeCell lineageDiseaseLineage (genetic)Single-cell analysisBioinformaticsCellular differentiationGeneticsGeneMedicineGene expressionPathologySingle-cell and spatial transcriptomicsAtherosclerosis and Cardiovascular DiseasesImmune cells in cancer
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