主页 文献库文献详情
PMID: 22385957 已发表 · ppublish 英语

Single-cell exome sequencing and monoclonal evolution of a JAK2-negative myeloproliferative neoplasm.

Cell ·第 148 卷 ·第 5 期 ·2012-04-20

Hou(Yong),Song(Luting),Zhu(Ping),Zhang(Bo),Tao(Ye),Xu(Xun),Li(Fuqiang),Wu(Kui),Liang(Jie),Shao(Di),Wu(Hanjie),Ye(Xiaofei),Ye(Chen),Wu(Renhua),Jian(Min),Chen(Yan),Xie(Wei),Zhang(Ruren),Chen(Lei),Liu(Xin),Yao(Xiaotian),Zheng(Hancheng),Yu(Chang),Li(Qibin),Gong(Zhuolin),Mao(Mao),Yang(Xu),Yang(Lin),Li(Jingxiang),Wang(Wen),Lu(Zuhong),Gu(Ning),Laurie(Goodman),Bolund(Lars),Kristiansen(Karsten),Wang(Jian),Yang(Huanming),Li(Yingrui),Zhang(Xiuqing),Wang(Jun)

摘要

Tumor heterogeneity presents a challenge for inferring clonal evolution and driver gene identification. Here, we describe a method for analyzing the cancer genome at a single-cell nucleotide level. To perform our analyses, we first devised and validated a high-throughput whole-genome single-cell sequencing method using two lymphoblastoid cell line single cells. We then carried out whole-exome single-cell sequencing of 90 cells from a JAK2-negative myeloproliferative neoplasm patient. The sequencing data from 58 cells passed our quality control criteria, and these data indicated that this neoplasm represented a monoclonal evolution. We further identified essential thrombocythemia (ET)-related candidate mutations such as SESN2 and NTRK1, which may be involved in neoplasm progression. This pilot study allowed the initial characterization of the disease-related genetic architecture at the single-cell nucleotide level. Further, we established a single-cell sequencing method that opens the way for detailed analyses of a variety of tumor types, including those with high genetic complex between patients.

文献信息
期刊
Cell
期刊简称
Cell
发表日期
2012-04-20
收录日期
2012-03-05
更新日期
2012-11-15
语言
英语
国家/地区
United States
NLM ID
0413066
分析服务
分析服务

联系地址

山东省济南市章丘区文博路2号

齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号

大学科技园北区F座4单元2楼

电话: 0531-88819269

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。


商务邮箱

E-mail: product@genelibs.com