The inter-individual variability outperforms the intra-individual variability of differentially expressed proteins prior and post irradiation in lymphoblastoid cell lines

Arch Physiol Biochem. 2014 Dec;120(5):198-207. doi: 10.3109/13813455.2014.953548. Epub 2014 Sep 1.

Abstract

Context: Radio-sensitivity in normal tissue is characterized by heterogeneity throughout the population and the absence of pre-diagnostic biomarkers.

Objective: We conducted a proteomic approach to search for radiation characteristic protein regulation.

Materials and methods: Cell lines were 10 Gy irradiated and analysed by 2D-DIGE after 24 h. RESULTS were analysed intra- and inter-individually. The principal component analysis and hierarchical clustering was applied to all datasets.

Results: Differences in intra-individual spot abundance prior and post irradiation exactly show the separation of sample classes in two groups: sham-irradiated and irradiated. The inter-individual datasets clustered according to the cell line. The intra-individual differences on protein level after gamma-irradiation are very low, compared with the inter-individual differences among cell lines derived from the same tissue.

Conclusion: The application of 2-D DIGE may offer a realistic chance for a better molecular characterization of radio-sensitivity and for the discovery of candidate biomarkers.

Keywords: 2D-DIGE; biomarker; radiation; radio-sensitivity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • B-Lymphocytes / metabolism*
  • B-Lymphocytes / radiation effects*
  • Cell Line
  • Gamma Rays
  • Gene Expression Regulation / radiation effects*
  • Humans
  • Proteins / metabolism*
  • Proteomics*
  • Radiation Tolerance / radiation effects*
  • Time Factors
  • Two-Dimensional Difference Gel Electrophoresis

Substances

  • Proteins