Intérêt des marqueurs sanguins dans la prédiction de la toxicité radio-induite

Lacombe, Jérôme; Solassol, Jérôme; Coelho, M.; Ozşahin, Mahmut; Azria, D.

doi:10.1016/j.canrad.2011.02.006

Cited by 1 publication

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Proteomic studies are important for uncovering the complex biological pathways and molecular networks related to physiological or pathological status or environmental stresses, including ionizing radiation. Interest in proteomic investigations of radiation biology is increasing [ 13 ] following the broad application of genomic technology and bioinformatics to studies of the effects of radiation, including dose and dose-rate effects [ 14 , 15 ], differential end points of cancer and normal tissue [ 16 – 20 ], individual radiation sensitivity, and biomarker identification [ 20 , 21 ] for radiation biodosimeters or risk assessment. A comprehensive combination of comparative proteomics and advanced bioinformatics would provide valuable insights into the complex biological networks that are influenced by radiation exposure [ 13 , 22 – 24 ].…”

Section: Introductionmentioning

confidence: 99%

Proteomic Analysis Implicates Dominant Alterations of RNA Metabolism and the Proteasome Pathway in the Cellular Response to Carbon-Ion Irradiation

et al. 2016

View full text Add to dashboard Cite

Radiotherapy with heavy ions is considered advantageous compared to irradiation with photons due to the characteristics of the Braggs peak and the high linear energy transfer (LET) value. To understand the mechanisms of cellular responses to different LET values and dosages of heavy ion radiation, we analyzed the proteomic profiles of mouse embryo fibroblast MEF cells exposed to two doses from different LET values of heavy ion 12C. Total proteins were extracted from these cells and examined by Q Exactive with Liquid Chromatography (LC)—Electrospray Ionization (ESI) Tandem MS (MS/MS). Using bioinformatics approaches, differentially expressed proteins with 1.5 or 2.0-fold changes between different dosages of exposure were compared. With the higher the dosage and/or LET of ion irradiation, the worse response the cells were in terms of protein expression. For instance, compared to the control (0 Gy), 771 (20.2%) proteins in cells irradiated at 0.2 Gy of carbon-ion radiation with 12.6 keV/μm, 313 proteins (8.2%) in cells irradiated at 2 Gy of carbon-ion radiation with 12.6 keV/μm, and 243 proteins (6.4%) in cells irradiated at 2 Gy of carbon-ion radiation with 31.5 keV/μm exhibited changes of 1.5-fold or greater. Gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Munich Information Center for Protein Sequences (MIPS) analysis, and BioCarta analysis all indicated that RNA metabolic processes (RNA splicing, destabilization and deadenylation) and proteasome pathways may play key roles in the cellular response to heavy-ion irradiation. Proteasome pathways ranked highest among all biological processes associated with heavy carbon-ion irradiation. In addition, network analysis revealed that cellular pathways involving proteins such as Col1a1 and Fn1 continued to respond to high dosages of heavy-ion irradiation, suggesting that these pathways still protect cells against damage. However, pathways such as those involving Ikbkg1 responded better at lower dosages than at higher dosages, implying that cell damage would occur when the networks involving these proteins stop responding. Our investigation provides valuable proteomic information for elucidating the mechanism of biological effects induced by carbon ions in general.

show abstract