Literature DB >> 33336281

Shotgun Proteomics and Mass Spectrometry as a Tool for Protein Identification and Profiling of Bio-Carrier-Based Therapeutics on Human Cancer Cells.

Syafiq Asnawi Zainal Abidin1, Iekhsan Othman1, Rakesh Naidu2.   

Abstract

Shotgun proteomics has been widely applied to study proteins in complex biological samples. Combination of high-performance liquid chromatography with mass spectrometry has allowed for comprehensive protein analysis with high resolution, sensitivity, and mass accuracy. Prior to mass spectrometry analysis, proteins are extracted from biological samples and subjected to in-solution trypsin digestion. The digested proteins are subjected for clean-up and injected into the liquid chromatography-mass spectrometry system for peptide mass identification. Protein identification is performed by analyzing the mass spectrometry data on a protein search engine software such as PEAKS studio loaded with protein database for the species of interest. Results such as protein score, protein coverage, number of peptides, and unique peptides identified will be obtained and can be used to determine proteins identified with high confidence. This method can be applied to understand the proteomic changes or profile brought by bio-carrier-based therapeutics in vitro. In this chapter, we describe methods in which proteins can be extracted for proteomic analysis using a shotgun approach. The chapter outlines important in vitro techniques and data analysis that can be applied to investigate the proteome dynamics.

Entities:  

Keywords:  Bio-carrier vectors; Protein identification; Protein profiling; Shotgun proteomics

Year:  2021        PMID: 33336281     DOI: 10.1007/978-1-0716-0943-9_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis.

Authors:  Ileana R León; Veit Schwämmle; Ole N Jensen; Richard R Sprenger
Journal:  Mol Cell Proteomics       Date:  2013-06-21       Impact factor: 5.911

2.  An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

Authors:  J K Eng; A L McCormack; J R Yates
Journal:  J Am Soc Mass Spectrom       Date:  1994-11       Impact factor: 3.109

Review 3.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

4.  Mapping intact protein isoforms in discovery mode using top-down proteomics.

Authors:  John C Tran; Leonid Zamdborg; Dorothy R Ahlf; Ji Eun Lee; Adam D Catherman; Kenneth R Durbin; Jeremiah D Tipton; Adaikkalam Vellaichamy; John F Kellie; Mingxi Li; Cong Wu; Steve M M Sweet; Bryan P Early; Nertila Siuti; Richard D LeDuc; Philip D Compton; Paul M Thomas; Neil L Kelleher
Journal:  Nature       Date:  2011-10-30       Impact factor: 49.962

5.  PEAKS DB: de novo sequencing assisted database search for sensitive and accurate peptide identification.

Authors:  Jing Zhang; Lei Xin; Baozhen Shan; Weiwu Chen; Mingjie Xie; Denis Yuen; Weiming Zhang; Zefeng Zhang; Gilles A Lajoie; Bin Ma
Journal:  Mol Cell Proteomics       Date:  2011-12-20       Impact factor: 5.911

  5 in total

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