Literature DB >> 26549206

Chromosome-Based Proteomic Study for Identifying Novel Protein Variants from Human Hippocampal Tissue Using Customized neXtProt and GENCODE Databases.

Heeyoun Hwang1, Gun Wook Park1,2, Kwang Hoe Kim1,2, Ju Yeon Lee1, Hyun Kyoung Lee1,2, Eun Sun Ji1, Sung-Kyu Robin Park3, Tao Xu3, John R Yates3, Kyung-Hoon Kwon1, Young Mok Park4, Hyoung-Joo Lee5, Young-Ki Paik5, Jin Young Kim1, Jong Shin Yoo1,2.   

Abstract

The goal of the Chromosome-Centric Human Proteome Project (C-HPP) is to fully provide proteomic information from each human chromosome, including novel proteoforms, such as novel protein-coding variants expressed from noncoding genomic regions, alternative splicing variants (ASVs), and single amino acid variants (SAAVs). In the 144 LC/MS/MS raw files from human hippocampal tissues of control, epilepsy, and Alzheimer's disease, we identified the novel proteoforms with a workflow including integrated proteomic pipeline using three different search engines, MASCOT, SEQUEST, and MS-GF+. With a <1% false discovery rate (FDR) at the protein level, the 11 detected peptides mapped to four translated long noncoding RNA variants against the customized databases of GENCODE lncRNA, which also mapped to coding-proteins at different chromosomal sites. We also identified four novel ASVs against the customized databases of GENCODE transcript. The target peptides from the variants were validated by tandem MS fragmentation pattern from their corresponding synthetic peptides. Additionally, a total of 128 SAAVs paired with their wild-type peptides were identified with FDR <1% at the peptide level using a customized database from neXtProt including nonsynonymous single nucleotide polymorphism (nsSNP) information. Among these results, several novel variants related in neuro-degenerative disease were identified using the workflow that could be applicable to C-HPP studies. All raw files used in this study were deposited in ProteomeXchange (PXD000395).

Entities:  

Keywords:  C-HPP; alternative splice variants; hippocampus; novel proteoforms; single amino acid variants; translated lncRNA variants

Mesh:

Year:  2015        PMID: 26549206     DOI: 10.1021/acs.jproteome.5b00472

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


  2 in total

1.  Single Amino Acid Variant Profiles of Subpopulations in the MCF-7 Breast Cancer Cell Line.

Authors:  Zhijing Tan; Song Nie; Sean P McDermott; Max S Wicha; David M Lubman
Journal:  J Proteome Res       Date:  2017-01-20       Impact factor: 4.466

Review 2.  Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine.

Authors:  Kurt Boonen; Kristien Hens; Gerben Menschaert; Geert Baggerman; Dirk Valkenborg; Gokhan Ertaylan
Journal:  Genes (Basel)       Date:  2019-09-05       Impact factor: 4.096

  2 in total

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