Evidence map›Paper›PMID 22408700›Full record

ArticleJournal of experimental and clinical medicine2010

Induced Pluripotent Stem Cells-A New Foundation in Medicine.

George T-J Huang

Abstract read
In one paragraph

Article in Journal of experimental and clinical medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Current Progress of Tissue Engineering With Stem Cells in Urology Updated Review in 2025.International journal of urology : official journal of the Japanese Urological Association · 2025
    Review
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  5. Review
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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

1 author.

George T-J HuangDepartment of Endodontics, Boston University School of Dental Medicine, Boston, Massachusetts, USA.

Funding

Stem Cell Based Therapy for Regenerative Endodontics R01DE019156 · NIDCR · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI HUANG, GEORGE T.J · 2008 to 2013
$1.8M
NIDCR NIH HHS R01 DE019156
6 · The paper itself

Abstract

Generation of induced pluripotent stem (iPS) cells using defined factors has been considered a ground-breaking step towards establishing patient-specific pluripotent stem cells for various applications. The isolation of human embryonic stem (ES) cells set the standard that pluripotent stem cells are attainable as potentially immortal cells for regeneration of many types of tissues. Different approaches have been tested to obtain pluripotent stem cells by circumventing the need for embryos. iPS cells appear to be an ideal substitute for ES cells. Since the first demonstration of creating iPS cells in 2006, tremendous efforts have been made into improving iPS cell generation methods and understanding the reprogramming mechanism as well as the nature of iPS cells. To improve iPS cell generation, several approaches have been taken: (1) eliminate the viral vector integration after delivering the defined factors; (2) select different cell types that more effectively give rise to iPS cells; (3) use of chemicals to facilitate reprogramming; (4) use of protein factors to reprogram cells. The iPS cells are also being rigorously characterized in comparison to ES cells. All these efforts are made for the purpose of making iPS cells closer to clinical applications. This article will give an overview of the following areas: (1) mechanisms of iPS cell derivation; (2) characterization of iPS cells; (3) iPS cells for cell-based therapy; and (4) iPS cells for studying disease mechanism. Questions as to what aspects of iPS cells require further understanding before they may be put to clinical use are also discussed.

Identifiers

PMID22408700
PMCPMC3298413

What OpenQuestion holds

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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.