Literature DB >> 17276998

Energy deposition stochastics and track structure: what about the target?

Dudley T Goodhead1.   

Abstract

The broad field of microdosimetry, as reflected in the proceedings of the 13 previous symposia in this series, has been largely concerned with the microscopic stochastics of energy deposition from ionising radiations of different qualities, the ways in which these can be described and the information that they can provide towards mechanistic understanding of the biological effects of radiation and for practical applications. Directions of the research have been strongly influenced by technical developments at particular times, most notably the tissue-equivalent proportional counter and later Monte Carlo track-structure simulation methods. Essential to the research have been evolving notions as to characteristics of the relevant biological targets, and in particular their sizes and structures in relation to the microscopic features of the radiation. Over the decades since the first Symposium on Microdosimetry, in 1967, emphasis has fluctuated from key targets being assumed to be of nanometre dimensions, then up to one micrometer, ten micrometers, and then back again to a few nanometres. Some of these historical threads are traced through the successive symposia, culminating in current emphasis on the predominant importance of clustered damage in DNA, first revealed by track-structure simulations, but tempered by recognition also of the contribution that novel 'non-targeted' effects may play in the overall biological consequences of radiation.

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Year:  2007        PMID: 17276998     DOI: 10.1093/rpd/ncl498

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  44 in total

Review 1.  Biologically relevant oxidants and terminology, classification and nomenclature of oxidatively generated damage to nucleobases and 2-deoxyribose in nucleic acids.

Authors:  Jean Cadet; Steffen Loft; Ryszard Olinski; Mark D Evans; Karol Bialkowski; J Richard Wagner; Peter C Dedon; Peter Møller; Marc M Greenberg; Marcus S Cooke
Journal:  Free Radic Res       Date:  2012-02-22

2.  A review: Development of a microdose model for analysis of adaptive response and bystander dose response behavior.

Authors:  Bobby E Leonard
Journal:  Dose Response       Date:  2008-02-27       Impact factor: 2.658

3.  Absolute measurements of radiation damage in nanometer-thick films.

Authors:  Elahe Alizadeh; Léon Sanche
Journal:  Radiat Prot Dosimetry       Date:  2012-05-03       Impact factor: 0.972

4.  Comparison of human lung cancer cell radiosensitivity after irradiations with therapeutic protons and carbon ions.

Authors:  Otilija D Keta; Danijela V Todorović; Tanja M Bulat; Pablo Ga Cirrone; Francesco Romano; Giacomo Cuttone; Ivan M Petrović; Aleksandra M Ristić Fira
Journal:  Exp Biol Med (Maywood)       Date:  2016-09-15

5.  Radiation-generated short DNA fragments may perturb non-homologous end-joining and induce genomic instability.

Authors:  Dalong Pang; Thomas A Winters; Mira Jung; Shubhadeep Purkayastha; Luciane R Cavalli; Sergey Chasovkikh; Bassem R Haddad; Anatoly Dritschilo
Journal:  J Radiat Res       Date:  2011       Impact factor: 2.724

6.  Correlation between energy deposition and molecular damage from Auger electrons: A case study of ultra-low energy (5-18 eV) electron interactions with DNA.

Authors:  Mohammad Rezaee; Darel J Hunting; Léon Sanche
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

7.  Synergy theory for murine Harderian gland tumours after irradiation by mixtures of high-energy ionized atomic nuclei.

Authors:  Edward Greg Huang; Yimin Lin; Mark Ebert; Dae Woong Ham; Claire Yunzhi Zhang; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2019-02-02       Impact factor: 1.925

8.  What mechanisms/processes underlie radiation-induced genomic instability?

Authors:  Andrei V Karotki; Keith Baverstock
Journal:  Cell Mol Life Sci       Date:  2012-09-06       Impact factor: 9.261

9.  Integrating informative priors from experimental research with Bayesian methods: an example from radiation epidemiology.

Authors:  Ghassan Hamra; David Richardson; Richard Maclehose; Steve Wing
Journal:  Epidemiology       Date:  2013-01       Impact factor: 4.822

10.  Uncomfortable issues in radiation protection posed by low-dose radiobiology.

Authors:  Carmel Mothersill; Colin Seymour
Journal:  Radiat Environ Biophys       Date:  2013-05-15       Impact factor: 1.925

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