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Discovery of biclonal origin and a novel oncogene SLC12A5 in colon cancer by single-cell sequencing

Overview of attention for article published in Cell Research, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
159 Mendeley
citeulike
3 CiteULike
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Title
Discovery of biclonal origin and a novel oncogene SLC12A5 in colon cancer by single-cell sequencing
Published in
Cell Research, April 2014
DOI 10.1038/cr.2014.43
Pubmed ID
Authors

Chang Yu, Jun Yu, Xiaotian Yao, William KK 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 JY Sung, Yingrui Li, Jun Wang

Abstract

Single-cell sequencing is a powerful tool for delineating clonal relationship and identifying key driver genes for personalized cancer management. Here we performed single-cell sequencing analysis of a case of colon cancer. Population genetics analyses identified two independent clones in tumor cell population. The major tumor clone harbored APC and TP53 mutations as early oncogenic events, whereas the minor clone contained preponderant CDC27 and PABPC1 mutations. The absence of APC and TP53 mutations in the minor clone supports that these two clones were derived from two cellular origins. Examination of somatic mutation allele frequency spectra of additional 21 whole-tissue exome-sequenced cases revealed the heterogeneity of clonal origins in colon cancer. Next, we identified a mutated gene SLC12A5 that showed a high frequency of mutation at the single-cell level but exhibited low prevalence at the population level. Functional characterization of mutant SLC12A5 revealed its potential oncogenic effect in colon cancer. Our 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
China 1 <1%
Czechia 1 <1%
Unknown 153 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 33%
Researcher 29 18%
Student > Master 13 8%
Student > Postgraduate 10 6%
Student > Doctoral Student 9 6%
Other 23 14%
Unknown 23 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 33%
Biochemistry, Genetics and Molecular Biology 43 27%
Medicine and Dentistry 19 12%
Computer Science 4 3%
Engineering 3 2%
Other 10 6%
Unknown 27 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2015.
All research outputs
#5,605,863
of 23,337,345 outputs
Outputs from Cell Research
#915
of 1,912 outputs
Outputs of similar age
#51,873
of 227,499 outputs
Outputs of similar age from Cell Research
#11
of 26 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,912 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 227,499 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.