Evidence map›Paper›PMID 17264853›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2007

Biomaterials approach to expand and direct differentiation of stem cells.

Chou Chai, Kam W Leong

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
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  15. Engineering Approaches to Study Cellular Decision Making.Annual review of biomedical engineering · 2018
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Recent advances of biomaterials in biotherapy.Regenerative biomaterials · 2016
    Review

4 more citing papers are in PubMed but not listed here.

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.

Chou ChaiDuke-NUS Graduate Medical School, Singapore, Singapore.
Kam W Leong

Funding

Biofunctional fibers by polyelectrolyte complexationR01EB003447 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI LEONG, KAM W · 2005 to 2008
$1.1M
NIBIB NIH HHS EB003447NIBIB NIH HHS R01 EB003447
6 · The paper itself

Abstract

Stem cells play increasingly prominent roles in tissue engineering and regenerative medicine. Pluripotent embryonic stem (ES) cells theoretically allow every cell type in the body to be regenerated. Adult stem cells have also been identified and isolated from every major tissue and organ, some possessing apparent pluripotency comparable to that of ES cells. However, a major limitation in the translation of stem cell technologies to clinical applications is the supply of cells. Advances in biomaterials engineering and scaffold fabrication enable the development of ex vivo cell expansion systems to address this limitation. Progress in biomaterial design has also allowed directed differentiation of stem cells into specific lineages. In addition to delivering biochemical cues, various technologies have been developed to introduce micro- and nano-scale features onto culture surfaces to enable the study of stem cell responses to topographical cues. Knowledge gained from these studies portends the alteration of stem cell fate in the absence of biological factors, which would be valuable in the engineering of complex organs comprising multiple cell types. Biomaterials may also play an immunoprotective role by minimizing host immunoreactivity toward transplanted cells or engineered grafts.

Indexed as

AnimalsBiocompatible MaterialsCell DifferentiationHumansNanostructuresStem CellsTissue EngineeringBiocompatible Materials

Identifiers

PMID17264853
PMCPMC2365728

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.