Laboratory of Translational Medicine, Van Andel Research Institute, Grand Rapids, Michigan, United States of America.
PLoS One. 2013 Apr 4;8(4):e61088. doi: 10.1371/journal.pone.0061088. Print 2013.
Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq appeared more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas.
比较肿瘤学是一门发展中的研究学科,用于帮助我们理解人类肿瘤疾病。伴生犬是一种优选的动物肿瘤学模型,因为它们具有自发性肿瘤发生的特点,并且在病理生理学水平上与人类疾病相似。我们使用一组四个正常犬淋巴结和十个犬淋巴瘤细针抽吸物的配对 RNA 测序(RNA-Seq)/微阵列分析来识别技术之间的技术偏差和变异,并在生物学疾病途径上趋同。替代变量分析(SVA)提供了对 RNA-Seq/微阵列数据集的正式多变量分析。将 SVA 应用于数据可以使我们将变异分解为与转录物丰度相关的贡献、技术之间的差异以及每种技术内部的潜在变异。变异的一个重要且具有统计学意义的组成部分反映了转录物丰度,并且 RNA-Seq 似乎更敏感地检测到低水平表达的转录物。RNA-Seq 样本之间潜在的随机变异在性质上也与影响微阵列样本的变异不同。特别是,我们观察到 RNA-Seq 样本之间的变异反映了转录物 GC 含量。使用 SVA 进行无先验知识的平台独立变量分解代表了一种可推广的跨平台数据分析方法。我们使用每种技术在无疾病犬的正常淋巴结和患有 B 细胞淋巴瘤的一部分患病犬之间识别差异表达的基因。RNA-Seq 和微阵列数据集之间差异表达基因的重叠具有统计学意义。在生物学系统的上下文中分析重叠基因表明,B 细胞淋巴瘤活检中 PI3K 信号的表达和活性升高,与描述靶向该途径的药物在淋巴瘤中成功应用的文献一致。