Evidence map›Paper›PMID 28007424›Full record

ReviewTrends in cell biology2017

Recreating the Cardiac Microenvironment in Pluripotent Stem Cell Models of Human Physiology and Disease.

Ayhan Atmanli, Ibrahim John Domian

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Considerations for anFrontiers in pharmacology · 2019
    Review
  7. Review
  8. YAP repression of theGenes & development · 2017
    Article
  9. 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.

Ayhan AtmanliCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Biomedical Engineering, Tufts University, Medford, MA, USA.
Ibrahim John DomianCardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard Stem Cell Institute, Cambridge, MA, USA. Electronic address: domian@mgh.harvard.edu.

Funding

Human Pluripotent Stem Cell and Progenitor Models of Cardiac and Blood DiseasesU01HL100408 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI COWAN, CHAD ALBERT, MELTON, DOUGLAS A · 2009 to 2015
$8.9M
The Role of Cardiomyocyte Polarity in Cardiac MorphogenesisR01HL130391 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DOMIAN, IBRAHIM J · 2016 to 2019
$1.7M
NHLBI NIH HHS R01 HL130391NHLBI NIH HHS U01 HL100408
6 · The paper itself

Abstract

The advent of human pluripotent stem cell (hPSC) biology has opened unprecedented opportunities for the use of tissue engineering to generate human cardiac tissue for in vitro study. Engineering cardiac constructs that recapitulate human development and disease requires faithful recreation of the cardiac niche in vitro. Here we discuss recent progress in translating the in vivo cardiac microenvironment into PSC models of the human heart. We review three key physiologic features required to recreate the cardiac niche and facilitate normal cardiac differentiation and maturation: the biochemical, biophysical, and bioelectrical signaling cues. Finally, we discuss key barriers that must be overcome to fulfill the promise of stem cell biology in preclinical applications and ultimately in clinical practice.

Indexed as

Cellular MicroenvironmentDiseaseModels, BiologicalPhysiological PhenomenaHumansPluripotent Stem Cellscardiac myocytescardiac nichecellular microenvironmentdisease modelingpluripotent stem cellstissue engineering

Identifiers

PMID28007424
PMCPMC5403626

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Registered trials

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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.