標題: NMD Classifier: A reliable and systematic classification tool for nonsense-mediated decay events
作者: Hsu, Min-Kung
Lin, Hsuan-Yu
Chen, Feng-Chi
生物科技學系
Department of Biological Science and Technology
公開日期: 3-四月-2017
摘要: Nonsense-mediated decay (NMD) degrades mRNAs that include premature termination codons to avoid the translation and accumulation of truncated proteins. This mechanism has been found to participate in gene regulation and a wide spectrum of biological processes. However, the evolutionary and regulatory origins of NMD-targeted transcripts (NMDTs) have been less studied, partly because of the complexity in analyzing NMD events. Here we report NMD Classifier, a tool for systematic classification of NMD events for either annotated or de novo assembled transcripts. This tool is based on the assumption of minimal evolution/regulation-an event that leads to the least change is the most likely to occur. Our simulation results indicate that NMD Classifier can correctly identify an average of 99.3% of the NMD-causing transcript structural changes, particularly exon inclusions/exclusions and exon boundary alterations. Researchers can apply NMD Classifier to evolutionary and regulatory studies by comparing NMD events of different biological conditions or in different organisms.
URI: http://dx.doi.org/10.1371/journal.pone.0174798
http://hdl.handle.net/11536/145370
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0174798
期刊: PLOS ONE
Volume: 12
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