DNA fingerprinting of glioma cell lines and considerations on similarity measurements

被引:52
作者
Bady, Pierre [2 ,3 ,5 ,6 ]
Diserens, Annie-Claire [2 ,5 ]
Castella, Vincent [4 ,7 ]
Kalt, Stefanie [9 ]
Heinimann, Karl [9 ]
Hamou, Marie-France [2 ,5 ]
Delorenzi, Mauro [3 ,6 ,8 ]
Hegi, Monika E. [1 ,2 ,5 ,8 ]
机构
[1] Univ Lausanne Hosp, Lab Brain Tumor Biol & Genet, CH-1011 Lausanne, Switzerland
[2] Univ Ctr Legal Med, Lab Brain Tumor Biol & Genet, Dept Clin Neurosci, Lausanne, Switzerland
[3] Univ Ctr Legal Med, Dept Educ & Res, Lausanne, Switzerland
[4] Univ Ctr Legal Med, Forens Genet Unit, Lausanne, Switzerland
[5] Univ Ctr Legal Med, Lab Brain Tumor Biol & Genet, Dept Clin Neurosci, Geneva, Switzerland
[6] Univ Ctr Legal Med, Dept Educ & Res, Geneva, Switzerland
[7] Univ Ctr Legal Med, Forens Genet Unit, Geneva, Switzerland
[8] Natl Ctr Competence Res Mol Oncol, Lausanne, Switzerland
[9] Univ Childrens Hosp, Dept Biomed, Res Grp Human Genet, Basel, Switzerland
基金
瑞士国家科学基金会;
关键词
glioblastoma cell lines; misidentification; similarity score; STR fingerprint; GLIOBLASTOMA; GROWTH; GENES;
D O I
10.1093/neuonc/nos072
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
Glioma cell lines are an important tool for research in basic and translational neuro-oncology. Documentation of their genetic identity has become a requirement for scientific journals and grant applications to exclude cross-contamination and misidentification that lead to misinterpretation of results. Here, we report the standard 16 marker short tandem repeat (SIR) DNA fingerprints for a panel of 39 widely used glioma cell lines as reference. Comparison of the fingerprints among themselves and with the large DSMZ database comprising 9 marker STRs for 2278 cell lines uncovered 3 misidentified cell lines and confirmed previously known cross-contaminations. Furthermore, 2 glioma cell lines exhibited identity scores of 0.8, which is proposed as the cutoff for detecting cross-contamination. Additional characteristics, comprising lack of a B-raf mutation in one line and a similarity score of 1 with the original tumor tissue in the other, excluded a cross-contamination. Subsequent simulation procedures suggested that, when using DNA fingerprints comprising only 9 SIR markers, the commonly used similarity score of 0.8 is not sufficiently stringent to unambiguously differentiate the origin. DNA fingerprints are confounded by frequent genetic alterations in cancer cell lines, particularly loss of heterozygosity, that reduce the informativeness of SIR markers and, thereby, the overall power for distinction. The similarity score depends on the number of markers measured; thus, more markers or additional cell line characteristics, such as information on specific mutations, may be necessary to clarify the origin.
引用
收藏
页码:701 / 711
页数:11
相关论文
共 29 条
[1]
Alonso M, 2001, CANCER RES, V61, P2124
[2]
[Anonymous], 1999, Tiss. Cult. Res. Commun., DOI [10.11418/jtca1981.18.4329, DOI 10.11418/JTCA1981.18.4_329, DOI 10.11418/JTCA1981.18.4329]
[3]
[Anonymous], 2006, Randomization, bootstrap and Monte Carlo methods in biology
[4]
[Anonymous], 2011, R LANG ENV STAT COMP
[5]
Profiling and authentication of human cell lines using short tandem repeat (STR) loci: Report from the National Cell Bank of Iran [J].
Azari, Shahram ;
Ahmadi, Nahid ;
Tehrani, Mahmood Jeddi ;
Shokri, Fazel .
BIOLOGICALS, 2007, 35 (03) :195-202
[6]
Becker R.A., 1988, NEW S LANGUAGE PROGR
[7]
MEASURES OF THE AMOUNT OF ECOLOGIC ASSOCIATION BETWEEN SPECIES [J].
DICE, LR .
ECOLOGY, 1945, 26 (03) :297-302
[8]
Comparison of similarity coefficients based on RAPD markers in the common bean [J].
Duarte, JM ;
dos Santos, JB ;
Melo, LC .
GENETICS AND MOLECULAR BIOLOGY, 1999, 22 (03) :427-432
[9]
A GENERAL METHOD OF TAXONOMIC DESCRIPTION FOR A COMPUTED SIMILARITY MEASURE [J].
ESTABROOK, GF ;
ROGERS, DJ .
BIOSCIENCE, 1966, 16 (11) :789-+
[10]
GENERAL COEFFICIENT OF SIMILARITY AND SOME OF ITS PROPERTIES [J].
GOWER, JC .
BIOMETRICS, 1971, 27 (04) :857-&