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Cited by 384

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

Induced pluripotent stem cells: current progress and potential for regenerative medicine

Open access
Amabile, Giovanni, Meissner, Alexander·2009·Trends in Molecular Medicine

Abstract

Lineage-restricted cells can be reprogrammed to a pluripotent state through overexpression of defined transcription factors. Here, we summarize recent progress in the direct reprogramming field and discuss data comparing embryonic stem (ES) and induced pluripotent stem (iPS) cells. Results from many independent groups suggest that mouse and human iPS cells, once established, generally exhibit a normal karyotype, are transcriptionally and epigenetically similar to ES cells and maintain the potential to differentiate into derivatives of all germ layers. Recent developments provide optimism that safe, viral-free human iPS cells could be derived routinely in the near future. An important next step will be to identify ways of assessing which iPS cell lines are sufficiently reprogrammed and safe to use for therapeutic applications. The approach of generating patient-specific pluripotent cells will undoubtedly transform regenerative medicine in many ways.

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Crossref · 10.1016/j.molmed.2008.12.003

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Metadata

Authors
Amabile, G., & Meissner, A.
Venue
Trends in Molecular Medicine
Publisher
Elsevier BV
Published
2009-02
Volume
15
Issue
2
Pages
59-68
ISSN
1471-4914 (ISSN-L)
OpenAlex
W2110448418
Cited by
384
References
79
FWCI
3.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Induced pluripotent stem cells: current progress and potential for regenerative medicine. https://app.cochat.ai/papers/10.1016/j.molmed.2008.12.003
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Amabile, G., & Meissner, A. (2009). Induced pluripotent stem cells: current progress and potential for regenerative medicine. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2008.12.003

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.