H
Hanjie Wu
Researcher at University of Technology, Sydney
Publications - 14
Citations - 1811
Hanjie Wu is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Single cell sequencing & Multiple displacement amplification. The author has an hindex of 9, co-authored 14 publications receiving 1599 citations. Previous affiliations of Hanjie Wu include South China University of Technology.
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Journal ArticleDOI
Single-cell exome sequencing reveals single-nucleotide mutation characteristics of a kidney tumor
Xun Xu,Yong Hou,Xuyang Yin,Li Bao,Aifa Tang,Luting Song,Fuqiang Li,Shirley Tsang,Kui Wu,Hanjie Wu,Weiming He,Liang Zeng,Manjie Xing,Renhua Wu,Hui Jiang,Xiao Liu,Dandan Cao,Guangwu Guo,Xueda Hu,Yaoting Gui,Zesong Li,Wenyue Xie,Xiaojuan Sun,Min Shi,Zhiming Cai,Zhiming Cai,Bin Wang,Meiming Zhong,Jingxiang Li,Zuhong Lu,Ning Gu,Xiuqing Zhang,Laurie Goodman,Lars Bolund,Jian Wang,Huanming Yang,Karsten Kristiansen,Michael Dean,Yingrui Li,Jun Wang +39 more
TL;DR: The pilot study demonstrates that ccRCC may be more genetically complex than previously thought and provides information that can lead to new ways to investigate individual tumors, with the aim of developing more effective cellular targeted therapies.
Journal ArticleDOI
Single-Cell Exome Sequencing and Monoclonal Evolution of a JAK2-Negative Myeloproliferative Neoplasm
Yong Hou,Luting Song,Ping Zhu,Bo Zhang,Ye Tao,Xun Xu,Fuqiang Li,Kui Wu,Jie Liang,Di Shao,Hanjie Wu,Xiaofei Ye,Chen Ye,Renhua Wu,Min Jian,Yan Chen,Wei Xie,Ruren Zhang,Lei Chen,Xin Liu,Xiaotian Yao,Hancheng Zheng,Chang Yu,Qibin Li,Zhuolin Gong,Mao Mao,Xu Yang,Lin Yang,Jingxiang Li,Wen Wang,Zuhong Lu,Ning Gu,Goodman Laurie,Lars Bolund,Karsten Kristiansen,Jian Wang,Huanming Yang,Yingrui Li,Xiuqing Zhang,Jun Wang +39 more
TL;DR: A method for analyzing the cancer genome at a single-cell nucleotide level is described and essential thrombocythemia-related candidate mutations such as SESN2 and NTRK1 are identified, which may be involved in neoplasm progression.
Journal ArticleDOI
Comparison of variations detection between whole-genome amplification methods used in single-cell resequencing
Yong Hou,Kui Wu,Xulian Shi,Fuqiang Li,Luting Song,Hanjie Wu,Michael Dean,Guibo Li,Shirley Tsang,Runze Jiang,Xiaolong Zhang,Bo Li,Geng Liu,Niharika Bedekar,Na Lu,Guoyun Xie,Liang Han,Liao Chang,Ting Wang,Jianghao Chen,Yingrui Li,Xiuqing Zhang,Huanming Yang,Huanming Yang,Xun Xu,Ling Wang,Jun Wang,Jun Wang +27 more
TL;DR: These findings provide a comprehensive comparison of variations detection performance using SCRS amplified by different WGA methods, and will guide researchers to determine which WGA method is best suited to individual experimental needs at single-cell level.
Journal ArticleDOI
Discovery of biclonal origin and a novel oncogene SLC12A5 in colon cancer by single-cell sequencing
Chang Yu,Jun Yu,Xiaotian Yao,William K.K. Wu,Youyong Lu,Senwei Tang,Xiangchun Li,Li Bao,Xiaoxing Li,Yong Hou,Renhua Wu,Min Jian,Ruoyan Chen,Fan Zhang,Lixia Xu,Fan Fan,Jun He,Qiaoyi Liang,Hongyi Wang,Xueda Hu,Minghui He,Xiang Zhang,Hancheng Zheng,Qibin Li,Hanjie Wu,Yan Chen,Xu Yang,Shida Zhu,Xun Xu,Huanming Yang,Jian Wang,Xiuqing Zhang,Joseph J.Y. Sung,Yingrui Li,Jun Wang +34 more
TL;DR: This study provides the first exome-wide evidence at single-cell level supporting that colon cancer could be of a biclonal origin, and suggests that low-prevalence mutations in a cohort may also play important protumorigenic roles at the individual level.
Journal ArticleDOI
Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer
Yingrui Li,Xun Xu,Luting Song,Yong Hou,Zesong Li,Shirley Tsang,Fuqiang Li,Kate McGee Im,Kui Wu,Hanjie Wu,Xiaofei Ye,Guibo Li,Wang Linlin,Bo Zhang,Jie Liang,Wei Xie,Renhua Wu,Hui Jiang,Xiao Liu,Chang Yu,Hancheng Zheng,Min Jian,Liping Nie,Wan Lei,Min Shi,Xiaojuan Sun,Aifa Tang,Guangwu Guo,Yaoting Gui,Zhiming Cai,Zhiming Cai,Jingxiang Li,Wen Wang,Zuhong Lu,Xiuqing Zhang,Lars Bolund,Karsten Kristiansen,Jian Wang,Huanming Yang,Michael Dean,Jun Wang +40 more
TL;DR: This work provides a new approach of investigating the genetic details of bladder tumoral changes at the single-cell level and a new method for assessing bladder cancer evolution at a cell-population level.