Evidence map›Paper›PMID 34694293›Full record

ArticleJournal of visualized experiments : JoVE2021

Isolation of Murine Retinal Endothelial Cells for Next-Generation Sequencing.

Nicholas W Chavkin, Shelby Cain, Kenneth Walsh, Karen K Hirschi

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

4 authors at 1 institution in 2 countries.

Nicholas W ChavkinDepartment of Cell Biology, University of Virginia School of Medicine; Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine; nwc6qu@virginia.edu.
Shelby CainDepartment of Cell Biology, University of Virginia School of Medicine.
Kenneth WalshRobert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine; Department of Cardiology, University of Virginia School of Medicine; Hematovascular Biology Center, University of Virginia School of Medicine.
Karen K HirschiDepartment of Cell Biology, University of Virginia School of Medicine; Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine; Hematovascular Biology Center, University of Virginia School of Medicine; Yale Cardiovascular Research Center, Yale University School of Medicine.
University of Virginia · US

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
Multidisciplinary Training in Cardiovascular ResearchT32HL007224 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAMBURG, NAOMI MIRIAM, WAINFORD, RICHARD DAVID · 1985 to 2020
$12.3M
Multi-tissue platform for modeling systemic pathologiesUH3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2019 to 2021
$4.0M
Wnt signaling control of vascular phenotype in obesityR01HL142650 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GOKCE, NOYAN, WALSH, KENNETH · 2019 to 2023
$3.1M
miR-223 regulates endothelial to hematopoietic transitionR01DK118728 · NIDDK · YALE UNIVERSITY · PI HIRSCHI, KAREN KEMPER, NICOLI, STEFANIA · 2020 to 2023
$2.9M
Endothelial Cell Cycle State and Cell FateR01HL146056 · NHLBI · UNIVERSITY OF VIRGINIA · PI HIRSCHI, KAREN KEMPER · 2019 to 2022
$2.1M
NHLBI NIH HHS R01 HL142650NHLBI NIH HHS R01 HL146056NHLBI NIH HHS T32 HL007224NHLBI NIH HHS T32 HL007284NIBIB NIH HHS UH3 EB025765NIDDK NIH HHS R01 DK118728
6 · The paper itself

Abstract

Recent improvements in next-generation sequencing have advanced researchers' knowledge of molecular and cellular biology, with several studies revealing novel paradigms in vascular biology. Applying these methods to models of vascular development requires the optimization of cell isolation techniques from embryonic and postnatal tissues. Cell yield, viability, and purity all need to be maximal to obtain accurate and reproducible results from next-generation sequencing approaches. The neonatal mouse retinal vascularization model is used by researchers to study mechanisms of vascular development. Researchers have used this model to investigate mechanisms of angiogenesis and arterial-venous fate specification during blood vessel formation and maturation. Applying next-generation sequencing techniques to study the retinal vascular development model requires optimization of a method for the isolation of retinal endothelial cells that maximizes cell yield, viability, and purity. This protocol describes a method for murine retinal tissue isolation, digestion, and purification using fluorescence-activated cell sorting (FACS). The results indicate that the FACS-purified CD31+/CD45- endothelial cell population is highly enriched for endothelial cell gene expression and exhibits no change in viability for 60 min post-FACS. Included are representative results of next-generation sequencing approaches on endothelial cells isolated using this method, including bulk RNA sequencing and single-cell RNA sequencing, demonstrating that this method for retinal endothelial cell isolation is compatible with next-generation sequencing applications. This method of retinal endothelial cell isolation will allow for advanced sequencing techniques to reveal novel mechanisms of vascular development.

Indexed as

Endothelial CellsRetinal NeovascularizationAnimalsCell SeparationFlow CytometryHigh-Throughput Nucleotide SequencingMice

Identifiers

PMID34694293
PMCPMC8641104
OpenAlexW3207067659

What OpenQuestion holds

Textmetadata
LicenceTDM
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.