ArticleFrontiers in cardiovascular medicine2022
PlaqView 2.0: A comprehensive web portal for cardiovascular single-cell genomics.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences.European heart journal · 2026Article
- Genetically determined ancestry associates with morphological and molecular carotid plaque features.Atherosclerosis · 2026Article
- Elevated Asporin expression in human atherosclerotic plaques promotes their stability and reduces the risk for cardiovascular events.Cardiovascular research · 2026Article
- Insights, opportunities, and challenges provided by large cell atlases.Genome biology · 2025Review
- Coronary artery disease-associated variants regulate vascular smooth muscle cell gene expression.Nature cardiovascular research · 2025Article
- Current status and challenges of multi-omics research using animal models of atherosclerosis.Journal of molecular and cellular cardiology plus · 2025Review
- Article
- Article
- Omics Approaches Unveiling the Biology of Human Atherosclerotic Plaques.The American journal of pathology · 2024Review
- SPP1/osteopontin: a driver of fibrosis and inflammation in degenerative ascending aortic aneurysm?Journal of molecular medicine (Berlin, Germany) · 2023Article
- Spatial Metabolomics and the Vulnerable Atherosclerotic Plaque.Arteriosclerosis, thrombosis, and vascular biology · 2023Article
- Uncovering Protein Networks in Cardiovascular Proteomics.Molecular & cellular proteomics : MCP · 2023Review
- Dipeptidyl Peptidase 4/Midline-1 Axis Promotes T Lymphocyte Motility in Atherosclerosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Single-cell RNA-seq (scRNA-seq) is a powerful genomics technology to interrogate the cellular composition and behaviors of complex systems. While the number of scRNA-seq datasets and available computational analysis tools have grown exponentially, there are limited systematic data sharing strategies to allow rapid exploration and re-analysis of single-cell datasets, particularly in the cardiovascular field. We previously introduced PlaqView, an open-source web portal for the exploration and analysis of published atherosclerosis single-cell datasets. Now, we introduce PlaqView 2.0 (www.plaqview.com), which provides expanded features and functionalities as well as additional cardiovascular single-cell datasets. We showcase improved PlaqView functionality, backend data processing, user-interface, and capacity. PlaqView brings new or improved tools to explore scRNA-seq data, including gene query, metadata browser, cell identity prediction,
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.