Abstract:
:In recent years, proteomic data have contributed to genome annotation efforts, most notably in humans and mice, and spawned a field termed "proteogenomics". Yeast, in contrast with higher eukaryotes, has a small genome, which has lent itself to simpler ORF prediction. Despite this, continual advances in mass spectrometry suggest that proteomics should be able to improve genome annotation even in this well-characterized species. Here we applied a proteogenomics workflow to yeast to identify novel protein-coding genes. Specific databases were generated, from intergenic regions of the genome, which were then queried with MS/MS data. This suggested the existence of several putative novel ORFs of <100 codons, one of which we chose to validate. Synthetic peptides, RNA-Seq analysis, and evidence of evolutionary conservation allowed for the unequivocal definition of a new protein of 78 amino acids encoded on chromosome X, which we dub YJR107C-A. It encodes a new type of domain, which ab initio modeling suggests as predominantly α-helical. We show that this gene is nonessential for growth; however, deletion increases sensitivity to osmotic stress. Finally, from the above discovery process, we discuss a generalizable strategy for the identification of short ORFs and small proteins, many of which are likely to be undiscovered.
journal_name
J Proteome Resjournal_title
Journal of proteome researchauthors
Yagoub D,Tay AP,Chen Z,Hamey JJ,Cai C,Chia SZ,Hart-Smith G,Wilkins MRdoi
10.1021/acs.jproteome.5b00734subject
Has Abstractpub_date
2015-12-04 00:00:00pages
5038-47issue
12eissn
1535-3893issn
1535-3907journal_volume
14pub_type
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