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1.
Radiat Res ; 165(4): 460-9, 2006 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-16579659

RESUMO

Microbeam, medium-transfer and low-dose experiments have demonstrated that intercellular signals can initiate many of the same biological events and processes as direct exposure to ionizing radiation. These phenomena cast doubt on cell-autonomous modes of action and the linear, no-threshold carcinogenesis paradigm. To account for the effects of intercellular signals, new approaches are needed to relate dosimetric quantities to the emission and processing of signals by irradiated and unirradiated cells. In this paper, microdosimetric principles are used to develop a stochastic model to relate absorbed dose to the emission and processing of cell death signals by unirradiated cells. Our analyses of published results of medium transfer experiments performed using HPV-G human keratinocytes suggest that the emission of death signals is a bi-exponential function of dose with a distinct plateau in the 5- to 100-mGy range. However, the emission of death signals by HPV-G cells may not become fully saturated until the absorbed dose becomes larger than 0.6 Gy. Similar saturation effects have been observed in microbeam and medium-transfer experiments with other mammalian cell lines. The model predicts that the cell-killing effect of medium-borne death signals decreases exponentially as the absorbed dose becomes small compared to the frequency-mean specific energy per radiation event.


Assuntos
Apoptose/fisiologia , Apoptose/efeitos da radiação , Comunicação Celular/fisiologia , Comunicação Celular/efeitos da radiação , Fenômenos Fisiológicos Celulares/efeitos da radiação , Meios de Cultura/metabolismo , Modelos Biológicos , Animais , Células Cultivadas , Simulação por Computador , Meios de Cultura/efeitos da radiação , Humanos , Transferência Linear de Energia/fisiologia , Transferência Linear de Energia/efeitos da radiação
3.
Int J Radiat Biol ; 81(6): 421-8, 2005 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-16249160

RESUMO

Sample preparation procedures for the pulsed-field gel electrophoresis (PFGE) assay usually involve a lysis step at temperatures as high as 50 degrees C. During this warm-lysis procedure, multiply damaged sites containing heat-labile sites (HLS) can be converted into double-strand breaks (DSB). Once formed, these DSB cannot be distinguished from the DSB formed directly by ionizing radiation. This paper develops a method to correct DSB estimates for the effects of HLS in warm-lysis protocols. A first-order repair model is used to predict the number of HLS available for conversion into DSB as a function of the time available for repair before initiating warm-lysis. A mathematical expression is derived to separate prompt DSB from those formed through the artefactual conversion of HLS into DSB. The proposed formalism only requires the specification of two adjustable parameters, both of which can be estimated from measured data. Estimates of prompt DSB yields obtained by correcting warm-lysis data are in good agreement with estimates obtained using cold-lysis protocols, which do not include the effect of HLS. The retrospective analyses of two published datasets suggest that corrections for HLS have a substantial impact on DSB yields within the first 20-30 min after irradiation. Bi-exponential fits to the DSB data for Chinese hamster ovary cells suggest that corrections for HLS reduce the half-time for fast DSB rejoining by about 15%, whereas the half-time for the slow DSB rejoining only decreases by 4%. The total DSB yield and the fraction of fast-rejoining DSB decrease by 24 and 38%, respectively, when the correction is applied. The proposed formalism can be used to characterize trends and uncertainties in DSB rejoining kinetics associated with the artefactual conversion of HLS into DSB. The retrospective application of the methodology to warm-lysis data enhances their relevance and usefulness for studies of DSB rejoining kinetics.


Assuntos
Dano ao DNA , Reparo do DNA , Eletroforese em Gel de Campo Pulsado , Temperatura Alta , Humanos , Estudos Retrospectivos
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