Debey S, Schoenbeck U, Hellmich M, Gathof B S, Pillai R, Zander T, Schultze J L
Molecular Tumor Biology and Tumor Immunology, Center for Internal Medicine, University of Cologne, Cologne, Germany.
Pharmacogenomics J. 2004;4(3):193-207. doi: 10.1038/sj.tpj.6500240.
Owing to its clinical accessibility, peripheral blood is probably the best source for the assessment of differences or changes in gene expression associated with disease or drug response and therapy. Gene expression patterns in peripheral blood cells greatly depend on temporal and interindividual variations. However, technical aspects of blood sampling, isolation of cellular components, RNA isolation techniques and clinical aspects such as time to analysis and temperature during processing have been suggested to affect gene expression patterns. We therefore assessed gene expression patterns in peripheral blood from 29 healthy individuals by using Affymetrix microarrays. When RNA isolation was delayed for 20-24 h-a typical situation in clinical studies-gene signatures related to hypoxia were observed, and downregulation of genes associated with metabolism, cell cycle or apoptosis became dominant preventing the assessment of gene signatures of interindividual variation. Similarly, gene expression patterns were strongly dependent on choice of cell and RNA isolation and preparation techniques. We conclude that for large clinical studies, it is crucial to reduce maximally the time to RNA isolation. Furthermore, prior to study initiation, the cell type of interest should already be defined. Our data therefore will help to optimize clinical studies applying gene expression analysis of peripheral blood to exploit drug responses and to better understand changes associated with disease.
由于外周血在临床上易于获取,它可能是评估与疾病、药物反应及治疗相关的基因表达差异或变化的最佳来源。外周血细胞中的基因表达模式很大程度上取决于时间和个体间差异。然而,有研究表明,采血的技术环节、细胞成分的分离、RNA分离技术以及诸如分析时间和处理过程中的温度等临床因素都会影响基因表达模式。因此,我们使用Affymetrix微阵列评估了29名健康个体外周血中的基因表达模式。当RNA分离延迟20 - 24小时(临床研究中的典型情况)时,会观察到与缺氧相关的基因特征,并且与代谢、细胞周期或凋亡相关的基因下调占主导,这使得个体间差异的基因特征评估变得困难。同样,基因表达模式强烈依赖于细胞及RNA分离和制备技术的选择。我们得出结论,对于大型临床研究而言,最大程度减少RNA分离时间至关重要。此外,在研究开始前,就应明确感兴趣的细胞类型。因此,我们的数据将有助于优化应用外周血基因表达分析的临床研究,以探索药物反应并更好地理解与疾病相关的变化。