| Title |
A Genome-wide CRISPR Screen in Primary Immune Cells to Dissect Regulatory Networks
|
|---|---|
| Published in |
Cell, July 2015
|
| DOI | 10.1016/j.cell.2015.06.059 |
| Pubmed ID | |
| Authors | |
| Abstract |
Finding the components of cellular circuits and determining their functions systematically remains a major challenge in mammalian cells. Here, we introduced genome-wide pooled CRISPR-Cas9 libraries into dendritic cells (DCs) to identify genes that control the induction of tumor necrosis factor (Tnf) by bacterial lipopolysaccharide (LPS), a key process in the host response to pathogens, mediated by the Tlr4 pathway. We found many of the known regulators of Tlr4 signaling, as well as dozens of previously unknown candidates that we validated. By measuring protein markers and mRNA profiles in DCs that are deficient in known or candidate genes, we classified the genes into three functional modules with distinct effects on the canonical responses to LPS and highlighted functions for the PAF complex and oligosaccharyltransferase (OST) complex. Our findings uncover new facets of innate immune circuits in primary cells and provide a genetic approach for dissection of mammalian cell circuits. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 43% |
| United Kingdom | 3 | 5% |
| Canada | 3 | 5% |
| France | 2 | 3% |
| Australia | 2 | 3% |
| Germany | 2 | 3% |
| Spain | 1 | 2% |
| Switzerland | 1 | 2% |
| India | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 17 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 52% |
| Scientists | 27 | 42% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 1% |
| United Kingdom | 4 | <1% |
| Canada | 4 | <1% |
| Switzerland | 3 | <1% |
| Japan | 2 | <1% |
| Austria | 2 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 1433 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 393 | 27% |
| Researcher | 371 | 25% |
| Student > Master | 117 | 8% |
| Student > Bachelor | 115 | 8% |
| Student > Doctoral Student | 62 | 4% |
| Other | 205 | 14% |
| Unknown | 215 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 489 | 33% |
| Biochemistry, Genetics and Molecular Biology | 398 | 27% |
| Immunology and Microbiology | 133 | 9% |
| Medicine and Dentistry | 97 | 7% |
| Engineering | 26 | 2% |
| Other | 106 | 7% |
| Unknown | 229 | 15% |