Evidence map›Paper›PMID 22523082›Full record

ArticleNucleic acids research2012

Retargeting transposon insertions by the adeno-associated virus Rep protein.

Ismahen Ammar, Andreas Gogol-Döring, Csaba Miskey, Wei Chen, Toni Cathomen, Zsuzsanna Izsvák, Zoltán Ivics

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  11. Article
  12. Article
  13. RNA-guidedSynthetic biology (Oxford, England) · 2019
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  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

7 authors.

Ismahen AmmarMax Delbrück Center for Molecular Medicine, 13125 Berlin, Germany.
Andreas Gogol-Döring
Csaba Miskey
Wei Chen
Toni Cathomen
Zsuzsanna Izsvák
Zoltán Ivics

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Sleeping Beauty (SB), piggyBac (PB) and Tol2 transposons are promising instruments for genome engineering. Integration site profiling of SB, PB and Tol2 in human cells showed that PB and Tol2 insertions were enriched in genes, whereas SB insertions were randomly distributed. We aimed to introduce a bias into the target site selection properties of the transposon systems by taking advantage of the locus-specific integration system of adeno-associated virus (AAV). The AAV Rep protein binds to Rep recognition sequences (RRSs) in the human genome, and mediates viral integration into nearby sites. A series of fusion constructs consisting of the N-terminal DNA-binding domain of Rep and the transposases or the N57 domain of SB were generated. A plasmid-based transposition assay showed that Rep/SB yielded a 15-fold enrichment of transposition at a particular site near a targeted RRS. Genome-wide insertion site analysis indicated that an approach based on interactions between the SB transposase and Rep/N57 enriched transgene insertions at RRSs. We also provide evidence of biased insertion of the PB and Tol2 transposons. This study provides a comparative insight into target site selection properties of transposons, as well as proof-of-principle for targeted chromosomal transposition by composite protein-protein and protein-DNA interactions.

Indexed as

DNA Transposable ElementsBinding SitesDependovirusDNADNA-Binding ProteinsHeLa CellsHumansPlasmidsProtein Interaction Domains and MotifsRecombinant Fusion ProteinsTransposasesViral ProteinsVirus IntegrationDNADNA-Binding ProteinsDNA Transposable ElementsRecombinant Fusion Proteinssleeping beauty transposase, humanTransposasesViral Proteins

Identifiers

PMID22523082
PMCPMC3413126

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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.