Evidence map›Paper›PMID 16214806›Full record

ArticleNucleic acids research2005

Improved methods for the generation of human gene knockout and knockin cell lines.

Ozlem Topaloglu, Paula J Hurley, Ozlem Yildirim, Curt I Civin, Fred Bunz

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

49 citing papers in PubMed, 74 citations in OpenAlex.

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  14. Genome Engineering Using Adeno-associated Virus: Basic and Clinical Research Applications.Molecular therapy : the journal of the American Society of Gene Therapy · 2016
    Review
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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

5 authors at 1 institution in 1 country.

Ozlem TopalogluDepartment of Radiation Oncology and Molecular Radiation Sciences, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Paula J Hurley
Ozlem Yildirim
Curt I Civin
Fred Bunz
Johns Hopkins University · US

Funding

DNA Damaging Signaling in Human Cancer CellsR01CA104253 · NCI · JOHNS HOPKINS UNIVERSITY · PI BUNZ, FRED · 2004 to 2007
$1.1M
NCI NIH HHS CA104253NCI NIH HHS R01 CA104253
6 · The paper itself

Abstract

Recent studies have demonstrated the utility of recombinant adeno-associated viral (rAAV) vectors in the generation of human knockout cell lines. The efficiency with which such cell lines can be generated using rAAV, in comparison with more extensively described plasmid-based approaches, has not been directly tested. In this report, we demonstrate that targeting constructs delivered by rAAV vectors were nearly 25-fold more efficient than transfected plasmids that target the same exon. In addition, we describe a novel vector configuration which we term the synthetic exon promoter trap (SEPT). This targeting element further improved the efficiency of knockout generation and uniquely facilitated the generation of knockin alterations. An rAAV-based SEPT targeting construct was used to transfer a mutant CTNNB1 allele, encoding an oncogenic form of beta-catenin, from one cell line to another. This versatile method was thus shown to facilitate the efficient integration of small, defined sequence alterations into the chromosomes of cultured human cells.

Indexed as

Mutationbeta CateninCell Line, TumorCytoskeletal ProteinsDependovirusExonsGene TargetingGenetic VectorsHumansPlasmidsPromoter Regions, GeneticSequence DeletionTrans-Activatorsbeta CateninCTNNB1 protein, humanCytoskeletal ProteinsTrans-Activators

Identifiers

PMID16214806
PMCPMC1255732
OpenAlexW1992491142

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.