Evidence map›Paper›PMID 29868757›Full record

ArticleBioinformatics (Oxford, England)2018

Improved design and analysis of CRISPR knockout screens.

Chen-Hao Chen, Tengfei Xiao, Han Xu, Peng Jiang, Clifford A Meyer, Wei Li, Myles Brown, X Shirley Liu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. simCRISPR: Modeling Experimental Complexity in Pooled CRISPR Screens.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chen-Hao ChenCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
Tengfei XiaoCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
Han XuCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
Peng JiangCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
Clifford A MeyerCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
Wei LiCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
Myles BrownCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
X Shirley LiuCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.

Funding

Large-Scale In Vivo Functional Characterization of the Human CistromeR01HG008728 · NHGRI · DANA-FARBER CANCER INST · PI BROWN, MYLES A, LIU, XIAOLE SHIRLEY · 2015 to 2017
$2.2M
Computational Methods for Genome-Wide CRISPR ScreensR01HG008927 · NHGRI · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2016 to 2018
$1.6M
NHGRI NIH HHS R01 HG008728NHGRI NIH HHS R01 HG008927
6 · The paper itself

Abstract

Motivation: Genome-wide clustered, regularly interspaced, short palindromic repeat (CRISPR)-Cas9 screen has been widely used to interrogate gene functions. However, the rules to design better libraries beg further refinement. Results: We found single guide RNA (sgRNA) outliers are characterized by higher G-nucleotide counts, especially in regions distal from the PAM motif and are associated with stronger off-target activities. Furthermore, using non-targeting sgRNAs as negative controls lead to strong bias, which can be mitigated by using sgRNAs targeting multiple 'safe harbor' regions. Custom-designed screens confirmed our findings and further revealed that 19 nt sgRNAs consistently gave the best signal-to-noise ratio. Collectively, our analysis motivated the design of a new genome-wide CRISPR/Cas9 screen library and uncovered some intriguing properties of the CRISPR-Cas9 system. Availability and implementation: The MAGeCK workflow is available open source at https://bitbucket.org/liulab/mageck_nest under the MIT license. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

CRISPR-Cas SystemsGene LibraryComputational BiologyGenomeRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID29868757
PMCPMC6247926

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.