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BioTechniques
Article . 2002 . Peer-reviewed
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BioTechniques
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BioTechniques
Article . 2002
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BioTechniques
Article . 2002
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Exon Concatenation to Increase the Efficiency of Mutation Screening by DGGE

Authors: X. Agirre; M. Garcí-Delgado; M.J. Calasanz; M.J. Larráyoz; F.J. Novo; J.L. Vizmanos;

Exon Concatenation to Increase the Efficiency of Mutation Screening by DGGE

Abstract

For genes that have a substantial number of exons and long intronic sequences, mutation screening by denaturing gradient gel electrophoresis (DGGE) requires the amplification of each exon from genomic DNA by PCR. This results in a high number of fragments to be analyzed by DGGE so that the analysis of large sample sets becomes labor intensive and time consuming. To address this problem, we have developed a new strategy for mutation analysis, lexon-DGGE, which combines the joining of different exons by PCR (also known as lexons) with a highly sensitive technique such as DGGE to screen for mutations. The lexon technique is based on the concatenation of several exons, adjacent or not, from genomic DNA into a single DNA fragment so that this approach could simultaneously be used to check the mutational status of several small genes. To show the feasibility of the approach, we have used the lexon-DGGE technique to analyze all coding exons, intron-exon junctions, noncoding exon 1, and part of the noncoding region of exon 11 of the TP53 gene. The validity and performance of the technique were confirmed by using negative and positive controls for each of the DNAfragments analyzed.

Related Organizations
Keywords

Electrophoresis, QH301-705.5, DNA Mutational Analysis, DNA, Neoplasm, Exons, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Nucleic Acid Denaturation, Introns, Mutation, Humans, Genetic Testing, Biology (General)

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
gold
Related to Research communities
Cancer Research