↓ Skip to main content

Modeling radiation-induced cell death: role of different levels of DNA damage clustering

Overview of attention for article published in Radiation and Environmental Biophysics, May 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
21 Mendeley
Title
Modeling radiation-induced cell death: role of different levels of DNA damage clustering
Published in
Radiation and Environmental Biophysics, May 2015
DOI 10.1007/s00411-015-0601-x
Pubmed ID
Authors

M. P. Carante, S. Altieri, S. Bortolussi, I. Postuma, N. Protti, F. Ballarini

Abstract

Some open questions on the mechanisms underlying radiation-induced cell death were addressed by a biophysical model, focusing on DNA damage clustering and its consequences. DNA "cluster lesions" (CLs) were assumed to produce independent chromosome fragments that, if created within a micrometer-scale threshold distance (d), can lead to chromosome aberrations following mis-rejoining; in turn, certain aberrations (dicentrics, rings and large deletions) were assumed to lead to clonogenic cell death. The CL yield and d were the only adjustable parameters. The model, implemented as a Monte Carlo code called BIophysical ANalysis of Cell death and chromosome Aberrations (BIANCA), provided simulated survival curves that were directly compared with experimental data on human and hamster cells exposed to photons, protons, α-particles and heavier ions including carbon and iron. d = 5 μm, independent of radiation quality, and CL yields in the range ~2-20 CLs Gy(-1) cell(-1), depending on particle type and energy, led to good agreement between simulations and data. This supports the hypothesis of a pivotal role of DNA cluster damage at sub-micrometric scale, modulated by chromosome fragment mis-rejoining at micrometric scale. To investigate the features of such critical damage, the CL yields were compared with experimental or theoretical yields of DNA fragments of different sizes, focusing on the base-pair scale (related to the so-called local clustering), the kbp scale ("regional clustering") and the Mbp scale, corresponding to chromatin loops. Interestingly, the CL yields showed better agreement with kbp fragments rather than bp fragments or Mbp fragments; this suggests that also regional clustering, in addition to other clustering levels, may play an important role, possibly due to its relationship with nucleosome organization in the chromatin fiber.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 5%
Canada 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Master 4 19%
Other 3 14%
Researcher 3 14%
Lecturer 1 5%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Physics and Astronomy 9 43%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 1 5%
Business, Management and Accounting 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2015.
All research outputs
#21,162,249
of 23,815,455 outputs
Outputs from Radiation and Environmental Biophysics
#407
of 456 outputs
Outputs of similar age
#223,940
of 265,293 outputs
Outputs of similar age from Radiation and Environmental Biophysics
#3
of 3 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 456 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.