ReviewArteriosclerosis, thrombosis, and vascular biology2021
Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease.
Review in Arteriosclerosis, thrombosis, and vascular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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.
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.
Who cites it
27 citing papers in PubMed, 42 citations in OpenAlex.
- Single-cell Technologies in Atherosclerosis: Uncovering Cellular Heterogeneity, Mechanisms, and Therapeutic Opportunities.Current atherosclerosis reports · 2026Review
- Endothelial to mesenchymal transition in cardiovascular diseases: molecular insights and clinical perspectives.European heart journal · 2026Review
- Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology.Journal of nanobiotechnology · 2026Review
- Article
- Single-cell transcriptomic analysis of the human vascular atlas provides new insights into vasorelaxation redundancy and heterogeneity.Frontiers in cardiovascular medicine · 2025Article
- Implementing distinct spatial proteogenomic technologies: opportunities, challenges, and key considerations.Clinical and experimental immunology · 2024Review
- Hormonal influence: unraveling the impact of sex hormones on vascular smooth muscle cells.Biological research · 2024Review
- Dimethyl Fumarate Mediates Sustained Vascular Smooth Muscle Cell Remodeling in a Mouse Model of Cerebral Aneurysm.Antioxidants (Basel, Switzerland) · 2024Article
- Transcriptomics : Approaches to Quantifying Gene Expression and Their Application to Studying the Human Brain.Current topics in behavioral neurosciences · 2024Review
- Identification and functional analysis of senescent cells in the cardiovascular system using omics approaches.American journal of physiology. Heart and circulatory physiology · 2023Review
- Role of Pericytes in Cardiomyopathy-Associated Myocardial Infarction Revealed by Multiple Single-Cell Sequencing Analysis.Biomedicines · 2023Article
- Integrated Pathogenesis of Vascular and Cardiac Valve Disease.Circulation research · 2023Article
- Sortilin enhances fibrosis and calcification in aortic valve disease by inducing interstitial cell heterogeneity.European heart journal · 2023Article
- Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing.Biophysics reviews · 2023Review
- Precision Medicine and the future of Cardiovascular Diseases: A Clinically Oriented Comprehensive Review.Journal of clinical medicine · 2023Review
- Molecular Mechanisms of Vascular Health: Insights From Vascular Aging and Calcification.Arteriosclerosis, thrombosis, and vascular biology · 2023Review
- Vascular Transcriptomics: Investigating Endothelial Activation and Vascular Dysfunction Using Blood Outgrowth Endothelial Cells, Organ-Chips, and RNA Sequencing.Current protocols · 2022Article
- New insights into macrophage subsets in atherosclerosis.Journal of molecular medicine (Berlin, Germany) · 2022Review
- Illuminating the Mechanisms Underlying Sex Differences in Cardiovascular Disease.Circulation research · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
The transition of healthy arteries and cardiac valves into dense, cell-rich, calcified, and fibrotic tissues is driven by a complex interplay of both cellular and molecular mechanisms. Specific cell types in these cardiovascular tissues become activated following the exposure to systemic stimuli including circulating lipoproteins or inflammatory mediators. This activation induces multiple cascades of events where changes in cell phenotypes and activation of certain receptors may trigger multiple pathways and specific alterations to the transcriptome. Modifications to the transcriptome and proteome can give rise to pathological cell phenotypes and trigger mechanisms that exacerbate inflammation, proliferation, calcification, and recruitment of resident or distant cells. Accumulating evidence suggests that each cell type involved in vascular and valvular diseases is heterogeneous. Single-cell RNA sequencing is a transforming medical research tool that enables the profiling of the unique fingerprints at single-cell levels. Its applications have allowed the construction of cell atlases including the mammalian heart and tissue vasculature and the discovery of new cell types implicated in cardiovascular disease. Recent advances in single-cell RNA sequencing have facilitated the identification of novel resident cell populations that become activated during disease and has allowed tracing the transition of healthy cells into pathological phenotypes. Furthermore, single-cell RNA sequencing has permitted the characterization of heterogeneous cell subpopulations with unique genetic profiles in healthy and pathological cardiovascular tissues. In this review, we highlight the latest groundbreaking research that has improved our understanding of the pathological mechanisms of atherosclerosis and future directions for calcific aortic valve disease.
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What OpenQuestion holds
Registered trials
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.