作者
Wenqian Zhang, Ying Yu, Falk Hertwig, Jean Thierry-Mieg, Wenwei Zhang, Danielle Thierry-Mieg, Jian Wang, Cesare Furlanello, Viswanath Devanarayan, Jie Cheng, Youping Deng, Barbara Hero, Huixiao Hong, Meiwen Jia, Li Li, Simon M Lin, Yuri Nikolsky, André Oberthuer, Tao Qing, Zhenqiang Su, Ruth Volland, Charles Wang, May D Wang, Junmei Ai, Davide Albanese, Shahab Asgharzadeh, Smadar Avigad, Wenjun Bao, Marina Bessarabova, Murray H Brilliant, Benedikt Brors, Marco Chierici, Tzu-Ming Chu, Jibin Zhang, Richard G Grundy, Min Max He, Scott Hebbring, Howard L Kaufman, Samir Lababidi, Lee J Lancashire, Yan Li, Xin X Lu, Heng Luo, Xiwen Ma, Baitang Ning, Rosa Noguera, Martin Peifer, John H Phan, Frederik Roels, Carolina Rosswog, Susan Shao, Jie Shen, Jessica Theissen, Gian Paolo Tonini, Jo Vandesompele, Po-Yen Wu, Wenzhong Xiao, Joshua Xu, Weihong Xu, Jiekun Xuan, Yong Yang, Zhan Ye, Zirui Dong, Ke K Zhang, Ye Yin, Chen Zhao, Yuanting Zheng, Russell D Wolfinger, Tieliu Shi, Linda H Malkas, Frank Berthold, Jun Wang, Weida Tong, Leming Shi, Zhiyu Peng, Matthias Fischer
发表日期
2015/12
期刊
Genome biology
卷号
16
页码范围
1-12
出版商
BioMed Central
简介
Background
Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond the limitations of microarrays, we sought to systematically evaluate the performance of RNA-seq-based and microarray-based classifiers in this MAQC-III/SEQC study for clinical endpoint prediction using neuroblastoma as a model.
Results
We generate gene expression profiles from 498 primary neuroblastomas using both RNA-seq and 44 k microarrays. Characterization of the neuroblastoma transcriptome by RNA-seq reveals that more than 48,000 genes and 200,000 transcripts are being expressed in this malignancy. We also find that RNA-seq provides much more detailed information on specific transcript expression patterns in …
引用总数
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