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Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis
Cochain C, Vafadarnejad E, Arampatzi P, Pelisek J, Winkels H, Ley K, Wolf D, Saliba AE et al.. Circulation research, 2018-03-15
Topic: Brain proteins, microglia and lab models
Rationale It is assumed that atherosclerotic arteries contain several macrophage subsets endowed with specific functions. The precise identity of these subsets is poorly characterized as they have been defined by the expression of a restricted number of markers. Objective We have applied single-cell RNA sequencing as an unbiased profiling strategy to interrogate and classify aortic macrophage heterogeneity at the single-cell level in atherosclerosis.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Cochain, C., Vafadarnejad, E., Arampatzi, P., Pelisek, J., Winkels, H., Ley, K., et al. (2018). Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis. Circulation research. https://doi.org/10.1161/circresaha.117.312509
Vancouver
Cochain C, Vafadarnejad E, Arampatzi P, Pelisek J, Winkels H, Ley K, et al. Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis. Circulation research. 2018. doi:10.1161/circresaha.117.312509. PMID: 29545365.
BibTeX
@article{cochain2018-29545365,
author = {Cochain, C. and Vafadarnejad, E. and Arampatzi, P. and Pelisek, J. and Winkels, H. and Ley, K. and Wolf, D. and Saliba, A. E. and others},
title = {{Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis}},
journal = {Circulation research},
year = {2018},
doi = {10.1161/circresaha.117.312509},
pmid = {29545365},
url = {https://doi.org/10.1161/circresaha.117.312509}
}
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Key findings
- The precise identity of these subsets is poorly characterized as they have been defined by the expression of a restricted number of markers.
- Objective We have applied single-cell RNA sequencing as an unbiased profiling strategy to interrogate and classify aortic macrophage heterogeneity at the single-cell level in atherosclerosis.
- Method and results We performed single-cell RNA sequencing of total aortic CD45 + cells extracted from the nondiseased (chow fed) and atherosclerotic (11 weeks of high-fat diet) aorta of low-density lipoprotein receptor-deficient ( Ldlr -/- ) mice.
- Unsupervised clustering singled out 13 distinct aortic cell clusters.
Why it matters
In mice bred to develop atherosclerosis (Ldlr-/-), researchers sequenced single immune cells (CD45+) from the aorta, comparing animals on a normal diet with animals after 11 weeks of a high-fat diet, and found "13 distinct aortic cell clusters". It is a map of immune cells in diseased arteries, not a brain or dementia study. It does not test any treatment, cure or prevention for Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 55/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Circulation research) |
| Journal's citation record | 4 / 4 | Circulation Research: journal h-index 507 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2018 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Laboratory or animal study (title names “murine”) — scores zero |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 6 / 7 | Cited 888 times (OpenAlex, 2026-10-10) |
| Citations per year | 5 / 5 | 88.8 citations a year over 10 year(s) since 2018 |
| Impact for its field and year | 5 / 6 | Cited 25.4× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 3 / 6 | Cited by 27 other studies in this library |
| Still being cited | 4 / 4 | Cited 331 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Alma Zernecke: h-index 79 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Technical University of Munich: institution h-index 1,092 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 8 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 29545365) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 55 / 100 | — |
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