Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Dose response relationships for gamma radiation induced chromosomal instability

Y.A. Eidelman, S.V. Slanina, V.S. Pyatenko, I.K. Khvostunov, S.G. Andreev
doi: https://doi.org/10.1101/224741
Y.A. Eidelman
1Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S.V. Slanina
1Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
V.S. Pyatenko
1Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia
2A. Tsyb Medical Radiological Research Center-branch of the National Medical Research Radiological Center of the Ministry of Health, Obninsk, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
I.K. Khvostunov
2A. Tsyb Medical Radiological Research Center-branch of the National Medical Research Radiological Center of the Ministry of Health, Obninsk, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S.G. Andreev
1Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia
3National Research Nuclear University MEPhI, Moscow, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: andreev_sg@mail.ru
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

Different cell lines demonstrate various dose response for radiation-induced chromosomal instability (RICI). To clarify the origin of differences we analyzed own and published data on RICI for four cell lines, V79, TK6, WTK1 and CHO-K1 on the basis of the mechanistic RICI model. We conclude that observable dose-response shapes, both plateau-like and strong dose dependent behavior, may be jointly explained by the same model of RICI. Mechanistic modeling reveals that a variation of certain set of RICI parameters leads to strong modification of dose-response curve.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted November 25, 2017.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Dose response relationships for gamma radiation induced chromosomal instability
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Dose response relationships for gamma radiation induced chromosomal instability
Y.A. Eidelman, S.V. Slanina, V.S. Pyatenko, I.K. Khvostunov, S.G. Andreev
bioRxiv 224741; doi: https://doi.org/10.1101/224741
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Dose response relationships for gamma radiation induced chromosomal instability
Y.A. Eidelman, S.V. Slanina, V.S. Pyatenko, I.K. Khvostunov, S.G. Andreev
bioRxiv 224741; doi: https://doi.org/10.1101/224741

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Cancer Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3609)
  • Biochemistry (7590)
  • Bioengineering (5533)
  • Bioinformatics (20833)
  • Biophysics (10347)
  • Cancer Biology (7998)
  • Cell Biology (11663)
  • Clinical Trials (138)
  • Developmental Biology (6619)
  • Ecology (10227)
  • Epidemiology (2065)
  • Evolutionary Biology (13648)
  • Genetics (9557)
  • Genomics (12860)
  • Immunology (7932)
  • Microbiology (19575)
  • Molecular Biology (7678)
  • Neuroscience (42193)
  • Paleontology (309)
  • Pathology (1259)
  • Pharmacology and Toxicology (2208)
  • Physiology (3272)
  • Plant Biology (7064)
  • Scientific Communication and Education (1295)
  • Synthetic Biology (1953)
  • Systems Biology (5435)
  • Zoology (1119)