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Entropy Measures Quantify Global Splicing Disorders in Cancer

Overview of attention for article published in PLoS Computational Biology, March 2008
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1 X user
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2 patents
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86 Mendeley
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1 Connotea
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Article details
Title
Entropy Measures Quantify Global Splicing Disorders in Cancer
Published in
PLoS Computational Biology, March 2008
DOI 10.1371/journal.pcbi.1000011
Pubmed ID
Authors
Abstract

Most mammalian genes are able to express several splice variants in a phenomenon known as alternative splicing. Serious alterations of alternative splicing occur in cancer tissues, leading to expression of multiple aberrant splice forms. Most studies of alternative splicing defects have focused on the identification of cancer-specific splice variants as potential therapeutic targets. Here, we examine instead the bulk of non-specific transcript isoforms and analyze their level of disorder using a measure of uncertainty called Shannon's entropy. We compare isoform expression entropy in normal and cancer tissues from the same anatomical site for different classes of transcript variations: alternative splicing, polyadenylation, and transcription initiation. Whereas alternative initiation and polyadenylation show no significant gain or loss of entropy between normal and cancer tissues, alternative splicing shows highly significant entropy gains for 13 of the 27 cancers studied. This entropy gain is characterized by a flattening in the expression profile of normal isoforms and is correlated to the level of estimated cellular proliferation in the cancer tissue. Interestingly, the genes that present the highest entropy gain are enriched in splicing factors. We provide here the first quantitative estimate of splicing disruption in cancer. The expression of normal splice variants is widely and significantly disrupted in at least half of the cancers studied. We postulate that such splicing disorders may develop in part from splicing alteration in key splice factors, which in turn significantly impact multiple target genes.

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X Demographics

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Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 9%
United Kingdom 1 1%
France 1 1%
Germany 1 1%
Unknown 75 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 29%
Student > Ph. D. Student 20 23%
Professor > Associate Professor 8 9%
Student > Master 7 8%
Student > Doctoral Student 6 7%
Other 15 17%
Unknown 5 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 42 49%
Biochemistry, Genetics and Molecular Biology 23 27%
Computer Science 5 6%
Medicine and Dentistry 4 5%
Mathematics 2 2%
Other 4 5%
Unknown 6 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 May 2015.
All research outputs
#9,219,693
of 31,591,940 outputs
Outputs from PLoS Computational Biology
#5,183
of 9,934 outputs
Outputs of similar age
#42,412
of 121,870 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 45 outputs
Altmetric has tracked 31,591,940 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 9,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 121,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.