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Pluripotency of induced pluripotent stem cells

Overview of attention for article published in Journal of Animal Science and Biotechnology, February 2012
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Title
Pluripotency of induced pluripotent stem cells
Published in
Journal of Animal Science and Biotechnology, February 2012
DOI 10.1186/2049-1891-3-5
Pubmed ID
Authors

Lan Kang, Shaorong Gao

Abstract

Recent studies have demonstrated that differentiated somatic cells from various mammalian species can be reprogrammed into induced pluripotent stem (iPS) cells by the ectopic expression of four transcription factors that are highly expressed in embryonic stem (ES) cells. The generation of patient-specific iPS cells directly from somatic cells without using oocytes or embryos holds great promise for curing numerous diseases that are currently unresponsive to traditional clinical approaches. However, some recent studies have argued that various iPS cell lines may still retain certain epigenetic memories that are inherited from the somatic cells. Such observations have raised concerns regarding the safety and efficacy of using iPS cell derivatives for clinical applications. Recently, our study demonstrated full pluripotency of mouse iPS cells by tetraploid complementation, indicating that it is possible to obtain fully reprogrammed iPS cells directly from differentiated somatic cells. Therefore, we propose in this review that further comprehensive studies of both mouse and human iPS cells are required so that additional information will be available for evaluating the quality of human iPS cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
China 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Researcher 13 19%
Student > Ph. D. Student 13 19%
Student > Bachelor 10 14%
Student > Doctoral Student 8 12%
Other 6 9%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 54%
Biochemistry, Genetics and Molecular Biology 11 16%
Medicine and Dentistry 9 13%
Neuroscience 3 4%
Engineering 2 3%
Other 1 1%
Unknown 6 9%