| Chapter title |
Target Discovery for Precision Medicine Using High-Throughput Genome Engineering
|
|---|---|
| Chapter number | 7 |
| Book title |
Precision Medicine, CRISPR, and Genome Engineering
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-3-319-63904-8_7 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-963903-1, 978-3-31-963904-8
|
| Authors |
Xinyi Guo, Poonam Chitale, Neville E. Sanjana |
| Abstract |
Over the past few years, programmable RNA-guided nucleases such as the CRISPR/Cas9 system have ushered in a new era of precision genome editing in diverse model systems and in human cells. Functional screens using large libraries of RNA guides can interrogate a large hypothesis space to pinpoint particular genes and genetic elements involved in fundamental biological processes and disease-relevant phenotypes. Here, we review recent high-throughput CRISPR screens (e.g. loss-of-function, gain-of-function, and targeting noncoding elements) and highlight their potential for uncovering novel therapeutic targets, such as those involved in cancer resistance to small molecular drugs and immunotherapies, tumor evolution, infectious disease, inborn genetic disorders, and other therapeutic challenges. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 40% |
| Germany | 1 | 10% |
| Netherlands | 1 | 10% |
| Montenegro | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 5 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Researcher | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Other | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 3 | 10% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Medicine and Dentistry | 6 | 19% |
| Agricultural and Biological Sciences | 5 | 16% |
| Environmental Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 32% |