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Modelling mutational landscapes of human cancers in vitro

Overview of attention for article published in Scientific Reports, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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1 blog
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2 X users

Citations

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86 Mendeley
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Title
Modelling mutational landscapes of human cancers in vitro
Published in
Scientific Reports, March 2014
DOI 10.1038/srep04482
Pubmed ID
Authors

Magali Olivier, Annette Weninger, Maude Ardin, Hana Huskova, Xavier Castells, Maxime P. Vallée, James McKay, Tatiana Nedelko, Karl-Rudolf Muehlbauer, Hiroyuki Marusawa, John Alexander, Lee Hazelwood, Graham Byrnes, Monica Hollstein, Jiri Zavadil

Abstract

Experimental models that recapitulate mutational landscapes of human cancers are needed to decipher the rapidly expanding data on human somatic mutations. We demonstrate that mutation patterns in immortalised cell lines derived from primary murine embryonic fibroblasts (MEFs) exposed in vitro to carcinogens recapitulate key features of mutational signatures observed in human cancers. In experiments with several cancer-causing agents we obtained high genome-wide concordance between human tumour mutation data and in vitro data with respect to predominant substitution types, strand bias and sequence context. Moreover, we found signature mutations in well-studied human cancer driver genes. To explore endogenous mutagenesis, we used MEFs ectopically expressing activation-induced cytidine deaminase (AID) and observed an excess of AID signature mutations in immortalised cell lines compared to their non-transgenic counterparts. MEF immortalisation is thus a simple and powerful strategy for modelling cancer mutation landscapes that facilitates the interpretation of human tumour genome-wide sequencing data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
India 1 1%
United Kingdom 1 1%
Ukraine 1 1%
Spain 1 1%
United States 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 27%
Student > Ph. D. Student 18 21%
Student > Bachelor 10 12%
Student > Master 10 12%
Student > Postgraduate 5 6%
Other 8 9%
Unknown 12 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 36%
Biochemistry, Genetics and Molecular Biology 21 24%
Medicine and Dentistry 13 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Engineering 2 2%
Other 4 5%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 April 2014.
All research outputs
#3,929,935
of 22,751,628 outputs
Outputs from Scientific Reports
#30,841
of 122,652 outputs
Outputs of similar age
#39,451
of 224,538 outputs
Outputs of similar age from Scientific Reports
#157
of 720 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 122,652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 74% 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 224,538 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 82% of its contemporaries.
We're also able to compare this research output to 720 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.