Literature DB >> 21898693

A microRNA-based system for selecting and maintaining the pluripotent state in human induced pluripotent stem cells.

Bruno Di Stefano1, Sara Martina Maffioletti, Bernhard Gentner, Federica Ungaro, Giulia Schira, Luigi Naldini, Vania Broccoli.   

Abstract

Induced pluripotent stem cell (iPSC) technology has provided researchers with a unique tool to derive disease-specific stem cells for the study and possible treatment of degenerative disorders with autologous cells. The low efficiency and heterogeneous nature of reprogramming is a major impediment to the generation of personalized iPSC lines. Here, we report the generation of a lentiviral system based on a microRNA-regulated transgene that enables for the efficient selection of mouse and human pluripotent cells. This system relies on the differential expression pattern of the mature form of microRNA let7a in pluripotent versus committed or differentiated cells. We generated microRNA responsive green fluorescent protein and Neo reporters for specific labeling and active selection of the pluripotent cells in any culture condition. We used this system to establish Rett syndrome and Parkinson's disease human iPSCs. The presented selection procedure represents a straightforward and powerful tool for facilitating the derivation of patient-specific iPSCs.
Copyright © 2011 AlphaMed Press.

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Year:  2011        PMID: 21898693     DOI: 10.1002/stem.726

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  12 in total

1.  A double-switch vector system positively regulates transgene expression by endogenous microRNA expression (miR-ON vector).

Authors:  Mario Amendola; Alice Giustacchini; Bernhard Gentner; Luigi Naldini
Journal:  Mol Ther       Date:  2013-02-26       Impact factor: 11.454

Review 2.  MicroRNA-regulated viral vectors for gene therapy.

Authors:  Anja Geisler; Henry Fechner
Journal:  World J Exp Med       Date:  2016-05-20

3.  C/EBPα poises B cells for rapid reprogramming into induced pluripotent stem cells.

Authors:  Bruno Di Stefano; Jose Luis Sardina; Chris van Oevelen; Samuel Collombet; Eric M Kallin; Guillermo P Vicent; Jun Lu; Denis Thieffry; Miguel Beato; Thomas Graf
Journal:  Nature       Date:  2013-12-15       Impact factor: 49.962

Review 4.  MicroRNAs: Important Regulators of Induced Pluripotent Stem Cell Generation and Differentiation.

Authors:  Zhao-Lin Zeng; Xiao-Long Lin; Li-Lan Tan; Ya-Mi Liu; Kai Qu; Zuo Wang
Journal:  Stem Cell Rev Rep       Date:  2018-02       Impact factor: 5.739

Review 5.  Modeling neurodevelopmental disorders using human pluripotent stem cells.

Authors:  Michael Telias; Dalit Ben-Yosef
Journal:  Stem Cell Rev Rep       Date:  2014-08       Impact factor: 5.739

6.  Dynamic Activity of miR-125b and miR-93 during Murine Neural Stem Cell Differentiation In Vitro and in the Subventricular Zone Neurogenic Niche.

Authors:  Annalisa Lattanzi; Bernhard Gentner; Daniela Corno; Tiziano Di Tomaso; Pieter Mestdagh; Frank Speleman; Luigi Naldini; Angela Gritti
Journal:  PLoS One       Date:  2013-06-27       Impact factor: 3.240

7.  Synergetic cooperation of microRNAs with transcription factors in iPS cell generation.

Authors:  Jie Chen; Guiying Wang; Chenqi Lu; Xudong Guo; Wujun Hong; Jiuhong Kang; Jianmin Wang
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

8.  Functional Studies of microRNAs in Neural Stem Cells: Problems and Perspectives.

Authors:  Malin Akerblom; Rohit Sachdeva; Johan Jakobsson
Journal:  Front Neurosci       Date:  2012-02-07       Impact factor: 4.677

9.  The potential of iPS cells in synucleinopathy research.

Authors:  Leonhard Linta; Marianne Stockmann; Tobias M Boeckers; Alexander Kleger; Stefan Liebau
Journal:  Stem Cells Int       Date:  2012-03-18       Impact factor: 5.443

10.  Time-resolved gene expression profiling during reprogramming of C/EBPα-pulsed B cells into iPS cells.

Authors:  Bruno Di Stefano; Samuel Collombet; Thomas Graf
Journal:  Sci Data       Date:  2014-05-27       Impact factor: 6.444

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