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高通量荟萃分析和差异表达基因的验证作为电离辐射反应的潜在生物标志物。

High-throughput meta-analysis and validation of differentially expressed genes as potential biomarkers of ionizing radiation-response.

机构信息

National Atomic Energy Commission (CNEA), Bariloche Nuclear Medicine and Radiotherapy Integral Center - Institute of Nuclear Technologies for Health Foundation (INTECNUS); Laboratory of Radiobiology and Biodosimetry, S.C. de Bariloche, Argentina.

National Scientific and Technical Research Council (CONICET), Scientific Technical Center CONICET - North Patagonia, Patagonian Andean Institute of Biological and Geo-Environmental Technologies (IPATEC), S.C. de Bariloche, Argentina.

出版信息

Radiother Oncol. 2021 Jan;154:21-28. doi: 10.1016/j.radonc.2020.09.010. Epub 2020 Sep 12.

DOI:10.1016/j.radonc.2020.09.010
PMID:32931891
Abstract

BACKGROUND AND PURPOSE

The high-throughput analysis of gene expression in ionizing radiation (IR)-exposed human peripheral white blood cells (WBC) has emerged as a novel method for biodosimetry markers detection. We aimed to detect IR-exposure differential expressed genes (DEGs) as potential predictive biomarkers for biodosimetry and radioinduced-response.

MATERIALS AND METHODS

We performed a meta-analysis of raw data from public microarrays of ex vivo low linear energy transfer-irradiated human peripheral WBC. Functional enrichment and transcription factors (TF) detection from resulting DEGs were assessed. Six selected DEGs among studies were validated by qRT-PCR on mRNA from human peripheral blood samples from nine healthy human donors 24 h after ex vivo X-rays-irradiation.

RESULTS

We identified 275 DEGs after IR-exposure (parameters: |lfc| ≥ 0.7, q value <0.05), enriched in processes such as regulation after IR-exposure, DNA damage checkpoint, signal transduction by p53 and mitotic cell cycle checkpoint. Among these DEGs, DRAM1, NUDT15, PCNA, PLK2 and TIGAR were selected for qRT-PCR validation. Their expression levels significantly increased at 1-4 Gy respect to non-irradiated controls. Particularly, PCNA increased dose dependently. Curiously, TCF4 (Entrez Gene: 6925), detected as overrepresented TF in the radioinduced DEGs set, significantly decreased post-irradiation.

CONCLUSION

These six DEGs show potential to be proposed as candidates for IR-exposure biomarkers, considering their observed molecular radioinduced-response. Among them, TCF4, bioinformatically detected, was validated herein as an IR-responsive gene.

摘要

背景与目的

利用高通量分析技术对电离辐射(IR)暴露的人外周血白细胞(WBC)中的基因表达进行分析,已成为生物剂量学标志物检测的新方法。我们旨在检测IR 暴露差异表达基因(DEGs),作为生物剂量学和放射性反应的潜在预测生物标志物。

材料与方法

我们对来自体外低线性能量转移 IR 暴露的人外周 WBC 的公共微阵列原始数据进行了荟萃分析。从得到的 DEGs 中评估功能富集和转录因子(TF)检测。在体外 X 射线照射后 24 小时,从 9 名健康人类供体的人外周血样本中提取 mRNA,对 6 项研究中选定的 DEGs 进行 qRT-PCR 验证。

结果

我们在 IR 暴露后鉴定出 275 个 DEGs(参数:| lfc |≥0.7,q 值<0.05),富集于 IR 暴露后的调节、DNA 损伤检查点、p53 信号转导和有丝分裂细胞周期检查点等过程。在这些 DEGs 中,选择了 DRAM1、NUDT15、PCNA、PLK2 和 TIGAR 进行 qRT-PCR 验证。与未照射对照相比,它们的表达水平在 1-4Gy 时显著增加。特别是,PCNA 呈剂量依赖性增加。有趣的是,TCF4(Entrez Gene:6925)作为在放射性诱导的 DEGs 中过度表达的 TF 被检测到,在照射后显著降低。

结论

考虑到这些基因观察到的分子放射性反应,这六个 DEGs 显示出作为 IR 暴露生物标志物候选物的潜力。其中,TCF4 是通过生物信息学检测到的,本文验证了其作为 IR 响应基因的作用。

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