Evidence map›Paper›PMID 24326998›Full record

ArticleScientific reports2013

Matrix identity and tractional forces influence indirect cardiac reprogramming.

Yen P Kong, Bita Carrion, Rahul K Singh, Andrew J Putnam

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Engineering microenvironment for human cardiac tissue assembly in heart-on-a-chip platform.Matrix biology : journal of the International Society for Matrix Biology · 2020
    Article
  9. Review
  10. Article
  11. Extracellular Matrix in Regulation of Contractile System in Cardiomyocytes.International journal of molecular sciences · 2019
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Biophysical regulation of cell reprogramming.Current opinion in chemical engineering · 2017
    Article
  17. 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.

Yen P KongDepartment of Biomedical Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA.
Bita Carrion
Rahul K Singh
Andrew J Putnam

Funding

Tissue Engineering and RegenerationT32DE007057 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID H. KOHN · 1985 to 2026
$17.3M
NIDCR NIH HHS T32 DE007057NIDCR NIH HHS T32-DE007057
6 · The paper itself

Abstract

Heart regeneration through in vivo cardiac reprogramming has been demonstrated as a possible regenerative strategy. While it has been reported that cardiac reprogramming in vivo is more efficient than in vitro, the influence of the extracellular microenvironment on cardiac reprogramming remains incompletely understood. This understanding is necessary to improve the efficiency of cardiac reprogramming in order to implement this strategy successfully. Here we have identified matrix identity and cell-generated tractional forces as key determinants of the dedifferentiation and differentiation stages during reprogramming. Cell proliferation, matrix mechanics, and matrix microstructure are also important, but play lesser roles. Our results suggest that the extracellular microenvironment can be optimized to enhance cardiac reprogramming.

Indexed as

Cellular ReprogrammingRegenerationAnimalsAscorbic AcidCell DedifferentiationCell DifferentiationCell LineCell ProliferationCollagen Type IExtracellular MatrixFibrinFibroblastsHumansHydrogel, Polyethylene Glycol DimethacrylateMiceMyocytes, CardiacAscorbic AcidCollagen Type IFibrinHydrogel, Polyethylene Glycol DimethacrylateThrombin

Identifiers

PMID24326998
PMCPMC3858798

What OpenQuestion 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 OpenQuestion graph.