Evidence map›Paper›PMID 23054660›Full record

ReviewJournal of cardiovascular translational research2013

Direct reprogramming of mouse fibroblasts into cardiac myocytes.

Kohei Inagawa, Masaki Ieda

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Induction of human cardiomyocyte-like cells from fibroblasts by defined factors.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Direct conversion of human fibroblasts into functional osteoblasts by defined factors.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Kohei InagawaDepartment of Clinical and Molecular Cardiovascular Research, Keio University School of Medicine, 35 Shinanomachi, Tokyo, 160-8582, Japan.
Masaki Ieda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potency of specific transcription factors as cell fate determinants was first demonstrated by the discovery of MyoD, a master gene for skeletal muscle transdifferentiation. More recently, the induction of pluripotency in somatic cells using a combination of stem cell-specific transcription factors has been reported. That elegant study altered the approach to regenerative medicine and inspired new strategies for generating specific cell types by introducing combinations of lineage-specific transcription factors. A diverse range of cell types, such as pancreatic β-cells, neurons, chondrocytes, and hepatocytes, can be induced from heterologous cells using lineage-specific reprogramming factors. Furthermore, functional cardiomyocytes can be generated directly from differentiated somatic cells using several combinations of cardiac-enriched defined factors in the mouse. The present article reviews the pioneering and recent studies in cellular reprogramming and discusses the perspectives and challenges of direct cardiac reprogramming in regenerative therapy.

Indexed as

Cellular ReprogrammingAnimalsCell DifferentiationCell LineageCells, CulturedFibroblastsGene Expression Regulation, DevelopmentalHeart DiseasesHumansInduced Pluripotent Stem CellsMiceMyocytes, CardiacPhenotypeRegenerationRegenerative MedicineTranscription FactorsTranscription Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.