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The Cancer Spliceome: Reprograming of Alternative Splicing in Cancer

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2018
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308 Mendeley
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Title
The Cancer Spliceome: Reprograming of Alternative Splicing in Cancer
Published in
Frontiers in Molecular Biosciences, September 2018
DOI 10.3389/fmolb.2018.00080
Pubmed ID
Authors

Ettaib El Marabti, Ihab Younis

Abstract

Alternative splicing allows for the expression of multiple RNA and protein isoforms from one gene, making it a major contributor to transcriptome and proteome diversification in eukaryotes. Advances in next generation sequencing technologies and genome-wide analyses have recently underscored the fact that the vast majority of multi-exon genes under normal physiology engage in alternative splicing in tissue-specific and developmental-specific manner. On the other hand, cancer cells exhibit remarkable transcriptome alterations partly by adopting cancer-specific splicing isoforms. These isoforms and their encoded proteins are not insignificant byproducts of the abnormal physiology of cancer cells, but either drivers of cancer progression or small but significant contributors to specific cancer hallmarks. Thus, it is paramount that the pathways that regulate alternative splicing in cancer, including the splicing factors that bind to pre-mRNAs and modulate spliceosome recruitment. In this review, we present a few distinct cases of alternative splicing in cancer, with an emphasis on their regulation as well as their contribution to cancer cell phenotype. Several categories of splicing aberrations are highlighted, including alterations in cancer-related genes that directly affect their pre-mRNA splicing, mutations in genes encoding splicing factors or core spliceosomal subunits, and the seemingly mutation-free disruptions in the balance of the expression of RNA-binding proteins, including components of both the major (U2-dependent) and minor (U12-dependent) spliceosomes. Given that the latter two classes cause global alterations in splicing that affect a wide range of genes, it remains a challenge to identify the ones that contribute to cancer progression. These challenges necessitate a systematic approach to decipher these aberrations and their impact on cancer. Ultimately, a sufficient understanding of splicing deregulation in cancer is predicted to pave the way for novel and innovative RNA-based therapies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 308 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 18%
Student > Master 42 14%
Researcher 39 13%
Student > Bachelor 29 9%
Student > Doctoral Student 15 5%
Other 38 12%
Unknown 91 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 121 39%
Agricultural and Biological Sciences 38 12%
Medicine and Dentistry 18 6%
Immunology and Microbiology 6 2%
Chemistry 6 2%
Other 21 7%
Unknown 98 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 September 2018.
All research outputs
#15,993,346
of 24,335,784 outputs
Outputs from Frontiers in Molecular Biosciences
#1,471
of 4,364 outputs
Outputs of similar age
#205,692
of 339,781 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#14
of 20 outputs
Altmetric has tracked 24,335,784 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,364 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% 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 339,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.