UNASSIGNED: In recent years, proteomic data have contributed to genome annotation efforts, most notably in @entity1 and @entity19 , and spawned a field termed "proteogenomics". @entity375 , 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 @entity375 to identify novel protein-coding genes. Specific databases were generated, from intergenic regions of the genome, which were then queried with @entity15 / @entity15 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 a-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.

Proteogenomic Discovery of a Small, Novel Protein in XXXX Reveals a Strategy for the Detection of Unannotated Short Open Reading Frames.

@entity1 :: ('9606', 'Species') :: ['humans'] @entity375 :: ('4932', 'Species') :: ['yeast', 'Yeast'] @entity19 :: ('10090', 'Species') :: ['mice'] @entity15 :: ('MESH:D009103', 'Disease') :: ['MS']
@entity375 :: (4932,Species) :: ['Yeast']
