| Chapter title |
Design, Assembly, and Characterization of TALE-Based Transcriptional Activators and Repressors.
|
|---|---|
| Chapter number | 7 |
| Book title |
TALENs
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2932-0_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2931-3, 978-1-4939-2932-0
|
| Authors |
Thakore, Pratiksha I, Gersbach, Charles A, Thakore, Pratiksha I., Gersbach, Charles A., Pratiksha I. Thakore, Charles A. Gersbach |
| Abstract |
Transcription activator-like effectors (TALEs) are modular DNA-binding proteins that can be fused to a variety of effector domains to regulate the epigenome. Nucleotide recognition by TALE monomers follows a simple cipher, making this a powerful and versatile method to activate or repress gene expression. Described here are methods to design, assemble, and test TALE transcription factors (TALE-TFs) for control of endogenous gene expression. In this protocol, TALE arrays are constructed by Golden Gate cloning and tested for activity by transfection and quantitative RT-PCR. These methods for engineering TALE-TFs are useful for studies in reverse genetics and genomics, synthetic biology, and gene therapy. |
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 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Student > Doctoral Student | 4 | 17% |
| Researcher | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Agricultural and Biological Sciences | 6 | 25% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 25% |