
doi: 10.2144/05384st02
pmid: 15884674
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.
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
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
| 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). | 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
