Radiation and Environmental Biophysics

, Volume 49, Issue 1, pp 1–4 | Cite as

Use of proteomics in radiobiological research: current state of the art

  • Soile TapioEmail author
  • Sabine Hornhardt
  • Maria Gomolka
  • Dariusz Leszczynski
  • Anton Posch
  • Stefan Thalhammer
  • Michael J. Atkinson

Biological systems are complex, variable and to a great extent adaptive to environmental and occupational challenge such as ionising radiation, making the mathematical modelling of their behaviour a difficult task. The required models need to be based on useful experimental data describing global effects on a cellular, tissue and organ level. High-throughput technologies such as proteomics have been shown to be powerful tools on many areas of modern biology. In radiation biology, especially facing the question of possible adverse health effects following exposures to low doses of ionising and non-ionising radiation, new and sensitive approaches are slowly gaining support.

Epidemiological studies suggest that doses of ionising radiation much lower than previously assumed may cause adverse effects on human health. However, the epidemiological approach in validating the health hazards of low-dose ionising radiation may not be sensitive enough to detect weak biological effects, nor will it...


Proteomics Approach Human Endothelial Cell Line Radiobiological Study Reverse Phase Protein Microarray Phase Protein Microarray 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This article is based on the information gained from the lectures and discussions during the 1st International Radiation Proteomics Workshop held in Munich, May 27–28, 2009. We want to especially thank the scientists who authorised us to use the unpublished data mentioned in this article. Federal Office for Radiation Protection (Grant 3608S03030) and Helmholtz Zentrum München are acknowledged for their financial support to the workshop.


  1. Becker KF, Schott C, Hipp S, Metzger V et al (2007) Quantitative protein analysis from formalin-fixed tissues: implications for translational clinical research and nanoscale molecular diagnosis. J Pathol 211:370–378CrossRefGoogle Scholar
  2. Berglund L, Bjorling E, Oksvold P, Fagerberg L et al (2008) A gene centric human protein atlas for expression profiles based on antibodies. Mol Cell Proteomics 7:2019–2027CrossRefGoogle Scholar
  3. de Araujo ME, Huber LA, Stasyk T (2008) Isolation of endocytic organelles by density gradient centrifugation. Methods Mol Biol 424:317–331CrossRefGoogle Scholar
  4. Derradji H, Bekaert S, De Meyer T, Jacquet P et al (2008) Ionizing radiation-induced gene modulations, cytokine content changes and telomere shortening in mouse foetuses exhibiting forelimb defects. Dev Biol 322:302–313CrossRefGoogle Scholar
  5. Dieriks B, De Vos W, Meesen G, Van Oostveldt K et al (2009) High content analysis of human fibroblast cell cultures after exposure to space radiation. Radiat Res 172:423–436CrossRefGoogle Scholar
  6. Feinendegen L, Hahnfeldt P, Schadt EE, Stumpf M, Voit EO (2008) Systems biology and its potential role in radiobiology. Radiat Environ Biophys 47:5–23CrossRefGoogle Scholar
  7. Gohlke JM, Portier CJ (2007) The forest for the trees: a systems approach to human health research. Environ Health Perspect 115:1261–1263CrossRefGoogle Scholar
  8. Guipaud O, Holler V, Buard V, Tarlet G et al (2007) Time-course analysis of mouse serum proteome changes following exposure of the skin to ionizing radiation. Proteomics 7:3992–4002CrossRefGoogle Scholar
  9. Hartmann M, Roeraade J, Stoll D, Templin MF, Joos TO (2009) Protein microarrays for diagnostic assays. Anal Bioanal Chem 393:1407–1416CrossRefGoogle Scholar
  10. Hauck SM, Gloeckner CJ, Harley ME, Schoeffmann S et al (2008) Identification of paracrine neuroprotective candidate proteins by a functional assay-driven proteomics approach. Mol Cell Proteomics 7:1349–1361CrossRefGoogle Scholar
  11. Karinen A, Heinavaara S, Nylund R, Leszczynski D (2008) Mobile phone radiation might alter protein expression in human skin. BMC Genomics 9:77CrossRefGoogle Scholar
  12. Leszczynski D, Meltz ML (2006) Questions and answers concerning applicability of proteomics and transcriptomics in EMF research. Proteomics 6:4674–4677CrossRefGoogle Scholar
  13. Little MP, Tawn EJ, Tzoulaki I, Wakeford R et al (2008) A systematic review of epidemiological associations between low and moderate doses of ionizing radiation and late cardiovascular effects, and their possible mechanisms. Radiat Res 169:99–109CrossRefGoogle Scholar
  14. Marin-Sanguino A, Mendoza ER (2008) Hybrid modelling in computational neuropsychiatry. Pharmacopsychiatry 41(Suppl 1):S85–S88CrossRefGoogle Scholar
  15. Nylund R, Leszczynski D (2004) Proteomics analysis of human endothelial cell line EA.hy926 after exposure to GSM 900 radiation. Proteomics 4:1359–1365CrossRefGoogle Scholar
  16. Nylund R, Leszczynski D (2006) Mobile phone radiation causes changes in gene and protein expression in human endothelial cell lines and the response seems to be genome- and proteome-dependent. Proteomics 6:4769–4780CrossRefGoogle Scholar
  17. Paradela A, Escuredo PR, Albar JP (2006) Geographical focus. Proteomics initiatives in Spain: proteo red. Proteomics 6(Suppl 2):73–76CrossRefGoogle Scholar
  18. Paretzke HG (2008) The first international workshop on systems radiation biology: a new approach to solve old questions. Radiat Environ Biophys 47:3–4CrossRefGoogle Scholar
  19. Smith RW, Wang J, Bucking CP, Mothersill CE, Seymour CB (2007) Evidence for a protective response by the gill proteome of rainbow trout exposed to X-ray induced bystander signals. Proteomics 7:4171–4180CrossRefGoogle Scholar
  20. Tapio S, Atkinson MJ (2008) Molecular information obtained from radiobiological tissue archives: achievements of the past and visions of the future. Radiat Environ Biophys 47:183–187CrossRefGoogle Scholar
  21. Tapio S, Schofield PN, Adelmann C, Atkinson MJ et al (2008) Progress in updating the European radiobiology archives. Int J Radiat Biol 84:930–936CrossRefGoogle Scholar
  22. Walz A, Stuhler K, Wattenberg A, Hawranke E et al (2006) Proteome analysis of glandular parotid and submandibular-sublingual saliva in comparison to whole human saliva by two-dimensional gel electrophoresis. Proteomics 6:1631–1639CrossRefGoogle Scholar
  23. Zeng Q, Chen G, Weng Y, Wang L et al (2006) Effects of global system for mobile communications 1,800 MHz radiofrequency electromagnetic fields on gene and protein expression in MCF-7 cells. Proteomics 6:4732–4738CrossRefGoogle Scholar
  24. Zischka H, Larochette N, Hoffmann F, Hamoller D et al (2008) Electrophoretic analysis of the mitochondrial outer membrane rupture induced by permeability transition. Anal Chem 80:5051–5058CrossRefGoogle Scholar
  25. Zougman A, Ziolkowski P, Mann M, Wisniewski JR (2008) Evidence for insertional RNA editing in humans. Curr Biol 18:1760–1765CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Soile Tapio
    • 1
    Email author
  • Sabine Hornhardt
    • 2
  • Maria Gomolka
    • 2
  • Dariusz Leszczynski
    • 3
  • Anton Posch
    • 1
  • Stefan Thalhammer
    • 4
  • Michael J. Atkinson
    • 1
  1. 1.Helmholtz Zentrum München, German Research Center for Environmental HealthInstitute of Radiation BiologyOberschleißheimGermany
  2. 2.Department Radiation Protection and HealthFederal Office for Radiation ProtectionOberschleißheimGermany
  3. 3.Functional Proteomics Research GroupSTUK—Radiation and Nuclear Safety AuthorityHelsinkiFinland
  4. 4.Helmholtz Zentrum München, German Research Center for Environmental HealthInstitute of Radiation ProtectionOberschleißheimGermany

Personalised recommendations