Literature DB >> 25529431

Quantitation of 47 human tear proteins using high resolution multiple reaction monitoring (HR-MRM) based-mass spectrometry.

Louis Tong1, Xi Yuan Zhou2, Antti Jylha3, Ulla Aapola3, Dan Ning Liu2, Siew Kwan Koh4, Dechao Tian5, Joanne Quah6, Hannu Uusitalo3, Roger W Beuerman7, Lei Zhou8.   

Abstract

Tear proteins are intimately related to the pathophysiology of the ocular surface. Many recent studies have demonstrated that the tear is an accessible fluid for studying eye diseases and biomarker discovery. This study describes a high resolution multiple reaction monitoring (HR-MRM) approach for developing assays for quantification of biologically important tear proteins. Human tear samples were collected from 1000 subjects with no eye complaints (411 male, 589 female, average age: 55.5±14.5years) after obtaining informed consent. Tear samples were collected using Schirmer's strips and pooled into a single global control sample. Quantification of proteins was carried out by selecting "signature" peptides derived by trypsin digestion. A 1-h nanoLC-MS/MS run was used to quantify the tear proteins in HR-MRM mode. Good reproducibility of signal intensity (using peak areas) was demonstrated for all 47 HR-MRM assays with an average coefficient of variation (CV%) of 4.82% (range: 1.52-10.30%). All assays showed consistent retention time with a CV of less than 0.80% (average: 0.57%). HR-MRM absolute quantitation of eight tear proteins was demonstrated using stable isotope-labeled peptides. BIOLOGICAL SIGNIFICANCE: In this study, we demonstrated for the first time the technique to quantify 47 human tear proteins in HR-MRM mode using approximately 1μl of human tear sample. These multiplexed HR-MRM-based assays show great promise of further development for biomarker validation in human tear samples. Both discovery-based and targeted quantitative proteomics can be achieved in a single quadrupole time-of-flight mass spectrometer platform (TripleTOF 5600 system).
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  High resolution MRM; Human tear proteins; Quantitative proteomics; Targeted proteomics; Tear proteomics

Mesh:

Substances:

Year:  2014        PMID: 25529431     DOI: 10.1016/j.jprot.2014.12.002

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  20 in total

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3.  Priorities and trends in the study of proteins in eye research, 1924-2014.

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Journal:  Proteomics Clin Appl       Date:  2015-09-16       Impact factor: 3.494

Review 4.  Conjunctival goblet cells: Ocular surface functions, disorders that affect them, and the potential for their regeneration.

Authors:  Shivalingappa K Swamynathan; Alan Wells
Journal:  Ocul Surf       Date:  2019-11-14       Impact factor: 5.033

Review 5.  The potential of tear proteomics for diagnosis and management of orbital inflammatory disorders including Graves' ophthalmopathy.

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Journal:  Exp Eye Res       Date:  2021-11-03       Impact factor: 3.467

Review 6.  Multiplex protein analysis for the study of glaucoma.

Authors:  Gülgün Tezel
Journal:  Expert Rev Proteomics       Date:  2021-10-29       Impact factor: 3.940

7.  HBFP: a new repository for human body fluid proteome.

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Journal:  Database (Oxford)       Date:  2021-10-13       Impact factor: 3.451

8.  The Glycoprotein 340's Scavenger Receptor Cysteine-Rich Domain Promotes Adhesion of Staphylococcus aureus and Pseudomonas aeruginosa to Contact Lens Polymers.

Authors:  Kwaku A Osei; Joshua L Mieher; Manisha Patel; Jason J Nichols; Champion Deivanayagam
Journal:  Infect Immun       Date:  2021-10-18       Impact factor: 3.609

9.  Clusterin from human clinical tear samples: Positive correlation between tear concentration and Schirmer strip test results.

Authors:  Valerie Yu; Dhruva Bhattacharya; Andrew Webster; Aditi Bauskar; Charles Flowers; Martin Heur; Shravan K Chintala; Tatsuo Itakura; Mark R Wilson; Joseph T Barr; Shinwu Jeong; Mingwu Wang; M Elizabeth Fini
Journal:  Ocul Surf       Date:  2018-08-02       Impact factor: 5.033

Review 10.  Psychiatric disorders biochemical pathways unraveled by human brain proteomics.

Authors:  Verônica M Saia-Cereda; Juliana S Cassoli; Daniel Martins-de-Souza; Juliana M Nascimento
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2016-07-04       Impact factor: 5.270

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