ReviewCurrent opinion in hematology2021
Single-cell RNA sequencing to study vascular diversity and function.
Review in Current opinion in hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Decoding Vascular Cell Diversity: Single-Cell Approaches to Mechanisms of Vascular Disease.Circulation research · 2026Review
- Region-specific gene expression and sex inform about disease susceptibility in the aorta.Nature cardiovascular research · 2025Article
- Aortic intimal resident macrophages are essential for maintenance of the non-thrombogenic intravascular state.Nature cardiovascular research · 2022Article
- Engineering the multiscale complexity of vascular networks.Nature reviews. Materials · 2022Review
- Isolation of Murine Retinal Endothelial Cells for Next-Generation Sequencing.Journal of visualized experiments : JoVE · 2021Article
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 2 institutions in 1 country.
Funding
Abstract
purpose of reviewSingle-cell RNA sequencing (scRNA-seq) can capture the transcriptional profile of thousands of individual cells concurrently from complex tissues and with remarkable resolution. Either with the goal of seeking information about distinct cell subtypes or responses to a stimulus, the approach has provided robust information and promoted impressive advances in cardiovascular research. The goal of this review is to highlight strategies and approaches to leverage this technology and bypass potential caveats related to evaluation of the vascular cells. RECENT
findingsAs the most recent technological development, details associated with experimental strategies, analysis, and interpretation of scRNA-seq data are still being discussed and scrutinized by investigators across the vascular field. Compilation of this information is valuable for those using the technology but particularly important to those about to start utilizing scRNA-seq to seek transcriptome information of vascular cells. SUMMARY: As our field progresses to catalog transcriptomes from distinct vascular beds, it is undeniable that scRNA-seq technology is here to stay. Sharing approaches to improve the quality of cell dissociation procedures, analysis, and a consensus of best practices is critical as information from this powerful experimental platform continues to emerge.
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.