Evidence map›Paper›PMID 35343966›Full record

ArticleJournal of visualized experiments : JoVE2022

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level.

Naseeb Kaur Malhi, Yingjun Luo, Xiaofang Tang, Kiran Sriram, Riccardo Calandrelli, Sheng Zhong, Zhen Bouman Chen

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Vascular Regulation by Super Enhancer-Derived LINC00607.Frontiers in cardiovascular medicine · 2022
    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

7 authors at 2 institutions in 1 country.

Naseeb Kaur Malhi *Department of Diabetes Complications and Metabolism, City of Hope.
Yingjun Luo *Department of Diabetes Complications and Metabolism, City of Hope.
Xiaofang Tang *Department of Diabetes Complications and Metabolism, City of Hope.
Kiran SriramDepartment of Diabetes Complications and Metabolism, City of Hope; Irell and Manella Graduate School of Biological Sciences, City of Hope.
Riccardo CalandrelliDepartment of Bioengineering, University of California San Diego.
Sheng ZhongDepartment of Bioengineering, University of California San Diego.
Zhen Bouman ChenDepartment of Diabetes Complications and Metabolism, City of Hope; Irell and Manella Graduate School of Biological Sciences, City of Hope; zhenchen@coh.org.
City of Hope · USUniversity of California, San Diego · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
Systems Biology Analyses for Hemodynamic Regulation of Vascular HomeostasisR01HL108735 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2012 to 2024
$13.4M
Role of Spatiotemporal Epigenetic Dynamics in Regulating Endothelial Gene Expressions under FlowsR01HL121365 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHIEN, SHU, WANG, YINGXIAO · 2014 to 2025
$7.5M
Transcriptional Regulation by Angiotensin II in Vascular Smooth Muscle CellsR01HL106089 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2011 to 2024
$6.6M
Mapping RNA interactomes by sequencingDP1HD087990 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2019
$3.9M
Extremely high-throughput mapping of protein, RNA, and chromatin interactions in health and diseaseDP1DK126138 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2020 to 2024
$3.7M
Long non-coding RNA-mediated chromatin remodeling in angiogenesisR01HL145170 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, ZHEN BOUMAN · 2019 to 2023
$2.6M
Revealing protein-protein interactions and RNA-protein interactions at genome-scale in two weeksR01GM138852 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2020 to 2023
$1.5M
NCI NIH HHS P30 CA033572NHLBI NIH HHS R01 HL106089NHLBI NIH HHS R01 HL108735NHLBI NIH HHS R01 HL121365NHLBI NIH HHS R01 HL145170NICHD NIH HHS DP1 HD087990NIDDK NIH HHS DP1 DK126138NIGMS NIH HHS R01 GM138852
6 · The paper itself

Abstract

Endothelial cells (ECs) are crucial for vascular and whole-body function through their dynamic response to environmental cues. Elucidating the transcriptome and epigenome of ECs is paramount to understanding their roles in development, health, and disease, but is limited in the availability of isolated primary cells. Recent technologies have enabled the high-throughput profiling of EC transcriptome and epigenome, leading to the identification of previously unknown EC cell subpopulations and developmental trajectories. While EC cultures are a useful tool in the exploration of EC function and dysfunction, the culture conditions and multiple passages can introduce external variables that alter the properties of native EC, including morphology, epigenetic state, and gene expression program. To overcome this limitation, the present paper demonstrates a method of isolating human primary ECs from donor mesenteric arteries aiming to capture their native state. ECs in the intimal layer are dissociated mechanically and biochemically with the use of particular enzymes. The resultant cells can be directly used for bulk RNA or single-cell RNA-sequencing or plated for culture. In addition, a workflow is described for the preparation of human arterial tissue for spatial transcriptomics, specifically for a commercially available platform, although this method is also suitable for other spatial transcriptome profiling techniques. This methodology can be applied to different vessels collected from a variety of donors in health or disease states to gain insights into EC transcriptional and epigenetic regulation, a pivotal aspect of endothelial cell biology.

Indexed as

Endothelial CellsTranscriptomeEndothelium, VascularEpigenesis, GeneticGene Expression ProfilingHumans

Identifiers

PMID35343966
PMCPMC9180814
OpenAlexW4220768837

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.