Evidence map›Paper›PMID 24852006›Full record

ArticleScientific reports2014

PCR amplification of repetitive DNA: a limitation to genome editing technologies and many other applications.

Carl Maximilian Hommelsheim, Lamprinos Frantzeskakis, Mengmeng Huang, Bekir Ülker

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

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  12. Genetic analysis using long-read sequencing to overcome the difficulties inResearch and practice in thrombosis and haemostasis · 2025
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6 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

4 authors.

Carl Maximilian HommelsheimPlant Molecular Engineering Group, IZMB (Institute of Cellular and Molecular Botany), University of Bonn, Kirschallee 1, 53115 Bonn.
Lamprinos Frantzeskakis1] Plant Molecular Engineering Group, IZMB (Institute of Cellular and Molecular Botany), University of Bonn, Kirschallee 1, 53115 Bonn [2].
Mengmeng HuangPlant Molecular Engineering Group, IZMB (Institute of Cellular and Molecular Botany), University of Bonn, Kirschallee 1, 53115 Bonn.
Bekir ÜlkerPlant Molecular Engineering Group, IZMB (Institute of Cellular and Molecular Botany), University of Bonn, Kirschallee 1, 53115 Bonn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designer transcription-activator like effectors (TALEs) is a promising technology and made it possible to edit genomes with higher specificity. Such specific engineering and gene regulation technologies are also being developed using RNA-binding proteins like PUFs and PPRs. The main feature of TALEs, PUFs and PPRs is their repetitive DNA/RNA-binding domains which have single nucleotide binding specificity. Available kits today allow researchers to assemble these repetitive domains in any combination they desire when generating TALEs for gene targeting and editing. However, PCR amplifications of such repetitive DNAs are highly problematic as these mostly fail, generating undesired artifact products or deletions. Here we describe the molecular mechanisms leading to these artifacts. We tested our models also in plasmid templates containing one copy versus two copies of GFP-coding sequence arranged as either direct or inverted repeats. Some limited solutions in amplifying repetitive DNA regions are described.

Indexed as

Gene TargetingGenetic EngineeringGenome, HumanDeoxyribonucleasesGreen Fluorescent ProteinsHumansPolymerase Chain ReactionRepetitive Sequences, Nucleic AcidDeoxyribonucleasesGreen Fluorescent Proteins

Identifiers

PMID24852006
PMCPMC4031481

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Registered trials

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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.