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Reprogramming to Pluripotency through a Somatic Stem Cell Intermediate

Overview of attention for article published in PLOS ONE, December 2013
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Title
Reprogramming to Pluripotency through a Somatic Stem Cell Intermediate
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0085138
Pubmed ID
Authors

Adele G. Marthaler, Ulf Tiemann, Marcos J. Araúzo-Bravo, Guangming Wu, Holm Zaehres, Jung Keun Hyun, Dong Wook Han, Hans R. Schöler, Natalia Tapia

Abstract

Transcription factor-based reprogramming can lead to the successful switching of cell fates. We have recently reported that mouse embryonic fibroblasts (MEFs) can be directly reprogrammed into induced neural stem cells (iNSCs) after the forced expression of Brn4, Sox2, Klf4, and Myc. Here, we tested whether iNSCs could be further reprogrammed into induced pluripotent stem cells (iPSCs). The two factors Oct4 and Klf4 were sufficient to induce pluripotency in iNSCs. Immunocytochemistry and gene expression analysis showed that iNSC-derived iPSCs (iNdiPSCs) are similar to embryonic stem cells at the molecular level. In addition, iNdiPSCs could differentiate into cells of all three germ layers, both in vitro and in vivo, proving that iNdiPSCs are bona fide pluripotent cells. Furthermore, analysis of the global gene expression profile showed that iNdiPSCs, in contrast to iNSCs, do not retain any MEF transcriptional memory even at early passages after reprogramming. Overall, our results demonstrate that iNSCs can be reprogrammed to pluripotency and suggest that cell fate can be redirected numerous times. Importantly, our findings indicate that the induced pluripotent cell state may erase the donor-cell type epigenetic memory more efficiently than other induced somatic cell fates.

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The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 8 18%
Professor > Associate Professor 4 9%
Student > Doctoral Student 4 9%
Student > Master 4 9%
Other 9 20%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 32%
Biochemistry, Genetics and Molecular Biology 13 30%
Medicine and Dentistry 5 11%
Immunology and Microbiology 2 5%
Neuroscience 2 5%
Other 2 5%
Unknown 6 14%