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BioTechniques
Article . 2005 . Peer-reviewed
License: CC BY
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BioTechniques
Article
License: CC BY NC ND
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BioTechniques
Article . 2005
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BioTechniques
Article . 2005
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Cell Line Fingerprinting Using Retroelement Insertion Polymorphism

Authors: Svetlana V. Ustyugova; Anna L. Amosova; Yuri B. Lebedev; Eugene D. Sverdlov;

Cell Line Fingerprinting Using Retroelement Insertion Polymorphism

Abstract

Human cell lines are an indispensable tool for functional studies of living entities in their numerous manifestations starting with integral complex systems such as signal pathways and networks, regulation of gene ensembles, epigenetic factors, and finishing with pathological changes and impact of artificially introduced elements, such as various transgenes, on the behavior of the cell. Therefore, it is highly desirable to have reliable cell line identification techniques to make sure that the cell lines to be used in experiments are exactly what is expected. To this end, we developed a set of informative markers based on insertion polymorphism of human retroelements (REs). The set includes 47 pairs of PCR primers corresponding to introns of the human genes with dimorphic LINE1 (L1) and Alu insertions. Using locus-specific PCR assays, we have genotyped 10 human cell lines of various origins. For each of these cell lines, characteristic fingerprints were obtained. An estimated probability that two different cell lines possess the same marker genotype is about 10-18. Therefore, the proposed set of markers provides a reliable tool for cell line identification.

Related Organizations
Keywords

Genetic Markers, Polymorphism, Genetic, Retroelements, QH301-705.5, Polymerase Chain Reaction, Introns, Cell Line, Long Interspersed Nucleotide Elements, Alu Elements, Cell Line, Tumor, Humans, Biology (General), Nucleic Acid Amplification Techniques, DNA Primers, HeLa Cells

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    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).
    11
    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.
    Average
    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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    impulse
    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!
11
Average
Average
Top 10%
gold