Evidence map›Paper›PMID 32296715›Full record

ReviewFrontiers in cardiovascular medicine2020

Single Cell Analysis in Vascular Biology.

Nicholas W Chavkin, Karen K Hirschi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

44 citing papers in PubMed, 74 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Alk1 acts in non-endothelial VE-cadherinNature communications · 2023
    Article
  17. Review
  18. Article
  19. Review
  20. Review
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

2 authors at 2 institutions in 1 country.

Nicholas W ChavkinDepartment of Cell Biology, Developmental Genomics Center, School of Medicine, University of Virginia, Charlottesville, VA, United States.
Karen K HirschiDepartment of Cell Biology, Developmental Genomics Center, School of Medicine, University of Virginia, Charlottesville, VA, United States.
University of Virginia · USYale University · US

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
Tissue Chips for Rare Disease: Adding Timothy Syndrome to the HeLIVaSkCa platformUH3EB017103 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI VUNJAK-NOVAKOVIC, GORDANA · 2014 to 2016
$7.1M
Neurovascular RegenerationR01EB016629 · NIBIB · YALE UNIVERSITY · PI HIRSCHI, KAREN KEMPER · 2014 to 2018
$4.8M
Multi-tissue platform for modeling systemic pathologiesUH3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2019 to 2021
$4.0M
Multi-tissue platform for modeling systemic pathologiesUG3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2017 to 2019
$2.8M
Specification of Hemogenic Endothelial CellsR01HL128064 · NHLBI · YALE UNIVERSITY · PI DICKINSON, MARY E, HIRSCHI, KAREN KEMPER · 2015 to 2018
$2.6M
Endothelial Cell Cycle State and Cell FateR01HL146056 · NHLBI · UNIVERSITY OF VIRGINIA · PI HIRSCHI, KAREN KEMPER · 2019 to 2022
$2.1M
Integrated heart-liver-vascular systems for drug testing in human health and diseUH2EB017103 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI VUNJAK-NOVAKOVIC, GORDANA · 2012 to 2013
$1.7M
NHLBI NIH HHS R01 HL128064NHLBI NIH HHS R01 HL146056NHLBI NIH HHS T32 HL007284NIBIB NIH HHS R01 EB016629NIBIB NIH HHS UG3 EB025765NIBIB NIH HHS UH2 EB017103NIBIB NIH HHS UH3 EB017103NIBIB NIH HHS UH3 EB025765
6 · The paper itself

Abstract

The ability to quantify DNA, RNA, and protein variations at the single cell level has revolutionized our understanding of cellular heterogeneity within tissues. Via such analyses, individual cells within populations previously thought to be homogeneous can now be delineated into specific subpopulations expressing unique sets of genes, enabling specialized functions. In vascular biology, studies using single cell RNA sequencing have revealed extensive heterogeneity among endothelial and mural cells even within the same vessel, key intermediate cell types that arise during blood and lymphatic vessel development, and cell-type specific responses to disease. Thus, emerging new single cell analysis techniques are enabling vascular biologists to elucidate mechanisms of vascular development, homeostasis, and disease that were previously not possible. In this review, we will provide an overview of single cell analysis methods and highlight recent advances in vascular biology made possible through single cell RNA sequencing.

Indexed as

bioinformaticsgenomic analysissingle cell analysisvascular developmentvascular disease

Identifiers

PMID32296715
PMCPMC7137757
OpenAlexW3014812271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.