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Alternative Polyadenylation of Tumor Suppressor Genes in Small Intestinal Neuroendocrine Tumors

Overview of attention for article published in Frontiers in endocrinology, April 2014
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Title
Alternative Polyadenylation of Tumor Suppressor Genes in Small Intestinal Neuroendocrine Tumors
Published in
Frontiers in endocrinology, April 2014
DOI 10.3389/fendo.2014.00046
Pubmed ID
Authors

Anders Rehfeld, Mireya Plass, Kristina Døssing, Ulrich Knigge, Andreas Kjær, Anders Krogh, Lennart Friis-Hansen

Abstract

The tumorigenesis of small intestinal neuroendocrine tumors (SI-NETs) is poorly understood. Recent studies have associated alternative polyadenylation (APA) with proliferation, cell transformation, and cancer. Polyadenylation is the process in which the pre-messenger RNA is cleaved at a polyA site and a polyA tail is added. Genes with two or more polyA sites can undergo APA. This produces two or more distinct mRNA isoforms with different 3' untranslated regions. Additionally, APA can also produce mRNAs containing different 3'-terminal coding regions. Therefore, APA alters both the repertoire and the expression level of proteins. Here, we used high-throughput sequencing data to map polyA sites and characterize polyadenylation genome-wide in three SI-NETs and a reference sample. In the tumors, 16 genes showed significant changes of APA pattern, which lead to either the 3' truncation of mRNA coding regions or 3' untranslated regions. Among these, 11 genes had been previously associated with cancer, with 4 genes being known tumor suppressors: DCC, PDZD2, MAGI1, and DACT2. We validated the APA in three out of three cases with quantitative real-time-PCR. Our findings suggest that changes of APA pattern in these 16 genes could be involved in the tumorigenesis of SI-NETs. Furthermore, they also point to APA as a new target for both diagnostic and treatment of SI-NETs. The identified genes with APA specific to the SI-NETs could be further tested as diagnostic markers and drug targets for disease prevention and treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Researcher 5 17%
Professor > Associate Professor 4 14%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Biochemistry, Genetics and Molecular Biology 9 31%
Medicine and Dentistry 2 7%
Computer Science 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 April 2014.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Frontiers in endocrinology
#8,334
of 13,012 outputs
Outputs of similar age
#208,304
of 239,871 outputs
Outputs of similar age from Frontiers in endocrinology
#53
of 56 outputs
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