Literature DB >> 24144163

Understanding the role of proteolytic digestion on discovery and targeted proteomic measurements using liquid chromatography tandem mass spectrometry and design of experiments.

Philip L Loziuk1, Jack Wang, Quanzi Li, Ronald R Sederoff, Vincent L Chiang, David C Muddiman.   

Abstract

Workflows in bottom-up proteomics have traditionally implemented the use of proteolysis during sample preparation; enzymatic digestion is most commonly performed using trypsin. This results in the hydrolysis of peptide bonds forming tryptic peptides, which can then be subjected to LC-MS/MS analysis. While the structure, specificity, and kinetics of trypsin are well characterized, a lack of consensus and understanding has remained regarding fundamental parameters critical to obtaining optimal data from a proteomics experiment. These include the type of trypsin used, pH during digestion, incubation temperature as well as enzyme-to-substrate ratio. Through the use of design of experiments (DOE), we optimized these parameters, resulting in deeper proteome coverage and a greater dynamic range of measurement. The knowledge gained from optimization of a discovery-based proteomics experiment was applied to targeted LC-MS/MS experiments using protein cleavage-isotope dilution mass spectrometry for absolute quantification. We demonstrated the importance of these digest parameters with respect to our limit of detection as well as our ability to acquire more accurate quantitative measurements. Additionally, we were able to quantitatively account for peptide decay observed in previous studies, caused by nonspecific activity of trypsin. The tryptic digest optimization described here has eliminated this previously observed peptide decay as well as provided a greater understanding and standardization for a common but critical sample treatment used across the field of proteomics.

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Year:  2013        PMID: 24144163     DOI: 10.1021/pr4008442

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


  9 in total

1.  Establishing ion ratio thresholds based on absolute peak area for absolute protein quantification using protein cleavage isotope dilution mass spectrometry.

Authors:  Philip L Loziuk; Ronald R Sederoff; Vincent L Chiang; David C Muddiman
Journal:  Analyst       Date:  2014-11-07       Impact factor: 4.616

2.  N-linked glycosite profiling and use of Skyline as a platform for characterization and relative quantification of glycans in differentiating xylem of Populus trichocarpa.

Authors:  Philip L Loziuk; Elizabeth S Hecht; David C Muddiman
Journal:  Anal Bioanal Chem       Date:  2016-08-04       Impact factor: 4.142

Review 3.  Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments.

Authors:  Elizabeth S Hecht; Ann L Oberg; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2016-03-07       Impact factor: 3.109

4.  Chemometric optimization of trypsin digestion method applying infrared, microwave and ultrasound energies for determination of caseins and ovalbumin in wines.

Authors:  Jessy Pavón-Pérez; Karem Henriquez-Aedo; Ricardo Salazar; Miguel Herrero; Mario Aranda
Journal:  J Food Sci Technol       Date:  2020-09-18       Impact factor: 3.117

Review 5.  Maillard Proteomics: Opening New Pages.

Authors:  Alena Soboleva; Rico Schmidt; Maria Vikhnina; Tatiana Grishina; Andrej Frolov
Journal:  Int J Mol Sci       Date:  2017-12-12       Impact factor: 5.923

6.  Optimization of Synovial Fluid Collection and Processing for NMR Metabolomics and LC-MS/MS Proteomics.

Authors:  James R Anderson; Marie M Phelan; Luis M Rubio-Martinez; Matthew M Fitzgerald; Simon W Jones; Peter D Clegg; Mandy J Peffers
Journal:  J Proteome Res       Date:  2020-04-07       Impact factor: 4.466

7.  Nonspecific cleavages arising from reconstitution of trypsin under mildly acidic conditions.

Authors:  Ben Niu; Michael Martinelli Ii; Yang Jiao; Chunlei Wang; Mingyan Cao; Jihong Wang; Eric Meinke
Journal:  PLoS One       Date:  2020-07-28       Impact factor: 3.240

8.  PeptideManager: a peptide selection tool for targeted proteomic studies involving mixed samples from different species.

Authors:  Kevin Demeure; Elodie Duriez; Bruno Domon; Simone P Niclou
Journal:  Front Genet       Date:  2014-09-02       Impact factor: 4.599

9.  Peptide Selection for Accurate Targeted Protein Quantification via a Dimethylation High-Resolution Mass Spectrum Strategy with a Peptide Release Kinetic Model.

Authors:  Qi Chen; Yirong Jiang; Yiping Ren; Meirong Ying; Baiyi Lu
Journal:  ACS Omega       Date:  2020-02-18
  9 in total

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