IdentiCell Service

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The Molecular Diagnostic Laboratory (MDL) at Aarhus University Hospital, offers an accredited service – IdentiCell - for human cell line authentication.
We are Promega®'s official service provider for the Nordic Region using their Cell ID™ system. To order a test, please use the menu "How to order".

The Cell ID™ System enables short tandem repeat (STR) analysis of specific loci in the human genome through co-amplification and three-color detection of ten human loci (nine STR loci and amelogenin for gender identification), including D21S11, TH01, TPOX, vWA, amelogenin, CSF1PO, D16S539, D7S820, D13S317 and D5S818. These loci collectively provide a genetic profile with a random match probability of 1 in 2.92 × 109

Amplicons are detected with an ABI 3130xl Genetic Analyzer (ABI, St. Louis, MO) and GeneMapper v.4 software (ABI) is used to identify the alleles present for each STR locus in order to generate a genetic profile.

Download and print IdentiCell information flyer (pdf)

 

 

 

Workflow

  STR_workflow

 

IdentiCell Results

We provide a STR profile report containing the analysis data for nine loci indicated as allele sizes.

Data can be further evaluated using the Online STR analysis provided by DSMZ (German Collection of Microorganisms and Cell Cultures) or the ATCC STR Database for Human Cell Lines. Your results are compared with existing STR profiles from known cell lines thus allowing the identification of your cell line.

Prior to analysis you do not need to indicate the identity or origin of the cell lines you submit for testing.

We do test human cell lines only. If you suspect inter-species cross-contamination, typically with rodent cell lines, test your cell lines with a multiplex PCR-based assay.
Intra-species contamination as low as 1%-5% will be picked up by IdentiCell.

The STR genotype of a cell line can evolve over multiple passages. We therefore recommend regular genotyping of your cell lines to monitor any change.

Please contact us, if you need further information to evaluate your data.

 

 
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