Literature DB >> 31962043

EThcD and 213 nm UVPD for Top-Down Analysis of Bovine Seminal Plasma Proteoforms on Electrophoretic and Chromatographic Time Frames.

Fabio P Gomes1, Jolene K Diedrich1, Anthony J Saviola1, Erdogan Memili2, Arlindo A Moura3, John R Yates1.   

Abstract

Seminal plasma is a critical and complex fluid that carries sperm to eggs to initiate the fertilization process. Here, we present a top-down mass spectrometry (TDMS) strategy for identifying proteins and posttranslational modifications (PTMs) in bovine seminal plasma. In this study, proteins were separated using sheathless capillary zone electrophoresis (CZE)-MS and reversed-phase liquid chromatography (LC)-MS, and then fragmented using electron-transfer/higher-energy collisional dissociation (EThcD) and 213 nm ultraviolet photodissociation (213 nm UVPD) to provide more comprehensive information about the proteomic landscape of this biological fluid. Four hundred and seventeen proteoforms were identified by sheathless CZE-MS, and one hundred and seventy-two species were unique to this method. LC-MS identified 3090 proteoforms, including 1707 unique species. All identifications were within ±10 ppm (mass error) and with a P-Score ≤1 × 10-04. Pooling results (triplicate measurements) from sheathless CZE-MS and LC-MS resulted in the identification of 1433 proteoforms (EThcD) and 2151 proteoforms (213 nm UVPD) with 612 species unique for EThcD and 1021 for 213 nm UVPD. The average sequence coverage was found to be higher for EThcD (28%) than for 213 nm UVPD (23%). The use of sheathless CZE-MS and LC-MS with EThcD and 213 nm UVPD provided complementary protein profiling and proteoform data that were more comprehensive than those of either method alone.

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Year:  2020        PMID: 31962043     DOI: 10.1021/acs.analchem.9b03856

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


  6 in total

1.  Use of Multiple Ion Fragmentation Methods to Identify Protein Cross-Links and Facilitate Comparison of Data Interpretation Algorithms.

Authors:  Bingqing Zhao; Colin P Reilly; Caroline Davis; Andreas Matouschek; James P Reilly
Journal:  J Proteome Res       Date:  2020-06-04       Impact factor: 4.466

2.  Evaluation of Machine Learning Models for Proteoform Retention and Migration Time Prediction in Top-Down Mass Spectrometry.

Authors:  Wenrong Chen; Elijah N McCool; Liangliang Sun; Yong Zang; Xia Ning; Xiaowen Liu
Journal:  J Proteome Res       Date:  2022-05-26       Impact factor: 5.370

3.  Top-down proteomics: challenges, innovations, and applications in basic and clinical research.

Authors:  Kyle A Brown; Jake A Melby; David S Roberts; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2020-12-17       Impact factor: 3.940

Review 4.  Recent advances (2019-2021) of capillary electrophoresis-mass spectrometry for multilevel proteomics.

Authors:  Daoyang Chen; Elijah N McCool; Zhichang Yang; Xiaojing Shen; Rachele A Lubeckyj; Tian Xu; Qianjie Wang; Liangliang Sun
Journal:  Mass Spectrom Rev       Date:  2021-06-15       Impact factor: 10.946

5.  Tandem surface-induced dissociation of protein complexes on an ultrahigh resolution platform.

Authors:  Dalton T Snyder; Yu-Fu Lin; Arpad Somogyi; Vicki Wysocki
Journal:  Int J Mass Spectrom       Date:  2021-01-05       Impact factor: 1.986

Review 6.  Sperm Functional Genome Associated With Bull Fertility.

Authors:  Memmet Özbek; Mustafa Hitit; Abdullah Kaya; Frank Dean Jousan; Erdogan Memili
Journal:  Front Vet Sci       Date:  2021-06-22
  6 in total

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