Proteomic and genomic modulations induced by γ-irradiation of human blood lymphocytes.

PURPOSE

Quantitative evaluation of early response proteins (ERPRO) and early response genes (ERG) following γ-irradiation of human lymphocytes; identification of specific proteins and genes as candidate biomarkers for the development of a novel biodosimeter.

MATERIALS AND METHODS

Human peripheral blood lymphocytes were exposed to clinically relevant doses (1, 2 and 4 Gy) of γ-radiation ex-vivo. Analyses of protein and gene expression modulation were conducted 2 h post-irradiation. Global modulations were monitored using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and DNA microarray analyses of the samples originating from one human donor. On the proteome level, both phosphorylated and non-phosphorylated proteins were considered. Proteins and genes of specific interest were further targeted using Western blot (WB) and real-time quantitative polymerase chain reaction (RT-qPCR) techniques, employing samples from several human donors (n=3).

RESULTS

A set of ERPRO and ERG showing significant alterations 2 h post-γ-irradiation have been identified in human lymphocytes. The most radiation responsive genes and proteins indicated alterations of cellular structure (ß-actin, talin-1 [TLN1], talin-2, zyxin-2), immune and defence reactions (major histocompatibility complex binding protein-2 [MBP2], interleukin-17E and interferon-γ), cell cycle control (cyclin-dependent kinase inhibitor-1A [CDKN1A], mouse double minute-2, annexin-A6 [ANXA6], growth arrest and DNA-damage-inducible protein-α [GADD45A], proliferating cell nuclear antigen [PCNA], dual specificity phosphatase-2 and 8 [DUSP8]) as well as detoxification processes (peroxin-1) and apoptosis (B-cell lymphoma-2 binding component-3 [BBC3]).

SUMMARY

The estimations of protein concentration modulation of TLN1 and CDKN1A, phosphorylation status of ANXA6 (dose range 0-2 Gy) and MBP2 as well as the alterations in the level of gene expressions of BBC3, DUSP8, GADD45A and PCNA appears to be of potential value for future biodosimetric applications.