Evidence map›Paper›PMID 37085898›Full record

ArticleGenome biology2023

CasKAS: direct profiling of genome-wide dCas9 and Cas9 specificity using ssDNA mapping.

Georgi K Marinov, Samuel H Kim, S Tansu Bagdatli, Soon Il Higashino, Alexandro E Trevino, Josh Tycko, Tong Wu, Lacramioara Bintu, Michael C Bassik, Chuan He and 2 more

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Georgi K Marinov *Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA. GKM359@gmail.com.ORCID 0000-0003-1822-7273
Samuel H Kim *Cancer Biology Program, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
S Tansu BagdatliDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Soon Il HigashinoDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Alexandro E TrevinoCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA, 94305, USA.
Josh TyckoDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Tong WuDepartment of Chemistry, The University of Chicago, Chicago, IL, 60637, USA.
Lacramioara BintuDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Michael C BassikDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Chuan HeDepartment of Chemistry, The University of Chicago, Chicago, IL, 60637, USA.
Anshul KundajeDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
William J GreenleafDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA. wjg@stanford.edu.

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007365 · NIGMS · STANFORD UNIVERSITY · PI CHUA, KATRIN F · 1985 to 2021
$33.8M
PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOMEUM1HG009442 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2017 to 2021
$20.1M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Labeling and sequencing of 5hmC and 5mC in DNA-RenewalR01HG006827 · NHGRI · UNIVERSITY OF CHICAGO · PI HE, CHUAN · 2012 to 2025
$7.2M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Defining and perturbing gene regulatory dynamics in the developing human brainR01NS128028 · NINDS · STANFORD UNIVERSITY · PI William James Greenleaf · 2023 to 2026
$2.4M
High-throughput dissection of transcriptional regulation in kidney diseaseK00DK126120 · NIDDK · HARVARD MEDICAL SCHOOL · PI TYCKO, JOSH · 2022 to 2025
$355k
High-throughput dissection of transcriptional regulation in kidney diseaseF99DK126120 · NIDDK · STANFORD UNIVERSITY · PI TYCKO, JOSH · 2020 to 2021
$78k
Howard Hughes Medical InstituteNHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG006827NHGRI NIH HHS R01 HG008140NHGRI NIH HHS U01 HG009431NHGRI NIH HHS UM1 HG009436NHGRI NIH HHS UM1 HG009442NIAID NIH HHS U19 AI057266NIDDK NIH HHS F99 DK126120NIDDK NIH HHS K00 DK126120NIGMS NIH HHS T32 GM007365NINDS NIH HHS R01 NS128028
6 · The paper itself

Abstract

Detecting and mitigating off-target activity is critical to the practical application of CRISPR-mediated genome and epigenome editing. While numerous methods have been developed to map Cas9 binding specificity genome-wide, they are generally time-consuming and/or expensive, and not applicable to catalytically dead CRISPR enzymes. We have developed CasKAS, a rapid, inexpensive, and facile assay for identifying off-target CRISPR enzyme binding and cleavage by chemically mapping the unwound single-stranded DNA structures formed upon binding of a sgRNA-loaded Cas9 protein. We demonstrate this method in both in vitro and in vivo contexts.

Indexed as

CRISPR-Cas SystemsDNA, Single-StrandedCRISPR-Associated Protein 9EpigenomeGene EditingGenomeCRISPR-Associated Protein 9DNA, Single-Stranded

Identifiers

PMID37085898
PMCPMC10120127

What OpenQuestion holds

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Registered trials

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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.