Recent developments of the cell line integrated molecular authentication database

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1 Bioinformatics Lab, IRCCS AOU San Martino IST, Genoa, Italy
2 Biological Resources Centre, IRCCS AOU San Martino IST, Genoa, Italy
DOI
10.7287/peerj.preprints.2194v1
Published
Accepted
Subject Areas
Bioinformatics, Cell Biology, Molecular Biology, Oncology
Keywords
STR profile, biological databases, cell lines, experimental reproducibility, cell line authentication, cell line identification
Copyright
© 2016 Romano et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Romano PD, Visconti P, Parodi B. 2016. Recent developments of the cell line integrated molecular authentication database. PeerJ Preprints 4:e2194v1

Abstract

Cross-contamination of human and animal cell lines is a frequent event. For this reason, the results obtained with the same cell lines by different research groups are often not fully comparable, this leading to main reproducibility issues. The short tandem repeat (STR) profile has been proposed as a molecular method for cell line authentication. STR profile standard data sets for human cell lines were proposed by some of the leading cell banks worldwide which also have made the results of STR profiling of their cell lines available on-line. We have built the Cell Line Integrated Molecular Authentication Database (CLIMA) as a reference portal where authentication data are made available to the scientific community. This system, although already largely utilized by researchers from all over the world, presented some limitations and only included a limited amount of STR profiles. Here, we present its most recent developments: the inclusion of additional cell banks and profiles and the availability of a new identification tool.

Author Comment

This is an abstract which has been accepted for the BITS2016 Meeting