Title |
Depletion of Abundant Sequences by Hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications
|
---|---|
Published in |
Genome Biology, March 2016
|
DOI | 10.1186/s13059-016-0904-5 |
Pubmed ID | |
Authors |
W. Gu, E. D. Crawford, B. D. O’Donovan, M. R. Wilson, E. D. Chow, H. Retallack, J. L. DeRisi |
Abstract |
Next-generation sequencing has generated a need for a broadly applicable method to remove unwanted high-abundance species prior to sequencing. We introduce DASH (Depletion of Abundant Sequences by Hybridization). Sequencing libraries are 'DASHed' with recombinant Cas9 protein complexed with a library of guide RNAs targeting unwanted species for cleavage, thus preventing them from consuming sequencing space. We demonstrate a more than 99 % reduction of mitochondrial rRNA in HeLa cells, and enrichment of pathogen sequences in patient samples. We also demonstrate an application of DASH in cancer. This simple method can be adapted for any sample type and increases sequencing yield without additional cost. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 37 | 31% |
United Kingdom | 10 | 8% |
Australia | 8 | 7% |
Canada | 4 | 3% |
Germany | 3 | 3% |
France | 3 | 3% |
Belgium | 3 | 3% |
Spain | 3 | 3% |
Netherlands | 2 | 2% |
Other | 11 | 9% |
Unknown | 36 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 63 | 53% |
Members of the public | 53 | 44% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
United Kingdom | 3 | <1% |
Australia | 1 | <1% |
Sweden | 1 | <1% |
Netherlands | 1 | <1% |
South Africa | 1 | <1% |
Thailand | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 509 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 148 | 28% |
Student > Ph. D. Student | 112 | 21% |
Student > Master | 35 | 7% |
Student > Bachelor | 34 | 6% |
Other | 29 | 5% |
Other | 65 | 12% |
Unknown | 108 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 148 | 28% |
Biochemistry, Genetics and Molecular Biology | 145 | 27% |
Medicine and Dentistry | 34 | 6% |
Immunology and Microbiology | 23 | 4% |
Engineering | 12 | 2% |
Other | 46 | 9% |
Unknown | 123 | 23% |