Comprehensive Integration of Multiple Single-Cell Transcriptomic Data Sets Defines Distinct Cell Populations and Their Phenotypic Changes in Murine Atherosclerosis.
Vinod ScariaMatthew D WorssamAlbert J PedrozaAlex R DalalHaizea AlemanyHyun-Jung KimRamendra KunduMichael P FischbeinPaul ChengRobert C WirkaThomas QuertermousPublished in: Arteriosclerosis, thrombosis, and vascular biology (2023)
Taken together, these analyses resolve a number of outstanding issues related to differing results reported with vascular disease single-cell RNA sequencing studies, and significantly extend our understanding of the role of resident vascular cells in anatomy and disease.
Keyphrases
- single cell
- rna seq
- high throughput
- induced apoptosis
- cardiovascular disease
- cell cycle arrest
- patient safety
- electronic health record
- quality improvement
- stem cells
- cell death
- endoplasmic reticulum stress
- signaling pathway
- machine learning
- mesenchymal stem cells
- deep learning
- data analysis
- case control
- genetic diversity