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Genetic Screens in Human Cells Using the CRISPR-Cas9 System

Overview of attention for article published in Science, December 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Citations

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2384 Dimensions

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4427 Mendeley
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15 CiteULike
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Title
Genetic Screens in Human Cells Using the CRISPR-Cas9 System
Published in
Science, December 2013
DOI 10.1126/science.1246981
Pubmed ID
Authors

Tim Wang, Jenny J. Wei, David M. Sabatini, Eric S. Lander

Abstract

The bacterial clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 system for genome editing has greatly expanded the toolbox for mammalian genetics, enabling the rapid generation of isogenic cell lines and mice with modified alleles. Here, we describe a pooled, loss-of-function genetic screening approach suitable for both positive and negative selection that uses a genome-scale lentiviral single-guide RNA (sgRNA) library. sgRNA expression cassettes were stably integrated into the genome, which enabled a complex mutant pool to be tracked by massively parallel sequencing. We used a library containing 73,000 sgRNAs to generate knockout collections and performed screens in two human cell lines. A screen for resistance to the nucleotide analog 6-thioguanine identified all expected members of the DNA mismatch repair pathway, whereas another for the DNA topoisomerase II (TOP2A) poison etoposide identified TOP2A, as expected, and also cyclin-dependent kinase 6, CDK6. A negative selection screen for essential genes identified numerous gene sets corresponding to fundamental processes. Last, we show that sgRNA efficiency is associated with specific sequence motifs, enabling the prediction of more effective sgRNAs. Collectively, these results establish Cas9/sgRNA screens as a powerful tool for systematic genetic analysis in mammalian cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4,427 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 50 1%
United Kingdom 15 <1%
Germany 12 <1%
Canada 12 <1%
China 10 <1%
France 7 <1%
Italy 6 <1%
Japan 5 <1%
Netherlands 4 <1%
Other 46 1%
Unknown 4260 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1092 25%
Researcher 874 20%
Student > Bachelor 560 13%
Student > Master 489 11%
Student > Doctoral Student 184 4%
Other 589 13%
Unknown 639 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 1664 38%
Biochemistry, Genetics and Molecular Biology 1280 29%
Medicine and Dentistry 245 6%
Immunology and Microbiology 120 3%
Neuroscience 70 2%
Other 338 8%
Unknown 710 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 147. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2024.
All research outputs
#285,461
of 25,711,518 outputs
Outputs from Science
#7,767
of 83,250 outputs
Outputs of similar age
#2,525
of 322,258 outputs
Outputs of similar age from Science
#78
of 838 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,250 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 838 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.