AltORFev facilitates the prediction of alternative open reading frames in eukaryotic mRNAs

Motivation: Protein synthesis is not a straight forward process and one gene locus can produce many isoforms, for example, by starting mRNA translation from alternative start sites. altORF evaluator (altORFev) predicts alternative open reading frames within eukaryotic mRNA translated by a linear scanning mechanism and its modifications (leaky scanning and reinitiation). The program reveals the efficiently translated altORFs recognized by the majority of 40S ribosomal subunits landing on the 5′‐end of an mRNA. This information aids to reveal the functions of eukaryotic genes connected to synthesis of either unknown isoforms of annotated proteins or new unrelated polypeptides. Availability and Implementation: altORFev is available at http://www.bionet.nsc.ru/AUGWeb/and has been developed in Java 1.8 using the BioJava library; and the Vaadin framework to produce the web service. Contact: ak@bionet.nsc.ru

[1]  Andreas Prlic,et al.  Sequence analysis , 2003 .

[2]  Tamir Tuller,et al.  Estimation of ribosome profiling performance and reproducibility at various levels of resolution , 2016, Biology Direct.

[3]  J. Dopazo,et al.  Extensive Translatome Remodeling during ER Stress Response in Mammalian Cells , 2012, PloS one.

[4]  O. A. Volkova,et al.  Interrelations between the Nucleotide Context of Human Start AUG Codon, N-end Amino Acids of the Encoded Protein and Initiation of Translation , 2010, Journal of biomolecular structure & dynamics.

[5]  Nicholas T. Ingolia Ribosome Footprint Profiling of Translation throughout the Genome , 2016, Cell.

[6]  Yan Wang,et al.  RPFdb: a database for genome wide information of translated mRNA generated from ribosome profiling , 2015, Nucleic Acids Res..

[7]  Joseph A. Rothnagel,et al.  Emerging evidence for functional peptides encoded by short open reading frames , 2014, Nature Reviews Genetics.

[8]  Martin Vingron,et al.  Translational regulation shapes the molecular landscape of complex disease phenotypes , 2015, Nature Communications.

[9]  M. Kozak,et al.  Regulation of translation via mRNA structure in prokaryotes and eukaryotes. , 2005, Gene.

[10]  Andreas Prlic,et al.  BioJava: an open-source framework for bioinformatics in 2012 , 2012, Bioinform..

[11]  R. Jackson,et al.  The mechanism of eukaryotic translation initiation and principles of its regulation , 2010, Nature Reviews Molecular Cell Biology.

[12]  Audrey M. Michel,et al.  RiboGalaxy: A browser based platform for the alignment, analysis and visualization of ribosome profiling data , 2016, RNA biology.

[13]  V. Delcourt,et al.  Death of a dogma: eukaryotic mRNAs can code for more than one protein , 2015, Nucleic acids research.

[14]  Joseph A. Rothnagel,et al.  Emerging evidence for functional peptides encoded by short open reading frames , 2014, Nature Reviews Genetics.

[15]  Michael P Snyder,et al.  Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans , 2015, Genome research.

[16]  Rachel Legendre,et al.  RiboTools: a Galaxy toolbox for qualitative ribosome profiling analysis , 2015, Bioinform..

[17]  W. Van Criekinge,et al.  PROTEOFORMER: deep proteome coverage through ribosome profiling and MS integration , 2014, Nucleic acids research.