Literature DB >> 23536960

High-confidence de novo peptide sequencing using positive charge derivatization and tandem MS spectra merging.

Mingrui An1, Xiao Zou, Qingsong Wang, Xuyang Zhao, Jing Wu, Li-Ming Xu, Hong-Yan Shen, Xueyuan Xiao, Dacheng He, Jianguo Ji.   

Abstract

De novo peptide sequencing holds great promise in discovering new protein sequences and modifications but has often been hindered by low success rate of mass spectra interpretation, mainly due to the diversity of fragment ion types and insufficient information for each ion series. Here, we describe a novel methodology that combines highly efficient on-tip charge derivatization and tandem MS spectra merging, which greatly boosts the performance of interpretation. TMPP-Ac-OSu (succinimidyloxycarbonylmethyl tris(2,4,6-trimethoxyphenyl)phosphonium bromide) was used to derivatize peptides at N-termini on tips to reduce mass spectra complexity. Then, a novel approach of spectra merging was adopted to combine the benefits of collision-induced dissociation (CID) and electron transfer dissociation (ETD) fragmentation. We applied this methodology to rat C6 glioma cells and the Cyprinus carpio and searched the resulting peptide sequences against the protein database. Then, we achieved thousands of high-confidence peptide sequences, a level that conventional de novo sequencing methods could not reach. Next, we identified dozens of novel peptide sequences by homology searching of sequences that were fully backbone covered but unmatched during the database search. Furthermore, we randomly chose 34 sequences discovered in rat C6 cells and verified them. Finally, we conclude that this novel methodology that combines on-tip positive charge derivatization and tandem MS spectra merging will greatly facilitate the discovery of novel proteins and the proteome analysis of nonmodel organisms.

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Year:  2013        PMID: 23536960     DOI: 10.1021/ac4001699

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  Comparison of an Optimized Ultracentrifugation Method versus Size-Exclusion Chromatography for Isolation of Exosomes from Human Serum.

Authors:  Mingrui An; Jing Wu; Jianhui Zhu; David M Lubman
Journal:  J Proteome Res       Date:  2018-09-19       Impact factor: 4.466

2.  Circulating Microvesicles from Pancreatic Cancer Accelerate the Migration and Proliferation of PANC-1 Cells.

Authors:  Mingrui An; Jianhui Zhu; Jing Wu; Kyle C Cuneo; David M Lubman
Journal:  J Proteome Res       Date:  2018-03-09       Impact factor: 4.466

3.  Quantitative Proteomic Analysis of Serum Exosomes from Patients with Locally Advanced Pancreatic Cancer Undergoing Chemoradiotherapy.

Authors:  Mingrui An; Ines Lohse; Zhijing Tan; Jianhui Zhu; Jing Wu; Himabindu Kurapati; Meredith A Morgan; Theodore S Lawrence; Kyle C Cuneo; David M Lubman
Journal:  J Proteome Res       Date:  2017-03-08       Impact factor: 4.466

4.  Comprehensive de Novo Peptide Sequencing from MS/MS Pairs Generated through Complementary Collision Induced Dissociation and 351 nm Ultraviolet Photodissociation.

Authors:  Andrew P Horton; Scott A Robotham; Joe R Cannon; Dustin D Holden; Edward M Marcotte; Jennifer S Brodbelt
Journal:  Anal Chem       Date:  2017-03-08       Impact factor: 6.986

5.  A novel method of high-purity extracellular vesicle enrichment from microliter-scale human serum for proteomic analysis.

Authors:  Xiaohui Ji; Sisi Huang; Jie Zhang; Terri F Bruce; Zhijing Tan; Donglin Wang; Jianhui Zhu; R Kenneth Marcus; David M Lubman
Journal:  Electrophoresis       Date:  2021-02       Impact factor: 3.535

6.  Rapid separation of blood plasma exosomes from low-density lipoproteins via a hydrophobic interaction chromatography method on a polyester capillary-channeled polymer fiber phase.

Authors:  Sisi Huang; Xiaohui Ji; Kaylan K Jackson; David M Lubman; Mary B Ard; Terri F Bruce; R Kenneth Marcus
Journal:  Anal Chim Acta       Date:  2021-04-29       Impact factor: 6.911

  6 in total

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