Evidence map›Paper›PMID 37024653›Full record

ArticleNature methods2023

Improving the sensitivity of in vivo CRISPR off-target detection with DISCOVER-Seq.

Roger S Zou, Yang Liu, Oscar E Reyes Gaido, Maximilian F Konig, Brian J Mog, Leo L Shen, Franklin Aviles-Vazquez, Alberto Marin-Gonzalez, Taekjip Ha

Open access · hybridAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Precision modification of heart failure signaling by CRISPR-Cas9 base editing.Journal of molecular and cellular cardiology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  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

9 authors at 2 institutions in 1 country.

Roger S ZouDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-1338-6398
Yang Liu *Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Oscar E Reyes Gaido *Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-2044-8489
Maximilian F Konig *Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brian J MogDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-9988-7147
Leo L ShenDepartment of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-9563-6276
Franklin Aviles-VazquezDepartment of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Alberto Marin-GonzalezDepartment of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Taekjip HaDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. tjha@jhu.edu.ORCID http://orcid.org/0000-0003-2195-6258
Johns Hopkins University · USHoward Hughes Medical Institute · US

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
CaMKII signaling in physiology, heart failure and arrhythmiasR35HL140034 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ANDERSON, MARK E · 2018 to 2022
$5.2M
Single Molecule Studies of Nucleic Acids RemodelingR35GM122569 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Taekjip Ha · 2017 to 2026
$3.5M
Chromatin Function During Transcription and DNA Repair at Single Molecule Resolutionin Living CellsU01DK127432 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HA, TAEKJIP, JOHNSON, MARGARET ELLEN · 2020 to 2024
$3.5M
High-throughput characterization of epigenetic context on DNA double strand break repair dynamicsF30CA254160 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZOU, ROGER · 2020 to 2022
$151k
NCI NIH HHS F30 CA254160NHLBI NIH HHS R35 HL140034NIDDK NIH HHS U01 DK127432NIGMS NIH HHS R35 GM122569NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Discovery of off-target CRISPR-Cas activity in patient-derived cells and animal models is crucial for genome editing applications, but currently exhibits low sensitivity. We demonstrate that inhibition of DNA-dependent protein kinase catalytic subunit accumulates the repair protein MRE11 at CRISPR-Cas-targeted sites, enabling high-sensitivity mapping of off-target sites to positions of MRE11 binding using chromatin immunoprecipitation followed by sequencing. This technique, termed DISCOVER-Seq+, discovered up to fivefold more CRISPR off-target sites in immortalized cell lines, primary human cells and mice compared with previous methods. We demonstrate applicability to ex vivo knock-in of a cancer-directed transgenic T cell receptor in primary human T cells and in vivo adenovirus knock-out of cardiovascular risk gene PCSK9 in mice. Thus, DISCOVER-Seq+ is, to our knowledge, the most sensitive method to-date for discovering off-target genome editing in vivo.

Indexed as

CRISPR-Cas SystemsProprotein Convertase 9AnimalsGene EditingGenomeHumansMicePCSK9 protein, humanProprotein Convertase 9

Identifiers

PMID37024653
PMCPMC10172116
OpenAlexW4362665266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.