Literature DB >> 26554900

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

Daniel Yagoub1, Aidan P Tay1, Zhiliang Chen1, Joshua J Hamey1, Curtis Cai1, Samantha Z Chia1, Gene Hart-Smith1, Marc R Wilkins1.   

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.

Entities:  

Keywords:  proteogenomics; small ORFs; small proteins; yeast

Mesh:

Substances:

Year:  2015        PMID: 26554900     DOI: 10.1021/acs.jproteome.5b00734

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  11 in total

1.  Proteogenomic Analysis and Discovery of Immune Antigens in Mycobacterium vaccae.

Authors:  Jianhua Zheng; Lihong Chen; Liguo Liu; Haifeng Li; Bo Liu; Dandan Zheng; Tao Liu; Jie Dong; Lilian Sun; Yafang Zhu; Jian Yang; Xiaobing Zhang; Qi Jin
Journal:  Mol Cell Proteomics       Date:  2017-07-21       Impact factor: 5.911

2.  Proteogenomic Annotation of Chinese Hamsters Reveals Extensive Novel Translation Events and Endogenous Retroviral Elements.

Authors:  Shangzhong Li; Seong Won Cha; Kelly Heffner; Deniz Baycin Hizal; Michael A Bowen; Raghothama Chaerkady; Robert N Cole; Vijay Tejwani; Prashant Kaushik; Michael Henry; Paula Meleady; Susan T Sharfstein; Michael J Betenbaugh; Vineet Bafna; Nathan E Lewis
Journal:  J Proteome Res       Date:  2019-05-08       Impact factor: 4.466

3.  Knockout of the Hmt1p Arginine Methyltransferase in Saccharomyces cerevisiae Leads to the Dysregulation of Phosphate-associated Genes and Processes.

Authors:  Samantha Z Chia; Yu-Wen Lai; Daniel Yagoub; Sophie Lev; Joshua J Hamey; Chi Nam Ignatius Pang; Desmarini Desmarini; Zhiliang Chen; Julianne T Djordjevic; Melissa A Erce; Gene Hart-Smith; Marc R Wilkins
Journal:  Mol Cell Proteomics       Date:  2018-09-11       Impact factor: 5.911

4.  Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes.

Authors:  T S Keshava Prasad; Ajeet Kumar Mohanty; Manish Kumar; Sreelakshmi K Sreenivasamurthy; Gourav Dey; Raja Sekhar Nirujogi; Sneha M Pinto; Anil K Madugundu; Arun H Patil; Jayshree Advani; Srikanth S Manda; Manoj Kumar Gupta; Sutopa B Dwivedi; Dhanashree S Kelkar; Brantley Hall; Xiaofang Jiang; Ashley Peery; Pavithra Rajagopalan; Soujanya D Yelamanchi; Hitendra S Solanki; Remya Raja; Gajanan J Sathe; Sandip Chavan; Renu Verma; Krishna M Patel; Ankit P Jain; Nazia Syed; Keshava K Datta; Aafaque Ahmed Khan; Manjunath Dammalli; Savita Jayaram; Aneesha Radhakrishnan; Christopher J Mitchell; Chan-Hyun Na; Nirbhay Kumar; Photini Sinnis; Igor V Sharakhov; Charles Wang; Harsha Gowda; Zhijian Tu; Ashwani Kumar; Akhilesh Pandey
Journal:  Genome Res       Date:  2016-11-15       Impact factor: 9.043

5.  Proteogenomics produces comprehensive and highly accurate protein-coding gene annotation in a complete genome assembly of Malassezia sympodialis.

Authors:  Yafeng Zhu; Pär G Engström; Christian Tellgren-Roth; Charles D Baudo; John C Kennell; Sheng Sun; R Blake Billmyre; Markus S Schröder; Anna Andersson; Tina Holm; Benjamin Sigurgeirsson; Guangxi Wu; Sundar Ram Sankaranarayanan; Rahul Siddharthan; Kaustuv Sanyal; Joakim Lundeberg; Björn Nystedt; Teun Boekhout; Thomas L Dawson; Joseph Heitman; Annika Scheynius; Janne Lehtiö
Journal:  Nucleic Acids Res       Date:  2017-03-17       Impact factor: 16.971

6.  An update on sORFs.org: a repository of small ORFs identified by ribosome profiling.

Authors:  Volodimir Olexiouk; Wim Van Criekinge; Gerben Menschaert
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

7.  Identification of Microprotein-Protein Interactions via APEX Tagging.

Authors:  Qian Chu; Annie Rathore; Jolene K Diedrich; Cynthia J Donaldson; John R Yates; Alan Saghatelian
Journal:  Biochemistry       Date:  2017-06-07       Impact factor: 3.162

8.  Probably less than one-tenth of the genes produce only the wild type protein without at least one additional protein isoform in some human cancer cell lines.

Authors:  Rui Yan; Ju Zhang; Lucas Zellmer; Lichan Chen; Di Wu; Siqi Liu; Ningzhi Xu; Joshua D Liao
Journal:  Oncotarget       Date:  2017-08-07

9.  Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets.

Authors:  Mariella Hurtado Silva; Iain J Berry; Natalie Strange; Steven P Djordjevic; Matthew P Padula
Journal:  Proteomes       Date:  2019-03-29

10.  New data and collaborations at the Saccharomyces Genome Database: updated reference genome, alleles, and the Alliance of Genome Resources.

Authors:  Stacia R Engel; Edith D Wong; Robert S Nash; Suzi Aleksander; Micheal Alexander; Eric Douglass; Kalpana Karra; Stuart R Miyasato; Matt Simison; Marek S Skrzypek; Shuai Weng; J Michael Cherry
Journal:  Genetics       Date:  2022-04-04       Impact factor: 4.402

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