Evidence map›Paper›PMID 36581624›Full record

ArticleNature communications2022

TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor.

Jeonghun Kwon, Minyoung Kim, Seungmin Bae, Anna Jo, Youngho Kim, Jungjoon K Lee

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. A primer on prime: A prime editing update from advances to first-in-human trial.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Evolution of Prime Editing: Enhancing Efficiency and Expanding Capacity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Review
  8. Prime editing in mammals: From promise to practicalities.Molecular therapy. Nucleic acids · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. CRISPR-Cas9 and Its Bioinformatics Tools: A Systematic Review.Current issues in molecular biology · 2025
    Review
  14. Review
  15. Review
  16. Efficient andMolecular therapy. Nucleic acids · 2024
    Article
  17. Article
  18. Review
  19. Review
  20. RevolutionizingFrontiers in genome editing · 2024
    Review
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

6 authors at 1 institution in 1 country.

Jeonghun KwonToolgen, Seoul, Republic of Korea.ORCID 0000-0003-2483-9794
Minyoung KimToolgen, Seoul, Republic of Korea.
Seungmin BaeToolgen, Seoul, Republic of Korea.
Anna JoToolgen, Seoul, Republic of Korea.
Youngho KimToolgen, Seoul, Republic of Korea.
Jungjoon K LeeToolgen, Seoul, Republic of Korea. jj.lee@toolgen.com.ORCID 0000-0002-6798-1363
ToolGen (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prime editors (PEs) are powerful tools that widen the possibilities for sequence modifications during genome editing. Although methods based on the analysis of Cas9 nuclease or nickase activity have been used to predict genome-wide off-target activities of PEs, no tool that directly uses PEs for this purpose has been reported yet. In this study, we present a cell-based assay, named TAgmentation of Prime Editor sequencing (TAPE-seq), that provides genome-wide off-target candidates for PEs. TAPE-seq analyses are successfully performed using many different versions of PEs. The TAPE-seq predictions are compared with results from two other off-site prediction methods, Cas9 nuclease-based GUIDE-seq and Cas9 nickase-based Digenome-seq (nDigenome-seq). TAPE-seq shows a lower miss rate, and a higher area under the receiver operating characteristic curve compared to the other methods. TAPE-seq also identified valid off-target sites that were missed by the other methods.

Indexed as

Gene EditingGenomeCRISPR-Cas SystemsDeoxyribonuclease IHigh-Throughput Nucleotide SequencingDeoxyribonuclease I

Identifiers

PMID36581624
PMCPMC9800413
OpenAlexW4313333169

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.