Evidence map›Paper›PMID 29251726›Full record

ArticleNature biotechnology2018

Orthologous CRISPR-Cas9 enzymes for combinatorial genetic screens.

Fadi J Najm, Christine Strand, Katherine F Donovan, Mudra Hegde, Kendall R Sanson, Emma W Vaimberg, Meagan E Sullender, Ella Hartenian, Zohra Kalani, Nicolo Fusi and 5 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 1 pooled it
–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

170 citing papers in PubMed, 1 synthesis or guideline pooled it.

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110 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Fadi J NajmBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Christine StrandBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID 0000-0001-5783-6667
Katherine F DonovanBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Mudra HegdeBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Kendall R SansonBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Emma W VaimbergBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Meagan E SullenderBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID 0000-0001-6666-8650
Ella HartenianBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Zohra KalaniBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Nicolo FusiMicrosoft Research New England, Cambridge, Massachusetts, USA.ORCID 0000-0002-4102-0169
Jennifer ListgartenMicrosoft Research New England, Cambridge, Massachusetts, USA.ORCID 0000-0002-6600-1431
Scott T YoungerBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Bradley E BernsteinBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
David E RootBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
John G DoenchBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID 0000-0002-3707-9889

Funding

Molecular, Cellular, & Developmental Dynamics PhD ProgramT32GM007226 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI VAN VACTOR, DAVID L. · 1985 to 2021
$14.4M
Epigenetic plasticity in tumor initiation and evolutionDP1CA216873 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BERNSTEIN, BRADLEY EVAN · 2016 to 2020
$5.9M
NCI NIH HHS DP1 CA216873NIGMS NIH HHS T32 GM007226
6 · The paper itself

Abstract

Combinatorial genetic screening using CRISPR-Cas9 is a useful approach to uncover redundant genes and to explore complex gene networks. However, current methods suffer from interference between the single-guide RNAs (sgRNAs) and from limited gene targeting activity. To increase the efficiency of combinatorial screening, we employ orthogonal Cas9 enzymes from Staphylococcus aureus and Streptococcus pyogenes. We used machine learning to establish S. aureus Cas9 sgRNA design rules and paired S. aureus Cas9 with S. pyogenes Cas9 to achieve dual targeting in a high fraction of cells. We also developed a lentiviral vector and cloning strategy to generate high-complexity pooled dual-knockout libraries to identify synthetic lethal and buffering gene pairs across multiple cell types, including MAPK pathway genes and apoptotic genes. Our orthologous approach also enabled a screen combining gene knockouts with transcriptional activation, which revealed genetic interactions with TP53. The "Big Papi" (paired aureus and pyogenes for interactions) approach described here will be widely applicable for the study of combinatorial phenotypes.

Indexed as

Genetic TestingApoptosisCRISPR-Cas SystemsEpistasis, GeneticGene Knockout TechniquesGene TargetingHumansMachine LearningMitogen-Activated Protein Kinase KinasesRNA, Guide, CRISPR-Cas SystemsSignal TransductionStaphylococcus aureusStreptococcus pyogenesTumor Suppressor Protein p53Mitogen-Activated Protein Kinase KinasesRNA, Guide, CRISPR-Cas SystemsTumor Suppressor Protein p53

Identifiers

PMID29251726
PMCPMC5800952

What OpenQuestion holds

Textmetadata
LicenceTDM
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.