Single Cell RNA-Sequencing for the Study of Atherosclerosis
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Single Cell RNA-Sequencing for the Study of Atherosclerosis. / Hajkarim, Morteza Chalabi; Won, Kyoung Jae.
In: Journal of Lipid and Atherosclerosis, Vol. 8, No. 2, 2019, p. 152-161.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Single Cell RNA-Sequencing for the Study of Atherosclerosis
AU - Hajkarim, Morteza Chalabi
AU - Won, Kyoung Jae
PY - 2019
Y1 - 2019
N2 - Atherosclerosis is a major cause of coronary artery disease and stroke. A massive and newtype of data has finally arrived in the field of atherosclerosis: single cell RNA sequencing(scRNAseq). Recently, scRNAseq has been successfully applied to the study of atherosclerosisto identify previously uncharacterized cell populations. scRNAseq is an effective approachto evaluate heterogeneous cell populations by measuring the transcriptomic profiles atthe single cell level. Besides the studies of atherosclerosis, scRNAseq is being employedin various areas of biology, including cancer research and organ development. In order toanalyze these new massive datasets, various analytic approaches have been developed. Thisreview aims to enhance the understanding of this new technology by exploring how thesingle cell transcriptome has been applied to the study of atherosclerosis and further discusspotential analysis of using scRNAseq.
AB - Atherosclerosis is a major cause of coronary artery disease and stroke. A massive and newtype of data has finally arrived in the field of atherosclerosis: single cell RNA sequencing(scRNAseq). Recently, scRNAseq has been successfully applied to the study of atherosclerosisto identify previously uncharacterized cell populations. scRNAseq is an effective approachto evaluate heterogeneous cell populations by measuring the transcriptomic profiles atthe single cell level. Besides the studies of atherosclerosis, scRNAseq is being employedin various areas of biology, including cancer research and organ development. In order toanalyze these new massive datasets, various analytic approaches have been developed. Thisreview aims to enhance the understanding of this new technology by exploring how thesingle cell transcriptome has been applied to the study of atherosclerosis and further discusspotential analysis of using scRNAseq.
U2 - 10.12997/jla.2019.8.2.152
DO - 10.12997/jla.2019.8.2.152
M3 - Journal article
C2 - 32821705
VL - 8
SP - 152
EP - 161
JO - Journal of Lipid and Atherosclerosis
JF - Journal of Lipid and Atherosclerosis
SN - 2287-2892
IS - 2
ER -
ID: 237514696