Evidence map›Paper›PMID 23587365›Full record

ArticleGigaScience2012

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 and 30 more

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 168 citations in OpenAlex.

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  15. Somatic variant calling from single-cell DNA sequencing data.Computational and structural biotechnology journal · 2022
    Review
  16. Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices.Journal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  17. Applications of Single-Cell DNA Sequencing.Annual review of genomics and human genetics · 2021
    Review
  18. Review
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

40 authors at 12 institutions in 3 countries.

Yingrui LiBGI-Shenzhen, Beishan Industrial Zone, Beishan Road, Yantian, Shenzhen, 518083, People's Republic of China. yanghm@genomics.cn.
Xun Xu
Luting Song
Yong Hou
Zesong Li
Shirley Tsang
Fuqiang Li
Kate McGee Im
Kui Wu
Hanjie Wu
Xiaofei Ye
Guibo Li
Linlin Wang
Bo Zhang
Jie Liang
Wei Xie
Renhua Wu
Hui Jiang
Xiao Liu
Chang Yu
Hancheng Zheng
Min Jian
Liping Nie
Lei Wan
Min Shi
Xiaojuan Sun
Aifa Tang
Guangwu Guo
Yaoting Gui
Zhiming Cai
Jingxiang Li
Wen Wang
Zuhong Lu
Xiuqing Zhang
Lars Bolund
Karsten Kristiansen
Jian Wang
Huanming Yang
Michael Dean
Jun Wang
BGI Group (China) · CNPeking University Shenzhen Hospital · CN3D Biomatrix (United States) · USNational Cancer Institute · USShenzhen University · CNState Key Laboratory of Digital Medical EngineeringKunming Institute of Zoology · CNLonggang Central Hospital · CNShenzhen Second People's Hospital · CNSoutheast University · CNUniversity of Chinese Academy of Sciences · CNUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancers 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.

resultsWe 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.

conclusionsThis 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.

Identifiers

PMID23587365
PMCPMC3626503
OpenAlexW2152684097

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.