ReviewFrontiers in cardiovascular medicine2019
Single-Cell RNA Sequencing of the Cardiovascular System: New Looks for Old Diseases.
Review in Frontiers in cardiovascular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 52 citations in OpenAlex.
- Review
- Long noncoding RNAs in familial hypercholesterolemia: biomarkers, therapeutics, and AI in precision medicine.Lipids in health and disease · 2025Review
- gSELECT: A novel pre-analysis machine-learning library enabling early hypothesis testing and predictive gene selection in single-cell data.Computational and structural biotechnology journal · 2025Article
- Effects of Chinese Medicine on modulating interleukin-17-regulated macrophages in coronary heart disease.Frontiers in pharmacology · 2025Review
- Non-Coding RNA-Mediated Gene Regulation in Cardiovascular Disorders: Current Insights and Future Directions.Journal of cardiovascular translational research · 2024Review
- Innovative aspects and applications of single cell technology for different diseases.American journal of cancer research · 2024Review
- Single-cell transcriptional landscape of long non-coding RNAs orchestrating mouse heart development.Cell death & disease · 2023Article
- Transcriptome studies of inherited dilated cardiomyopathies.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- Identification and in-silico characterization of splice-site variants from a large cardiogenetic national registry.European journal of human genetics : EJHG · 2023Article
- Improving head and neck cancer therapies by immunomodulation of the tumour microenvironment.Nature reviews. Cancer · 2023Review
- Single-cell RNA-seq uncovers distinct pathways and genes in endothelial cells during atherosclerosis progression.Frontiers in molecular biosciences · 2023Article
- Single-cell transcriptomics reveals zinc and copper ions homeostasis in epicardial adipose tissue of heart failure.International journal of biological sciences · 2023Article
- Spermiogenesis alterations in the absence of CTCF revealed by single cell RNA sequencing.Frontiers in cell and developmental biology · 2023Article
- Integration of multiple imaging platforms to uncover cardiovascular defects in adult zebrafish.Cardiovascular research · 2022Article
- Tissue Engineering Techniques for Induced Pluripotent Stem Cell Derived Three-Dimensional Cardiac Constructs.Tissue engineering. Part B, Reviews · 2022Review
- Review
- Review
- Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients.Computational and mathematical methods in medicine · 2022Article
- Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2022Review
- Single-cell RNA sequencing in atherosclerosis: Mechanism and precision medicine.Frontiers in pharmacology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Cardiovascular disease encompasses a wide range of conditions, resulting in the highest number of deaths worldwide. The underlying pathologies surrounding cardiovascular disease include a vast and complicated network of both cellular and molecular mechanisms. Unique phenotypic alterations in specific cell types, visualized as varying RNA expression-levels (both coding and non-coding), have been identified as crucial factors in the pathology underlying conditions such as heart failure and atherosclerosis. Recent advances in single-cell RNA sequencing (scRNA-seq) have elucidated a new realm of cell subpopulations and transcriptional variations that are associated with normal and pathological physiology in a wide variety of diseases. This breakthrough in the phenotypical understanding of our cells has brought novel insight into cardiovascular basic science. scRNA-seq allows for separation of widely distinct cell subpopulations which were, until recently, simply averaged together with bulk-tissue RNA-seq. scRNA-seq has been used to identify novel cell types in the heart and vasculature that could be implicated in a variety of disease pathologies. Furthermore, scRNA-seq has been able to identify significant heterogeneity of phenotypes within individual cell subtype populations. The ability to characterize single cells based on transcriptional phenotypes allows researchers the ability to map development of cells and identify changes in specific subpopulations due to diseases at a very high throughput. This review looks at recent scRNA-seq studies of various aspects of the cardiovascular system and discusses their potential value to our understanding of the cardiovascular system and pathology.
Indexed as
Identifiers
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.