Evidence mapPaperPMID 31768474Full record

ArticleJACC. Basic to translational science2019

Comparative Transcriptomics of

Joshua A Beckman, Sean P Doherty, Zachary B Feldman, Emily S Banks, Javid Moslehi, Iris Z Jaffe, Naomi M Hamburg, Quanhu Sheng, Jonathan D Brown

Open access · goldAbstract read
In one paragraph

Article in JACC. Basic to translational science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. 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

9 authors at 4 institutions in 1 country.

Joshua A BeckmanDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Sean P DohertyDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Zachary B FeldmanDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Emily S BanksDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Javid MoslehiDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Iris Z JaffeMolecular Cardiology Research Institute, Tufts Medical Center, Boston, Massachusetts.
Naomi M HamburgEvans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, Massachusetts.
Quanhu ShengCenter for Quantitative Sciences, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
Jonathan D BrownDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Vanderbilt University Medical Center · USBoston University · USTufts Medical Center · USVanderbilt University · US

Funding

NHLBI NIH HHS R01 HL115391NHLBI NIH HHS R01 HL131977
6 · The paper itself

Abstract

In this study low-input RNA-sequencing was used to annotate the molecular identity of endothelial cells isolated and immunopurified with CD144 microbeads. Using this technique, comparative gene expression profiling from healthy subjects and patients with type 2 diabetes mellitus identified both known and novel pathways linked with EC dysfunction. Modeling of diabetes by treating cultured ECs with high glucose identified shared changes in gene expression in diabetic cells. Overall, the data demonstrate how purified ECs from patients can be used to generate new hypotheses about mechanisms of human vascular disease.

Indexed as

BSA, bovine serum albuminddCt, delta-delta cycle thresholddiabetes mellitusEC, endothelial cellEDTA, ethylenediamine tetra-acetic acidendothelial cell dysfunctionendothelial cellsFACS, fluorescence activated cell sortingFDR, false discovery rategene expressionGSEA, gene set enrichment analysisHUVEC, human umbilical vein endothelial cellIV, intravenousPBS, phosphate buffered salineqPCR, quantitative polymerase chain reactionSeq, sequencingT2DM, type 2 diabetes mellitusTGFβ, transforming growth factor betaVEGF, vascular endothelial growth factorVUMC, Vanderbilt University Medical CenterWBC, white blood cell

Identifiers

PMID31768474
PMCPMC6872769
OpenAlexW2975768640

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.