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A map of mobile DNA insertions in the NCI-60 human cancer cell panel

Overview of attention for article published in Mobile DNA, October 2016
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
2 CiteULike
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Title
A map of mobile DNA insertions in the NCI-60 human cancer cell panel
Published in
Mobile DNA, October 2016
DOI 10.1186/s13100-016-0078-4
Pubmed ID
Authors

John G. Zampella, Nemanja Rodić, Wan Rou Yang, Cheng Ran Lisa Huang, Jane Welch, Veena P. Gnanakkan, Toby C. Cornish, Jef D. Boeke, Kathleen H. Burns

Abstract

The National Cancer Institute-60 (NCI-60) cell lines are among the most widely used models of human cancer. They provide a platform to integrate DNA sequence information, epigenetic data, RNA and protein expression, and pharmacologic susceptibilities in studies of cancer cell biology. Genome-wide studies of the complete panel have included exome sequencing, karyotyping, and copy number analyses but have not targeted repetitive sequences. Interspersed repeats derived from mobile DNAs are a significant source of heritable genetic variation, and insertions of active elements can occur somatically in malignancy. We used Transposon Insertion Profiling by microarray (TIP-chip) to map Long INterspersed Element-1 (LINE-1, L1) and Alu Short INterspersed Element (SINE) insertions in cancer genes in NCI-60 cells. We focused this discovery effort on annotated Cancer Gene Index loci. We catalogued a total of 749 and 2,100 loci corresponding to candidate LINE-1 and Alu insertion sites, respectively. As expected, these numbers encompass previously known insertions, polymorphisms shared in unrelated tumor cell lines, as well as unique, potentially tumor-specific insertions. We also conducted association analyses relating individual insertions to a variety of cellular phenotypes. These data provide a resource for investigators with interests in specific cancer gene loci or mobile element insertion effects more broadly. Our data underscore that significant genetic variation in cancer genomes is owed to LINE-1 and Alu retrotransposons. Our findings also indicate that as large numbers of cancer genomes become available, it will be possible to associate individual transposable element insertion variants with molecular and phenotypic features of these malignancies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Bachelor 5 14%
Researcher 5 14%
Professor > Associate Professor 4 11%
Student > Doctoral Student 3 8%
Other 8 22%
Unknown 3 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 49%
Agricultural and Biological Sciences 6 16%
Medicine and Dentistry 5 14%
Business, Management and Accounting 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 February 2024.
All research outputs
#4,274,179
of 25,271,884 outputs
Outputs from Mobile DNA
#109
of 361 outputs
Outputs of similar age
#65,475
of 319,926 outputs
Outputs of similar age from Mobile DNA
#2
of 7 outputs
Altmetric has tracked 25,271,884 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 361 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 70% 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 319,926 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 79% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.