Kohlmann Alexander, Kipps Thomas J, Rassenti Laura Z, Downing James R, Shurtleff Sheila A, Mills Ken I, Gilkes Amanda F, Hofmann Wolf-Karsten, Basso Giuseppe, Dell'orto Marta Campo, Foà Robin, Chiaretti Sabina, De Vos John, Rauhut Sonja, Papenhausen Peter R, Hernández Jesus M, Lumbreras Eva, Yeoh Allen E, Koay Evelyn S, Li Rachel, Liu Wei-Min, Williams Paul M, Wieczorek Lothar, Haferlach Torsten
Roche Molecular Systems, Inc., Department of Genomics and Oncology, Pleasanton, CA, USA.
Br J Haematol. 2008 Sep;142(5):802-7. doi: 10.1111/j.1365-2141.2008.07261.x.
Gene expression profiling has the potential to enhance current methods for the diagnosis of haematological malignancies. Here, we present data on 204 analyses from an international standardization programme that was conducted in 11 laboratories as a prephase to the Microarray Innovations in LEukemia (MILE) study. Each laboratory prepared two cell line samples, together with three replicate leukaemia patient lysates in two distinct stages: (i) a 5-d course of protocol training, and (ii) independent proficiency testing. Unsupervised, supervised, and r(2) correlation analyses demonstrated that microarray analysis can be performed with remarkably high intra-laboratory reproducibility and with comparable quality and reliability.
基因表达谱分析有潜力改进当前血液系统恶性肿瘤的诊断方法。在此,我们展示了一项国际标准化项目的204次分析数据,该项目在11个实验室进行,作为白血病微阵列创新(MILE)研究的前期阶段。每个实验室在两个不同阶段制备了两个细胞系样本以及三份白血病患者裂解物复制品:(i)为期5天的方案培训,以及(ii)独立的能力验证测试。无监督、有监督和r(2)相关性分析表明,微阵列分析能够以极高的实验室内重现性以及相当的质量和可靠性进行。