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SRX22059324: Plaque_3
1 ILLUMINA (Illumina NovaSeq 6000) run: 143.8M spots, 18G bases, 5.2Gb downloads

Design: Human atherosclerotic plaques were digested with collagenase to isolate leukocytes on FACS (CD45 positive cells), GEMs were generated from 10,000 leukocytes and the 10x genomics protocol was followed to prepare the library and the sequencing depth was 50,000 read pairs/cell.
Submitted by: Medical University of Graz
Study: Mice are not men: scRNA-sequencing of the human atherosclerotic plaque identifies species-specific immune cell phenotypes that associate with clinical disease
show Abstracthide Abstract
Local and systemic immunity shapes atherosclerosis, the most frequent cause of cardiovascular disease. The distinct function of immune cells has been mostly defined by preclinical mouse studies, while recent immune cell atlases of human atherosclerosis suggest divergent immune cell mechanisms. Until now, it is not clear whether genetic animal models replicate the immunological complexity of human disease. Here we demonstrate significant variations in the immune cell composition in murine and human atherosclerotic plaques by integrative single-cell RNA-sequencing. In contrast to widely applied mouse models, human plaque leukocytes primarily contained various T-cell phenotypes displaying activation, memory formation, and pro-inflammatory signaling. In a clinical validation cohort, the abundance of activated T cell clusters in human plaques associated with the extend of clinical disease emphasizing the specific role of T-cell-driven immunity in plaque development and instability. Collectively, our study questions the translatability of mouse models for studying the immune system in atherosclerosis.
Sample:
SAMN37739486 • SRS19129402 • All experiments • All runs
Library:
Name: Plaque_3
Instrument: Illumina NovaSeq 6000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC SINGLE CELL
Selection: cDNA
Layout: PAIRED
Runs: 1 run, 143.8M spots, 18G bases, 5.2Gb
Run# of Spots# of BasesSizePublished
SRR26351905143,758,44318G5.2Gb2024-11-22

ID:
29988937

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