| Chapter title |
Enhancer RNAs
|
|---|---|
| Chapter number | 16 |
| Book title |
Enhancer RNAs
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-4035-6_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-4033-2, 978-1-4939-4035-6
|
| Authors |
Brown, Alexander, Woods, Wendy S, Perez-Pinera, Pablo, Alexander Brown, Wendy S. Woods, Pablo Perez-Pinera M.D., Ph.D., Pablo Perez-Pinera |
| Editors |
Ulf Andersson Ørom |
| Abstract |
The discovery of the prokaryotic CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated) system and its adaptation for targeted manipulation of DNA in diverse species has revolutionized the field of genome engineering. In particular, the fusion of catalytically inactive Cas9 to any number of transcriptional activator domains has resulted in an array of easily customizable synthetic transcription factors that are capable of achieving robust, specific, and tunable activation of target gene expression within a wide variety of tissues and cells. This chapter describes key experimental design considerations, methods for plasmid construction, gene delivery protocols, and procedures for analysis of targeted gene activation in mammalian cell lines using CRISPR-Cas transcription factors. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Student > Bachelor | 3 | 14% |
| Professor | 3 | 14% |
| Researcher | 3 | 14% |
| Other | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 48% |
| Agricultural and Biological Sciences | 3 | 14% |
| Computer Science | 1 | 5% |
| Psychology | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 19% |