Title |
Pooled CRISPR screening with single-cell transcriptome readout
|
---|---|
Published in |
Nature Methods, January 2017
|
DOI | 10.1038/nmeth.4177 |
Pubmed ID | |
Authors |
Paul Datlinger, André F Rendeiro, Christian Schmidl, Thomas Krausgruber, Peter Traxler, Johanna Klughammer, Linda C Schuster, Amelie Kuchler, Donat Alpar, Christoph Bock |
Abstract |
CRISPR-based genetic screens are accelerating biological discovery, but current methods have inherent limitations. Widely used pooled screens are restricted to simple readouts including cell proliferation and sortable marker proteins. Arrayed screens allow for comprehensive molecular readouts such as transcriptome profiling, but at much lower throughput. Here we combine pooled CRISPR screening with single-cell RNA sequencing into a broadly applicable workflow, directly linking guide RNA expression to transcriptome responses in thousands of individual cells. Our method for CRISPR droplet sequencing (CROP-seq) enables pooled CRISPR screens with single-cell transcriptome resolution, which will facilitate high-throughput functional dissection of complex regulatory mechanisms and heterogeneous cell populations. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 25 | 28% |
Austria | 10 | 11% |
United Kingdom | 10 | 11% |
Switzerland | 3 | 3% |
Netherlands | 2 | 2% |
Canada | 2 | 2% |
France | 2 | 2% |
Belgium | 2 | 2% |
Germany | 2 | 2% |
Other | 7 | 8% |
Unknown | 23 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 45 | 51% |
Scientists | 41 | 47% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | <1% |
Switzerland | 2 | <1% |
Austria | 2 | <1% |
United Kingdom | 2 | <1% |
South Africa | 1 | <1% |
Israel | 1 | <1% |
Sweden | 1 | <1% |
Belgium | 1 | <1% |
Germany | 1 | <1% |
Other | 2 | <1% |
Unknown | 1958 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 442 | 22% |
Researcher | 413 | 21% |
Student > Master | 175 | 9% |
Student > Bachelor | 166 | 8% |
Student > Postgraduate | 77 | 4% |
Other | 265 | 13% |
Unknown | 440 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 695 | 35% |
Agricultural and Biological Sciences | 396 | 20% |
Immunology and Microbiology | 77 | 4% |
Medicine and Dentistry | 72 | 4% |
Neuroscience | 66 | 3% |
Other | 198 | 10% |
Unknown | 474 | 24% |