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An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer

Overview of attention for article published in Nature Biotechnology, November 2009
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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16 patents
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1 Wikipedia page
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1 research highlight platform

Citations

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68 Dimensions

Readers on

mendeley
151 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
Title
An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer
Published in
Nature Biotechnology, November 2009
DOI 10.1038/nbt.1584
Pubmed ID
Authors

Xiao-Song Wang, John R Prensner, Guoan Chen, Qi Cao, Bo Han, Saravana M Dhanasekaran, Rakesh Ponnala, Xuhong Cao, Sooryanarayana Varambally, Dafydd G Thomas, Thomas J Giordano, David G Beer, Nallasivam Palanisamy, Maureen A Sartor, Gilbert S Omenn, Arul M Chinnaiyan

Abstract

Cancer genomes contain many aberrant gene fusions-a few that drive disease and many more that are nonspecific passengers. We developed an algorithm (the concept signature or 'ConSig' score) that nominates biologically important fusions from high-throughput data by assessing their association with 'molecular concepts' characteristic of cancer genes, including molecular interactions, pathways and functional annotations. Copy number data supported candidate fusions and suggested a breakpoint principle for intragenic copy number aberrations in fusion partners. By analyzing lung cancer transcriptome sequencing and genomic data, we identified a novel R3HDM2-NFE2 fusion in the H1792 cell line. Lung tissue microarrays revealed 2 of 76 lung cancer patients with genomic rearrangement at the NFE2 locus, suggesting recurrence. Knockdown of NFE2 decreased proliferation and invasion of H1792 cells. Together, these results present a systematic analysis of gene fusions in cancer and describe key characteristics that assist in new fusion discovery.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Canada 4 3%
Netherlands 2 1%
Norway 2 1%
Germany 2 1%
Sweden 1 <1%
Singapore 1 <1%
Hong Kong 1 <1%
Unknown 133 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 30%
Student > Ph. D. Student 39 26%
Professor > Associate Professor 20 13%
Student > Master 11 7%
Student > Doctoral Student 7 5%
Other 24 16%
Unknown 5 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 58%
Biochemistry, Genetics and Molecular Biology 25 17%
Medicine and Dentistry 16 11%
Computer Science 8 5%
Engineering 3 2%
Other 5 3%
Unknown 6 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 March 2024.
All research outputs
#2,264,885
of 22,660,862 outputs
Outputs from Nature Biotechnology
#2,950
of 8,193 outputs
Outputs of similar age
#7,769
of 94,380 outputs
Outputs of similar age from Nature Biotechnology
#19
of 44 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,193 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has gotten more attention than average, scoring higher than 63% 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 94,380 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 44 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 56% of its contemporaries.