1. WHAT ROLES FOR TRACK-STRUCTURE AND MICRODOSIMETRY IN THE ERA OF -omics AND SYSTEMS BIOLOGY?
- Author
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Giorgio Baiocco, Gabriele Babini, Hans Rabus, Jacopo Morini, Andrea Ottolenghi, Werner Friedland, Carmen Villagrasa, Sofia Barbieri, University of Pavia, Helmholtz-Zentrum München (HZM), PSE-SANTE/SDOS/LDRI, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), and Physikalisch-Technische Bundesanstalt [Braunschweig] (PTB)
- Subjects
[PHYS]Physics [physics] ,Paper ,Radiation Biophysics ,Reductionism ,Radiation ,Radiological and Ultrasound Technology ,Computer science ,Systems Biology ,Systems biology ,Public Health, Environmental and Occupational Health ,Radiobiology ,General Medicine ,Complex network ,Radiation Dosage ,Data science ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Overall response rate ,Radiation, Ionizing ,030220 oncology & carcinogenesis ,Radiology, Nuclear Medicine and imaging ,Radiometry ,Relative Biological Effectiveness ,DNA Damage - Abstract
International audience; Ionizing radiation is a peculiar perturbation when it comes to damage to biological systems it proceeds through discrete energy depositions, over a short temporal scale and a spatial scale critical for subcellular targets as DNA, whose damage complexity determines the outcome of the exposure. This lies at the basis of the success of track structure (and nanodosimetry) and microdosimetry in radiation biology. However, such reductionist approaches cannot account for the complex network of interactions regulating the overall response of the system to radiation, particularly when effects are manifest at the supracellular level and involve long times. Systems radiation biology is increasingly gaining ground, but the gap between reductionist and holistic approaches is becoming larger. This paper presents considerations on what roles track structure and microdosimetry can have in the attempt to fill this gap, and on how they can be further exploited to interpret radiobiological data and inform systemic approaches. © The Author(s) 2018. Published by Oxford University Press.
- Published
- 2018
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