Evidence map›Paper›PMID 36593413›Full record

ArticleNature biotechnology2023

Precise cut-and-paste DNA insertion using engineered type V-K CRISPR-associated transposases.

Connor J Tou, Benno Orr, Benjamin P Kleinstiver

Abstract read
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In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
14.8field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 99 citations in OpenAlex.

  1. Review
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  3. Gene editing using large insertions.Nature biotechnology · 2026
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20 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Connor J TouCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-2444-4215
Benno OrrCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Benjamin P KleinstiverCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. bkleinstiver@mgh.harvard.edu.ORCID 0000-0002-5469-0655
Harvard University · USMassachusetts General Hospital · US

Funding

Massachusetts General Hospital (MGH) Howard M. Goodman FellowshipNational Science Foundation (NSF) 2020295403
6 · The paper itself

Abstract

CRISPR-associated transposases (CASTs) enable recombination-independent, multi-kilobase DNA insertions at RNA-programmed genomic locations. However, the utility of type V-K CASTs is hindered by high off-target integration and a transposition mechanism that results in a mixture of desired simple cargo insertions and undesired plasmid cointegrate products. Here we overcome both limitations by engineering new CASTs with improved integration product purity and genome-wide specificity. To do so, we engineered a nicking homing endonuclease fusion to TnsB (named HELIX) to restore the 5' nicking capability needed for cargo excision on the DNA donor. HELIX enables cut-and-paste DNA insertion with up to 99.4% simple insertion product purity, while retaining robust integration efficiencies on genomic targets. HELIX has substantially higher on-target specificity than canonical CASTs, and we identify several novel factors that further regulate targeted and genome-wide integration. Finally, we extend HELIX to other type V-K orthologs and demonstrate the feasibility of HELIX-mediated integration in human cell contexts.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsDNA Transposable ElementsCRISPR-Cas SystemsEndonucleasesHumansPlasmidsTransposasesDNA Transposable ElementsEndonucleasesTransposases

Identifiers

PMID36593413
OpenAlexW4313454594

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.