Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells-Reference-Cited by-同舟云学术

Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells

Published:2015-08-03 Issue:9 Volume:12 Page:885-892
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Paull Daniel,Sevilla Ana,Zhou Hongyan,Hahn Aana Kim,Kim Hesed,Napolitano Christopher,Tsankov Alexander,Shang Linshan,Krumholz Katie,Jagadeesan Premlatha,Woodard Chris M,Sun Bruce,Vilboux Thierry,Zimmer Matthew,Forero Eliana,Moroziewicz Dorota N,Martinez Hector,Malicdan May Christine V,Weiss Keren A,Vensand Lauren B,Dusenberry Carmen R,Polus Hannah,Sy Karla Therese L,Kahler David J,Gahl William A,Solomon Susan L,Chang Stephen,Meissner Alexander,Eggan Kevin,Noggle Scott A

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/nmeth.3507.pdf

Reference41 articles.

1. Colman, A. & Dreesen, O. Pluripotent stem cells and disease modeling. Cell Stem Cell 5, 244–247 (2009).

2. Takahashi, K. et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 131, 861–872 (2007).

3. Robinton, D.A. & Daley, G.Q. The promise of induced pluripotent stem cells in research and therapy. Nature 481, 295–305 (2012).

4. Morris, A.P. et al. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat. Genet. 44, 981–990 (2012).

5. Santostefano, K.E. et al. A practical guide to induced pluripotent stem cell research using patient samples. Lab. Invest. 95, 4–13 (2015).

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