Literature DB >> 36267124

Analysis of nested alternate open reading frames and their encoded proteins.

Kommireddy Vasu1, Debjit Khan1, Iyappan Ramachandiran1, Daniel Blankenberg2, Paul L Fox1.   

Abstract

Transcriptional and post-transcriptional mechanisms diversify the proteome beyond gene number, while maintaining a sequence relationship between original and altered proteins. A new mechanism breaks this paradigm, generating novel proteins by translating alternative open reading frames (Alt-ORFs) within canonical host mRNAs. Uniquely, 'alt-proteins' lack sequence homology with host ORF-derived proteins. We show global amino acid frequencies, and consequent biochemical characteristics of Alt-ORFs nested within host ORFs (nAlt-ORFs), are genetically-driven, and predicted by summation of frequencies of hundreds of encompassing host codon-pairs. Analysis of 101 human nAlt-ORFs of length ≥150 codons confirms the theoretical predictions, revealing an extraordinarily high median isoelectric point (pI) of 11.68, due to anomalous charged amino acid levels. Also, nAlt-ORF proteins exhibit a >2-fold preference for reading frame 2 versus 3, predicted mitochondrial and nuclear localization, and elevated codon adaptation index indicative of natural selection. Our results provide a theoretical and conceptual framework for exploration of these largely unannotated, but potentially significant, alternative ORFs and their encoded proteins.
© The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

Entities:  

Year:  2022        PMID: 36267124      PMCID: PMC9580016          DOI: 10.1093/nargab/lqac076

Source DB:  PubMed          Journal:  NAR Genom Bioinform        ISSN: 2631-9268


  39 in total

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9.  Overlapping genes and the proteins they encode differ significantly in their sequence composition from non-overlapping genes.

Authors:  Angelo Pavesi; Alberto Vianelli; Nicola Chirico; Yiming Bao; Olga Blinkova; Robert Belshaw; Andrew Firth; David Karlin
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10.  OpenProt: a more comprehensive guide to explore eukaryotic coding potential and proteomes.

Authors:  Marie A Brunet; Mylène Brunelle; Jean-François Lucier; Vivian Delcourt; Maxime Levesque; Frédéric Grenier; Sondos Samandi; Sébastien Leblanc; Jean-David Aguilar; Pascal Dufour; Jean-Francois Jacques; Isabelle Fournier; Aida Ouangraoua; Michelle S Scott; François-Michel Boisvert; Xavier Roucou
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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