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Enregistrement W2135661335 · doi:10.2172/832808

The Adaptive Response in p53 Cancer Prone Mice: Loss of heterozygosity and Genomic Instability

2004· report· en· W2135661335 sur OpenAlexaff
Lavoie Josee, J.-A. Dolling, Ron E. J. Mitchel, Douglas R. Boreham

Notice bibliographique

Revuenon disponible
Typereport
Langueen
DomaineMedicine
ThématiqueCancer-related Molecular Pathways
Établissements canadiensAtomic Energy (Canada)Credit Valley HospitalMcMaster University
Organismes subventionnairesnon disponible
Mots-clésGenome instabilityLoss of heterozygosityBiologyChromosome instabilityGeneCancer researchCancerLocus (genetics)Ionizing radiationIn vivoGeneticsAndrologyIrradiationMedicineDNA damageChromosomeDNAAllele

Résumé

récupéré en direct d'OpenAlex

The Trp53 gene is clearly associated with increased cancer risk. This, coupled with the broad understanding of its mode of action at the molecular level, makes this gene a good candidate for investigating the relationship between genetic risk factors and spontaneous cancer occurring in a mouse model exposed to low dose radiation. We have shown that adaptive response to chronic low dose radiation could increase cancer latency, as well as overall lifespan. To better understand the molecular processes that influence cellular risk, modern tools in molecular biology were used to evaluate the loss of heterozigozity (LOH) at the Trp53 locus, and chromosomal instability in the cells from mice exposed to chronic low dose radiation. Female mice carrying a single defective copy of the Trp53 gene were irradiated with doses of gamma-radiation delivered at a low dose rate of about 0.7 mGy/hr. Groups of mice (5 irradiated and 5 unexposed) were exposed to 0.33 mGy per day for 15, 30, 45, 60, 67 and 75 weeks equaling total body doses of 2.4, 4.7, 7.2, 9.7, 10.9 and 12.1 cGy, respectively. The presence of a single defective copy of the Trp53 gene increases cancer risk in these mice. However, in vivo exposure to low dose radiation increased cancer latency. We hypothesized that: (1) These mice might have spontaneous chromosome instability, and (2) that this low dose adaptive exposure would reduce the chromosomal instability. This instability was investigated using spectral karyotyping (SKY). Bone marrow cells from 5 irradiated mice (doses of 10.9 and 12.1 cGy) and 5 control mice were collected for metaphase harvest. Briefly, the cells were incubated at 37 C for 4 hours in RPMI containing 25% heat-inactivated FBS and 0.1 mg/ml colcemid, and then given a hypotonic treatment of 0.075M KCl for 20 minutes at 37 C. An average of 100 metaphases per mouse were karyotyped. The Trp53 heterozygous mice do not show apparent structural chromosome instability. From both unexposed and irradiated mice, only numerical aberrations were observed in 5 to 20% of the cells. There seem to be an age related increase in numerical aberrations as mice grow old. The results indicate that the presence of a defective copy of the Trp53 gene does not seem to affect spontaneous chromosomal instability or in response to chronic low dose exposure to g-radiation. In previous studies it was speculated that low dose and low dose rate in vivo exposure to g-radiation induces an adaptive response, which reduces the risk of cancer death generated by subsequent DNA damage from either spontaneous or radiation induced events due to enhanced recombinational repair. Induced recombination could result from reversion to homozygosity at Trp53 gene locus (Trp53 +/- to +/+) or loss of heterozygosity in unexposed mice (Trp53 +/- to -/-). This hypothesis was investigated using the quantitative real-time Polymerase Chain Reaction (QRT-PCR) quantification method and the novel Rolling Circle Amplification technique (RCA). For these purposes, spleenocytes and bone marrow cells from all the mice were isolated for cell fixation and DNA extraction. The defective Trp53 allele is generated by integration of a portion of the cloning vector pKONEO DNA into the coding sequence. Therefore, the genotypic changes are monitored based on the detection of the NEO allele and the normal Trp53 allele in the cells. To evaluate loss of heterozygosity at the Trp53 gene locus in a cell, detection of the NEO allele and the normal Trp53 allele using the dual color RCA was utilized. In our hands, this protocol did not give the required sensitivity. The gene signal enumeration was inconsistent and not reproducible. The protocol was modified and could not be optimized. Therefore, the QRT-PCR method was selected to evaluate the loss of heterozygosity with greater sensitivity and efficiency. A set of 4 primers was designed to target the NEO allele and the normal Trp53 allele in a PCR experiment using the LightCycler instrument (Roche Diagnostics). Detection of the specific PCR amplicon using the SYBR Green fluorescent dye provided real-time analysis of amplified target sequences. More than 800 real-time PCR reactions were conducted on DNA extracted from tissues of the irradiated and unexposed mice from the 30, 45, 60, 67 and 75 week groups. The crossing point (Cp) value calculated from the amplification curve correlates to the original number of copies of the Trp53 gene in the DNA sample. The Cp values were evaluated using the quantification software. A statistical analysis of the data is in progress to confirm any changes in the original number of DNA copies. This research will provide important information regarding the health effects and cancer risk of low doses of low LET radiation and should support the development of a biologically based model for risk assessment and subsequent radiation protection policy.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,308
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2004
Routes d'admission1
Résumé présentoui

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