Evidence map›Paper›PMID 32324494›Full record

ReviewCirculation research2020

Single Cell RNA Sequencing in Atherosclerosis Research.

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

Abstract readReview
In one paragraph

Review in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. The Pathophysiology of Coronary Artery Disease.The International journal of angiology : official publication of the International College of Angiology, Inc · 2025
    Review
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37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jesse W Williams *From the Department of Integrative Biology and Physiology (J.W.W.), University of Minnesota Medical School, Minneapolis.
Holger Winkels *Laboratory of Inflammation Biology, La Jolla Institute for Immunology, CA (H.W., C.P.D., Y.G., K.L.).
Christopher P DurantLaboratory of Inflammation Biology, La Jolla Institute for Immunology, CA (H.W., C.P.D., Y.G., K.L.).
Konstantin ZaitsevDepartment of Computer Technologies, Information Technologies, Mechanics, and Optics University, Saint Petersburg, Russia (K.Z.).
Yanal GhoshehLaboratory of Inflammation Biology, La Jolla Institute for Immunology, CA (H.W., C.P.D., Y.G., K.L.).
Klaus LeyLaboratory of Inflammation Biology, La Jolla Institute for Immunology, CA (H.W., C.P.D., Y.G., K.L.).

Funding

Transcriptional GenomicsP01HL088093 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WITZTUM, JOSEPH L. · 2008 to 2018
$26.4M
Project 4: APOB-specific CD4 and CD8 T cells exacerbate atherosclerosisP01HL136275 · NHLBI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Catherine C Hedrick · 2017 to 2026
$25.5M
Vascular macrophages and T cells in atherosclerosisR35HL145241 · NHLBI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI LEY, KLAUS F. · 2019 to 2025
$5.9M
Vaccination with MHC-II restricted ApoB100 peptides to prevent atherosclerosisR01HL121697 · NHLBI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI LEY, KLAUS F. · 2015 to 2018
$1.8M
ATHEROSCLEROTIC LESION INITIATION BY RESIDENT AORTIC MACROPHAGE PROLIFERATIONR00HL138163 · NHLBI · UNIVERSITY OF MINNESOTA · PI WILLIAMS, JESSE WARREN · 2019 to 2021
$747k
NHLBI NIH HHS P01 HL088093NHLBI NIH HHS P01 HL136275NHLBI NIH HHS R00 HL138163NHLBI NIH HHS R01 HL121697NHLBI NIH HHS R35 HL145241
6 · The paper itself

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.

Indexed as

Biomedical ResearchGene Expression ProfilingRNA-SeqSingle-Cell AnalysisTranscriptomeAnimalsAtherosclerosisHumansatherosclerosiscardiovascular diseaseimmunologyphenotypetranscriptomic

Identifiers

PMID32324494
PMCPMC7185048

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.