Cellular Relationships of Testicular Germ Cell Tumors Determined by Partial Canonical Correlation Analysis of Gene Expression Signatures

被引:0
作者
Yu, Tingting [1 ,2 ]
Toshimori, Akiko [3 ]
Xia Jinrong [4 ]
Saito, Shigeru [5 ,6 ]
Zhou, Xingrong [7 ]
Horimoto, Katsuhisa [5 ]
Fan, Zhining [1 ]
Shimizu, Kunio [3 ]
Zhou, Huarong [2 ]
机构
[1] Nanjing Med Univ, Affiliated Hosp 2, Nanjing, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Key Lab Syst Biol, Shanghai, Peoples R China
[3] Keio Univ, Sch Fundamental Sci & Technol, Tokyo, Japan
[4] Southeast Univ, Coll Med, Zhongda Hosp, Dept Gastroenterol, Nanjing, Jiangsu, Peoples R China
[5] AIST, CBRC, Tokyo, Japan
[6] INFOCOM Corp, Div Chem&Bio Informat, Tokyo, Japan
[7] Huazhong Univ Sci & Technol, Tongji Hosp, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Cellular relationship; gene expression; graphical model; histologic lineage model; partial canonical correlation analysis; testicular germ cell tumors; STEM-CELLS; PROFILES; CANCER; MICROARRAYS; NETWORK;
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We designed a procedure to explore cellular relationships from sets of characteristic genes in distinctive cell types, by using a partial canonical correlation analysis. The present procedure was then applied to the characteristic gene sets of seven subtypes of testicular germ cell tumors, reported previously. The cellular relationships were reconstructed well, and were consistent with the general histologic lineage model. New implications for the subtype differentiation were found. In particular, the correspondence between the inferred relationships and the functional characterizations of constituent genes suggested 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 facilitates the creation of a macroscopic view of the cellular relationships, by following the detection of characteristically expressed genes.
引用
收藏
页码:72 / 79
页数:8
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