Evidence map›Paper›PMID 21266475›Full record

ArticleNucleic acids research2011

Use of RecA fusion proteins to induce genomic modifications in zebrafish.

Hsin-Kai Liao, Jeffrey J Essner

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Precision editing of large animal genomes.Advances in genetics · 2012
    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

2 authors at 1 institution in 1 country.

Hsin-Kai LiaoDepartment of Genetics, Iowa State University, Ames, IA 50011, USA.
Jeffrey J Essner
Iowa State University · US

Funding

Use of RecA to Promote Gene TargetingR21RR025915 · NCRR · IOWA STATE UNIVERSITY · PI ESSNER, JEFFREY J · 2009 to 2010
$385k
NCRR NIH HHS 1R21RR25915-01
6 · The paper itself

Abstract

The bacterial recombinase RecA forms a nucleic acid-protein filament on single-stranded (ss) DNA during the repair of double-strand breaks (DSBs) that efficiently undergoes a homology search and engages in pairing with the complementary DNA sequence. We utilized the pairing activity of RecA-DNA filaments to tether biochemical activities to specific chromosomal sites. Different filaments with chimeric RecA proteins were tested for the ability to induce loss of heterozygosity at the golden locus in zebrafish after injection at the one-cell stage. A fusion protein between RecA containing a nuclear localization signal (NLS) and the DNA-binding domain of Gal4 (NLS-RecA-Gal4) displayed the most activity. Our results demonstrate that complementary ssDNA filaments as short as 60 nucleotides coated with NLS-RecA-Gal4 protein are able to cause loss of heterozygosity in ∼3% of the injected embryos. We demonstrate that lesions in ∼9% of the F0 zebrafish are transmitted to subsequent generations as large chromosomal deletions. Co-injection of linear DNA with the NLS-RecA-Gal4 DNA filaments promotes the insertion of the DNA into targeted genomic locations. Our data support a model whereby NLS-RecA-Gal4 DNA filaments bind to complementary target sites on chromatin and stall DNA replication forks, resulting in a DNA DSB.

Indexed as

Loss of HeterozygosityAnimalsDNA-Binding ProteinsDNA, Single-StrandedEmbryo, NonmammalianEye ColorGenes, ReporterGene TargetingGenomeInjectionsMutationNuclear Localization SignalsRec A RecombinasesRecombinant Fusion ProteinsZebrafishDNA-Binding ProteinsDNA, Single-StrandedNuclear Localization SignalsRec A RecombinasesRecombinant Fusion Proteins

Identifiers

PMID21266475
PMCPMC3105420
OpenAlexW2061886864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.