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Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer
- Source :
- Li, Y, Xu, X, Song, L, Hou, Y, Li, Z, Tsang, S, Li, F, McGee, 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, pp. 1-14 . https://doi.org/10.1186/2047-217X-1-12, GigaScience, Vol 1, Iss 1, p 12 (2012), GigaScience
- Publisher :
- Oxford University Press (OUP)
-
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.
- Subjects :
- Genetics
Bladder cancer
Somatic cell
Population genetics
Research
Cell
Clone (cell biology)
Health Informatics
Biology
medicine.disease
lcsh:Computer applications to medicine. Medical informatics
urologic and male genital diseases
Single-cell exome sequencing
Human genetics
Computer Science Applications
medicine.anatomical_structure
Tumor evolution
Single cell sequencing
medicine
lcsh:R858-859.7
Gene
Exome sequencing
Subjects
Details
- Language :
- English
- ISSN :
- 2047217X
- Volume :
- 1
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- GigaScience
- Accession number :
- edsair.doi.dedup.....d9a261e2f1bd3c5afd118d24e9f32b5e
- Full Text :
- https://doi.org/10.1186/2047-217x-1-12