Aneuploidy and Consistent Structural Chromosome Changes Associated with Transformation of Syrian Hamster Embryo Cells

Aardema, Marilyn J.; Crosby, Leslie; Gibson, David; Kerckaert, Gary A.; LeBoeuf, Robert A.

doi:10.1016/s0165-4608(96)00301-9

Cited by 7 publications

(4 citation statements)

References 29 publications

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“…We found that these cell-batch-specific events usually occur throughout the entire chromosome or entire arm, especially on chromosomes X, 2, and 12 (Supplemental Fig. 7), which were also reported to form aneuploidy in other cell-line studies (Risin et al 1992(Risin et al , 1993Aardema et al 1997;Locke et al 2006). Thus, our analysis indicates that CNV detection algorithms based only on signal intensity can be misleading, and that genotype data on cell lines should be interpreted with caution.…”

Section: The Use Of Family Information In Cnv Characterizationmentioning

confidence: 53%

PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

Wang¹,

Li²,

Hadley³

et al. 2007

Genome Res.

1,621

1,839

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Comprehensive identification and cataloging of copy number variations (CNVs) is required to provide a complete view of human genetic variation. The resolution of CNV detection in previous experimental designs has been limited to tens or hundreds of kilobases. Here we present PennCNV, a hidden Markov model (HMM) based approach, for kilobase-resolution detection of CNVs from Illumina high-density SNP genotyping data. This algorithm incorporates multiple sources of information, including total signal intensity and allelic intensity ratio at each SNP marker, the distance between neighboring SNPs, the allele frequency of SNPs, and the pedigree information where available. We applied PennCNV to genotyping data generated for 112 HapMap individuals; on average, we detected ∼27 CNVs for each individual with a median size of ∼12 kb. Excluding common rearrangements in lymphoblastoid cell lines, the fraction of CNVs in offspring not detected in parents (CNV-NDPs) was 3.3%. Our results demonstrate the feasibility of whole-genome fine-mapping of CNVs via high-density SNP genotyping.

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Section: The Use Of Family Information In Cnv Characterizationmentioning

confidence: 53%

PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

Wang¹,

Li²,

Hadley³

et al. 2007

Genome Res.

1,621

1,839

View full text Add to dashboard Cite

show abstract

“…Aneuploidy is the gain or loss of chromosomes; it is a dynamic, progressive, and accumulative event that is almost universal in solid tumors and occurs early in neoplastic development (11)(12)(13)(14). The chromosome imbalance occurring in aneuploid cell populations results in altered gene dosage, gene balance, and loss of heterozygosity, common events associated with tumorigenesis.…”

mentioning

confidence: 99%

Progesterone facilitates chromosome instability (aneuploidy) in p53 null

et al. 2000

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Mammary epithelial cells from p53 null mice have been shown recently to exhibit an increased risk for tumor development. Hormonal stimulation markedly increased tumor development in p53 null mammary cells. Here we demonstrate that mammary tumors arising in p53 null mammary cells are highly aneuploid, with greater than 70% of the tumor cells containing altered chromosome number and a mean chromosome number of 56. Normal mammary cells of p53 null genotype and aged less than 14 wk do not exhibit aneuploidy in primary cell culture. Significantly, the hormone progesterone, but not estrogen, increases the incidence of aneuploidy in morphologically normal p53 null mammary epithelial cells. Such cells exhibited 40% aneuploidy and a mean chromosome number of 54. The increase in aneuploidy measured in p53 null tumor cells or hormonally stimulated normal p53 null cells was not accompanied by centrosome amplification. These results suggest that normal levels of progesterone can facilitate chromosomal instability in the absence of the tumor suppressor gene, p53. The results support the emerging hypothesis based both on human epidemiological and animal model studies that progesterone markedly enhances mammary tumorigenesis.

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“…loss of heterozygosity and aneuploidy, can be detected at early stages of morphological atypia, supporting the hypothesis that aneuploidy is a critical event driving neoplastic development and progression [134,135]. Aneuploidy is defined as the gain or loss of chromosomes; it is a dynamic, progressive, and accumulative event that is almost universal in solid tumors [136,137]. The extensive array of altered gene expression observed in tumors and the numerous altered chromosomes detected by CGH [72,138] provide striking evidence that aneuploidy can totally disrupt cell homeostatic control.…”

mentioning

confidence: 77%

“…There are three mechanisms that have been considered to be responsible for the carcinogenicity of estrogens: receptor-mediated hormonal activity, which has generally been related to stimulation of cellular proliferation, resulting in more opportunities for accumulation of genetic damages leading to carcinogenesis [56,63,[75][76][77][78][79][80][81][82][83][84][85][86], a cytochrome P450 (CYP)-mediated metabolic activation, which elicits direct genotoxic effects by increasing mutation rates [26,64,65,, and the induction of aneuploidy by estrogen [65][66][67][68][69][70][71][72][73][134][135][136][137][138][139][140][141][142][143][144][145][146][147][148]. There is also evidence that estrogen compromises the DNA repair system and allows accumulation of lesions in the genome essential to estrogen-induced tumorigenesis [74].…”

Section: Introductionmentioning

confidence: 99%

Estrogen and Breast Cancer

Russo¹

2004

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Aneuploidy and Consistent Structural Chromosome Changes Associated with Transformation of Syrian Hamster Embryo Cells

Cited by 7 publications

References 29 publications

PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

Progesterone facilitates chromosome instability (aneuploidy) in p53 null

Estrogen and Breast Cancer

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