Chapter title |
Genetic Tools for Self-Organizing Culture of Mouse Embryonic Stem Cells via Small Regulatory RNA-Mediated Technologies, CRISPR/Cas9, and Inducible RNAi
|
---|---|
Chapter number | 19 |
Book title |
RNAi and Small Regulatory RNAs in Stem Cells
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-7108-4_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7106-0, 978-1-4939-7108-4
|
Authors |
Takata, Nozomu, Sakakura, Eriko, Sakuma, Tetsushi, Yamamoto, Takashi, Nozomu Takata Ph.D., Eriko Sakakura M.Eng., Tetsushi Sakuma Ph.D., Takashi Yamamoto Ph.D., Nozomu Takata, Eriko Sakakura, Tetsushi Sakuma, Takashi Yamamoto |
Editors |
Baohong Zhang |
Abstract |
Approaches to investigate gene functions in experimental biology are becoming more diverse and reliable. Furthermore, several kinds of tissues and organs that possess their original identities can be generated in petri dishes from stem cells including embryonic, adult and induced pluripotent stem cells. Researchers now have several choices of experimental methods and their combinations to analyze gene functions in various biological systems. Here, as an example we describe one of the better protocols, which combines three-dimensional embryonic stem cell culture with small regulatory RNA-mediated technologies, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), and inducible RNA interference (RNAi). This protocol allows investigation of genes of interest to better understand gene functions in target tissues (or organs) during in vitro development. |
X Demographics
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Unknown | 2 | 100% |
Demographic breakdown
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 2 | 22% |
Student > Bachelor | 2 | 22% |
Professor | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Researcher | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 3 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 22% |
Engineering | 2 | 22% |
Materials Science | 1 | 11% |
Unknown | 1 | 11% |