Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer. / Li, Yingrui; Xu, Xun; Song, Luting; Hou, Yong; Li, Zesong; Tsang, Shirley; Li, Fuqiang; Im, Kate; Wu, Kui; Wu, Hanjie; Ye, Xiaofei; Li, Guibo; Wang, Linlin; Zhang, Bo; Liang, Jie; Xie, Wei; Wu, Renhua; Jiang, Hui; Liu, Xiao; Yu, Chang; Zheng, Hancheng; Jian, Min; Nie, Liping; Wan, Lei; Shi, Min; Sun, Xiaojuan; Tang, Aifa; Guo, Guangwu; Gui, Yaoting; Cai, Zhiming; Li, Jingxiang; Wang, Wen; Lu, Zuhong; Zhang, Xiuqing; Bolund, Lars; Kristiansen, Karsten; Wang, Jian; Yang, Huanming; Dean, Michael; Wang, Jun.

In: GigaScience, Vol. 1, No. 12, 2012.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Li, Y, Xu, X, Song, L, Hou, Y, Li, Z, Tsang, S, Li, F, Im, K, Wu, K, Wu, H, Ye, X, Li, G, Wang, L, Zhang, B, Liang, J, Xie, W, Wu, R, Jiang, H, Liu, X, Yu, C, Zheng, H, Jian, M, Nie, L, Wan, L, Shi, M, Sun, X, Tang, A, Guo, G, Gui, Y, Cai, Z, Li, J, Wang, W, Lu, Z, Zhang, X, Bolund, L, Kristiansen, K, Wang, J, Yang, H, Dean, M & Wang, J 2012, 'Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer', GigaScience, vol. 1, no. 12. https://doi.org/10.1186/2047-217X-1-12

APA

Li, Y., Xu, X., Song, L., Hou, Y., Li, Z., Tsang, S., Li, F., Im, K., Wu, K., Wu, H., Ye, X., Li, G., Wang, L., Zhang, B., Liang, J., Xie, W., Wu, R., Jiang, H., Liu, X., ... Wang, J. (2012). Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer. GigaScience, 1(12). https://doi.org/10.1186/2047-217X-1-12

Vancouver

Li Y, Xu X, Song L, Hou Y, Li Z, Tsang S et al. Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer. GigaScience. 2012;1(12). https://doi.org/10.1186/2047-217X-1-12

Author

Li, Yingrui ; Xu, Xun ; Song, Luting ; Hou, Yong ; Li, Zesong ; Tsang, Shirley ; Li, Fuqiang ; Im, Kate ; Wu, Kui ; Wu, Hanjie ; Ye, Xiaofei ; Li, Guibo ; Wang, Linlin ; Zhang, Bo ; Liang, Jie ; Xie, Wei ; Wu, Renhua ; Jiang, Hui ; Liu, Xiao ; Yu, Chang ; Zheng, Hancheng ; Jian, Min ; Nie, Liping ; Wan, Lei ; Shi, Min ; Sun, Xiaojuan ; Tang, Aifa ; Guo, Guangwu ; Gui, Yaoting ; Cai, Zhiming ; Li, Jingxiang ; Wang, Wen ; Lu, Zuhong ; Zhang, Xiuqing ; Bolund, Lars ; Kristiansen, Karsten ; Wang, Jian ; Yang, Huanming ; Dean, Michael ; Wang, Jun. / Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer. In: GigaScience. 2012 ; Vol. 1, No. 12.

Bibtex

@article{c401a2b481e44c7a95d8f7a825757e82,
title = "Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer",
abstract = "BACKGROUND:Cancers arise through an evolutionary process in which cell populations are subjected to selection; however, to date, the process of bladder cancer, which is one of the most common cancers in the world, remains unknown at a single-cell level.RESULTS:We carried out single-cell exome sequencing of 66 individual tumor cells from a muscle-invasive bladder transitional cell carcinoma (TCC). Analyses of the somatic mutant allele frequency spectrum and clonal structure revealed that the tumor cells were derived from a single ancestral cell, but that subsequent evolution occurred, leading to two distinct tumor cell subpopulations. By analyzing recurrently mutant genes in an additional cohort of 99 TCC tumors, we identified genes that might play roles in the maintenance of the ancestral clone and in the muscle-invasive capability of subclones of this bladder cancer, respectively.CONCLUSIONS: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.",
author = "Yingrui Li and Xun Xu and Luting Song and Yong Hou and Zesong Li and Shirley Tsang and Fuqiang Li and Kate Im and Kui Wu and Hanjie Wu and Xiaofei Ye and Guibo Li and Linlin Wang and Bo Zhang and Jie Liang and Wei Xie and Renhua Wu and Hui Jiang and Xiao Liu and Chang Yu and Hancheng Zheng and Min Jian and Liping Nie and Lei Wan and Min Shi and Xiaojuan Sun and Aifa Tang and Guangwu Guo and Yaoting Gui and Zhiming Cai and Jingxiang Li and Wen Wang and Zuhong Lu and Xiuqing Zhang and Lars Bolund and Karsten Kristiansen and Jian Wang and Huanming Yang and Michael Dean and Jun Wang",
year = "2012",
doi = "10.1186/2047-217X-1-12",
language = "English",
volume = "1",
journal = "GigaScience",
issn = "2047-217X",
publisher = "Oxford Academic",
number = "12",

}

RIS

TY - JOUR

T1 - Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer

AU - Li, Yingrui

AU - Xu, Xun

AU - Song, Luting

AU - Hou, Yong

AU - Li, Zesong

AU - Tsang, Shirley

AU - Li, Fuqiang

AU - Im, Kate

AU - Wu, Kui

AU - Wu, Hanjie

AU - Ye, Xiaofei

AU - Li, Guibo

AU - Wang, Linlin

AU - Zhang, Bo

AU - Liang, Jie

AU - Xie, Wei

AU - Wu, Renhua

AU - Jiang, Hui

AU - Liu, Xiao

AU - Yu, Chang

AU - Zheng, Hancheng

AU - Jian, Min

AU - Nie, Liping

AU - Wan, Lei

AU - Shi, Min

AU - Sun, Xiaojuan

AU - Tang, Aifa

AU - Guo, Guangwu

AU - Gui, Yaoting

AU - Cai, Zhiming

AU - Li, Jingxiang

AU - Wang, Wen

AU - Lu, Zuhong

AU - Zhang, Xiuqing

AU - Bolund, Lars

AU - Kristiansen, Karsten

AU - Wang, Jian

AU - Yang, Huanming

AU - Dean, Michael

AU - Wang, Jun

PY - 2012

Y1 - 2012

N2 - BACKGROUND:Cancers arise through an evolutionary process in which cell populations are subjected to selection; however, to date, the process of bladder cancer, which is one of the most common cancers in the world, remains unknown at a single-cell level.RESULTS:We carried out single-cell exome sequencing of 66 individual tumor cells from a muscle-invasive bladder transitional cell carcinoma (TCC). Analyses of the somatic mutant allele frequency spectrum and clonal structure revealed that the tumor cells were derived from a single ancestral cell, but that subsequent evolution occurred, leading to two distinct tumor cell subpopulations. By analyzing recurrently mutant genes in an additional cohort of 99 TCC tumors, we identified genes that might play roles in the maintenance of the ancestral clone and in the muscle-invasive capability of subclones of this bladder cancer, respectively.CONCLUSIONS: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.

AB - BACKGROUND:Cancers arise through an evolutionary process in which cell populations are subjected to selection; however, to date, the process of bladder cancer, which is one of the most common cancers in the world, remains unknown at a single-cell level.RESULTS:We carried out single-cell exome sequencing of 66 individual tumor cells from a muscle-invasive bladder transitional cell carcinoma (TCC). Analyses of the somatic mutant allele frequency spectrum and clonal structure revealed that the tumor cells were derived from a single ancestral cell, but that subsequent evolution occurred, leading to two distinct tumor cell subpopulations. By analyzing recurrently mutant genes in an additional cohort of 99 TCC tumors, we identified genes that might play roles in the maintenance of the ancestral clone and in the muscle-invasive capability of subclones of this bladder cancer, respectively.CONCLUSIONS: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.

U2 - 10.1186/2047-217X-1-12

DO - 10.1186/2047-217X-1-12

M3 - Journal article

C2 - 23587365

VL - 1

JO - GigaScience

JF - GigaScience

SN - 2047-217X

IS - 12

ER -

ID: 40906148