Skip Navigation



Nucleic Acids Research Advance Access published online on February 27, 2008
Nucleic Acids Research, doi:10.1093/nar/gkn089
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (7206K) Freely available
Right arrow Screen PDF (905K) Freely available
Right arrow Supplementary Data
Right arrowOA All Versions of this Article:
36/7/2446    most recent
gkn089v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Demichelis, F.
Right arrow Articles by Rubin, M. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Demichelis, F.
Right arrow Articles by Rubin, M. A.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Computational Biology

SNP panel identification assay (SPIA): a genetic-based assay for the identification of cell lines

Francesca Demichelis1,2,*, Heidi Greulich2,3,4, Jill A. Macoska5, Rameen Beroukhim2,3,4, William R. Sellers2,3,4, Levi Garraway2,3,4 and Mark A. Rubin1,2,4

1Department of Pathology, Brigham and Women's Hospital, 2Harvard Medical School, 3Department of Medical Oncology and Center for Cancer Genome Discovery, Dana Farber Cancer Institute, Boston, MA, 4Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA and 5Department of Urology and Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI USA

*To whom correspondence should be addressed. Tel: +1 646 962 5616; Fax: +1 212 746 8816; Email: frd2004{at}med.cornell.edu

Received December 26, 2007. Revised February 10, 2008. Accepted February 11, 2008.

Translational research hinges on the ability to make observations in model systems and to implement those findings into clinical applications, such as the development of diagnostic tools or targeted therapeutics. Tumor cell lines are commonly used to model carcinogenesis. The same tumor cell line can be simultaneously studied in multiple research laboratories throughout the world, theoretically generating results that are directly comparable. One important assumption in this paradigm is that researchers are working with the same cells. However, recent work using high throughput genomic analyses questions the accuracy of this assumption. Observations by our group and others suggest that experiments reported in the scientific literature may contain pre-analytic errors due to inaccurate identities of the cell lines employed. To address this problem, we developed a simple approach that enables an accurate determination of cell line identity by genotyping 34 single nucleotide polymorphisms (SNPs). Here, we describe the empirical development of a SNP panel identification assay (SPIA) compatible with routine use in the laboratory setting to ensure the identity of tumor cell lines and human tumor samples throughout the course of long term research use.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Nucleic Acids ResHome page
T. LaFramboise
Single nucleotide polymorphism arrays: a decade of biological, computational and technological advances
Nucleic Acids Res., July 1, 2009; (2009) gkp552v1.
[Abstract] [Full Text] [PDF]

Home page
 Cancer Res.Home page
S. L. Volchenboum, C. Li, S. Li, E. F. Attiyeh, C. P. Reynolds, J. M. Maris, A. T. Look, and R. E. George
Comparison of Primary Neuroblastoma Tumors and Derivative Early-Passage Cell Lines Using Genome-Wide Single Nucleotide Polymorphism Array Analysis
Cancer Res., May 15, 2009; 69(10): 4143 - 4149.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
P. Romano, A. Manniello, O. Aresu, M. Armento, M. Cesaro, and B. Parodi
Cell Line Data Base: structure and recent improvements towards molecular authentication of human cell lines
Nucleic Acids Res., January 1, 2009; 37(suppl_1): D925 - D932.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.