Title |
High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells
|
---|---|
Published in |
Nature, April 2014
|
DOI | 10.1038/nature13166 |
Pubmed ID | |
Authors |
Yuexin Zhou, Shiyou Zhu, Changzu Cai, Pengfei Yuan, Chunmei Li, Yanyi Huang, Wensheng Wei |
Abstract |
Targeted genome editing technologies are powerful tools for studying biology and disease, and have a broad range of research applications. In contrast to the rapid development of toolkits to manipulate individual genes, large-scale screening methods based on the complete loss of gene expression are only now beginning to be developed. Here we report the development of a focused CRISPR/Cas-based (clustered regularly interspaced short palindromic repeats/CRISPR-associated) lentiviral library in human cells and a method of gene identification based on functional screening and high-throughput sequencing analysis. Using knockout library screens, we successfully identified the host genes essential for the intoxication of cells by anthrax and diphtheria toxins, which were confirmed by functional validation. The broad application of this powerful genetic screening strategy will not only facilitate the rapid identification of genes important for bacterial toxicity but will also enable the discovery of genes that participate in other biological processes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 13% |
United States | 2 | 9% |
Ireland | 1 | 4% |
Switzerland | 1 | 4% |
Denmark | 1 | 4% |
Israel | 1 | 4% |
China | 1 | 4% |
India | 1 | 4% |
Unknown | 12 | 52% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 74% |
Scientists | 5 | 22% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 23 | 1% |
United Kingdom | 12 | <1% |
Germany | 6 | <1% |
China | 5 | <1% |
Japan | 5 | <1% |
France | 4 | <1% |
Spain | 4 | <1% |
Austria | 3 | <1% |
Brazil | 2 | <1% |
Other | 14 | <1% |
Unknown | 1709 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 465 | 26% |
Researcher | 402 | 22% |
Student > Master | 184 | 10% |
Student > Bachelor | 159 | 9% |
Student > Doctoral Student | 87 | 5% |
Other | 261 | 15% |
Unknown | 229 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 736 | 41% |
Biochemistry, Genetics and Molecular Biology | 483 | 27% |
Medicine and Dentistry | 83 | 5% |
Immunology and Microbiology | 48 | 3% |
Engineering | 38 | 2% |
Other | 140 | 8% |
Unknown | 259 | 14% |