TY - JOUR T1 - Newfound coding potential of transcripts unveils missing members of human protein communities JF - bioRxiv DO - 10.1101/2020.12.02.406710 SP - 2020.12.02.406710 AU - Sebastien Leblanc AU - Marie A Brunet AU - Jean-François Jacques AU - Amina M Lekehal AU - Andréa Duclos AU - Alexia Tremblay AU - Alexis Bruggeman-Gascon AU - Sondos Samandi AU - Mylène Brunelle AU - Alan A Cohen AU - Michelle S Scott AU - Xavier Roucou Y1 - 2021/01/01 UR - http://biorxiv.org/content/early/2021/03/11/2020.12.02.406710.abstract N2 - Recent proteogenomic approaches have led to the discovery that regions of the transcriptome previously annotated as non-coding regions (i.e. UTRs, open reading frames overlapping annotated coding sequences in a different reading frame, and non-coding RNAs) frequently encode proteins (termed alternative proteins). This suggests that previously identified protein-protein interaction networks are partially incomplete since alternative proteins are not present in conventional protein databases. Here we used the proteogenomic resource OpenProt and a combined spectrum- and peptide-centric analysis for the re-analysis of a high throughput human network proteomics dataset thereby revealing the presence of 280 alternative proteins in the network. We found 19 genes encoding both an annotated (reference) and an alternative protein interacting with each other. Of the 136 alternative proteins encoded by pseudogenes, 38 are direct interactors of reference proteins encoded by their respective parental gene. Finally, we experimentally validate several interactions involving alternative proteins. These data improve the blueprints of the human protein-protein interaction network and suggest functional roles for hundreds of alternative proteins.Competing Interest StatementThe authors have declared no competing interest. ER -