Exploration of Cellular Relationships from Characteristically Expressed Genes by Partial Canonical Correlation Analysis

A. Toshimori, K. Shimizu, Tingting Yu, Zhining Fan, Xinrong Zhou, Shigeru Saito, K. Horimoto, Jinrong Xia, Huarong Zhou
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Abstract

In this report, we designed a procedure for exploring the cellular relationships from the sets of characteristic genes in distinctive cell types, by using partial canonical correlation analysis. We applied the present procedure to the characteristic gene sets of seven subtypes of testicular germ cell tumors in a previous report. The cellular relationships were well reconstructed, consistent with the general histologic lineage model, and new implications for the subtype differentiation were found. In particular, the correspondence between the inferred relationships and the functional characterizations of constituent genes suggests a hypothesis for the classification between seminoma and embryonal carcinoma. The partial canonical correlation analysis is also appropriate for revealing new features of cellular relationships, based on the transcriptional programs. Thus, the present procedure helps to create a macroscopic view of the cellular relationships, by following the detection of the characteristically expressed genes.
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用偏典型相关分析从特征性表达基因探索细胞关系
在本报告中,我们设计了一个程序,通过使用部分典型相关分析,从不同细胞类型的特征基因集探索细胞关系。在以前的报道中,我们将目前的程序应用于睾丸生殖细胞肿瘤的七个亚型的特征基因集。细胞关系得到很好的重建,与一般的组织学谱系模型一致,并发现了亚型分化的新意义。特别地,推测的关系和组成基因的功能特征之间的对应关系为精原细胞瘤和胚胎癌的分类提供了一种假设。部分典型相关分析也适用于揭示基于转录程序的细胞关系的新特征。因此,本程序通过跟踪特征表达基因的检测,有助于创建细胞关系的宏观视图。
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