Cargando…

Comparison of iTRAQ and SWATH in a clinical study with multiple time points

BACKGROUND: Advances in mass spectrometry have accelerated biomarker discovery in many areas of medicine. The purpose of this study was to compare two mass spectrometry (MS) methods, isobaric tags for relative and absolute quantitation (iTRAQ) and sequential window acquisition of all theoretical fra...

Descripción completa

Detalles Bibliográficos
Autores principales: Jylhä, Antti, Nättinen, Janika, Aapola, Ulla, Mikhailova, Alexandra, Nykter, Matti, Zhou, Lei, Beuerman, Roger, Uusitalo, Hannu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065059/
https://www.ncbi.nlm.nih.gov/pubmed/30069167
http://dx.doi.org/10.1186/s12014-018-9201-5
_version_ 1783342800480239616
author Jylhä, Antti
Nättinen, Janika
Aapola, Ulla
Mikhailova, Alexandra
Nykter, Matti
Zhou, Lei
Beuerman, Roger
Uusitalo, Hannu
author_facet Jylhä, Antti
Nättinen, Janika
Aapola, Ulla
Mikhailova, Alexandra
Nykter, Matti
Zhou, Lei
Beuerman, Roger
Uusitalo, Hannu
author_sort Jylhä, Antti
collection PubMed
description BACKGROUND: Advances in mass spectrometry have accelerated biomarker discovery in many areas of medicine. The purpose of this study was to compare two mass spectrometry (MS) methods, isobaric tags for relative and absolute quantitation (iTRAQ) and sequential window acquisition of all theoretical fragment ion spectra (SWATH), for analytical efficiency in biomarker discovery when there are multiple methodological constraints such as limited sample size and several time points for each patient to be analyzed. METHODS: A total of 140 tear samples were collected from 28 glaucoma patients at 5 time points in a glaucoma drug switch study. Samples were analyzed with iTRAQ and SWATH methods using NanoLC-MSTOF mass spectrometry. RESULTS: We discovered that even though iTRAQ is faster than SWATH with respect to analysis time per sample, it loses in sensitivity, reliability and robustness. While SWATH analysis yielded complete data of 456 proteins in all samples, with iTRAQ we were able to quantify 477 proteins in total but on average only 125 proteins were quantified in a sample. 283 proteins were common in the datasets produced by the two methods. Repeatability of the methods was assessed by calculating percent relative standard deviation (% RSD) between replicate MS analyses: SWATH was more repeatable (56% of proteins < 20% RSD), compared to iTRAQ (43% of proteins < 20% RSD). Despite the overall benefits of SWATH, both methods showed less than 1 log fold change difference in the expression of 74% common proteins. In addition, comparison to MS/MS peptide results using 8 isotopically labeled peptide standards, SWATH and iTRAQ showed similar results in terms of accuracy. Moreover, both methods detected similar trends in a longitudinal analysis of protein expression of two known tear biomarkers. CONCLUSIONS: Overall, we conclude that SWATH should be preferred for biomarker discovery studies when analyzing limited volumes of clinical samples collected at multiple time points. TRIAL REGISTERATION: The study was approved by the Ethics Committee at Tampere University Hospital and was registered in EU clinical trials register (EudraCT Number: 2010-021039-14). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-018-9201-5) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6065059
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60650592018-08-01 Comparison of iTRAQ and SWATH in a clinical study with multiple time points Jylhä, Antti Nättinen, Janika Aapola, Ulla Mikhailova, Alexandra Nykter, Matti Zhou, Lei Beuerman, Roger Uusitalo, Hannu Clin Proteomics Research BACKGROUND: Advances in mass spectrometry have accelerated biomarker discovery in many areas of medicine. The purpose of this study was to compare two mass spectrometry (MS) methods, isobaric tags for relative and absolute quantitation (iTRAQ) and sequential window acquisition of all theoretical fragment ion spectra (SWATH), for analytical efficiency in biomarker discovery when there are multiple methodological constraints such as limited sample size and several time points for each patient to be analyzed. METHODS: A total of 140 tear samples were collected from 28 glaucoma patients at 5 time points in a glaucoma drug switch study. Samples were analyzed with iTRAQ and SWATH methods using NanoLC-MSTOF mass spectrometry. RESULTS: We discovered that even though iTRAQ is faster than SWATH with respect to analysis time per sample, it loses in sensitivity, reliability and robustness. While SWATH analysis yielded complete data of 456 proteins in all samples, with iTRAQ we were able to quantify 477 proteins in total but on average only 125 proteins were quantified in a sample. 283 proteins were common in the datasets produced by the two methods. Repeatability of the methods was assessed by calculating percent relative standard deviation (% RSD) between replicate MS analyses: SWATH was more repeatable (56% of proteins < 20% RSD), compared to iTRAQ (43% of proteins < 20% RSD). Despite the overall benefits of SWATH, both methods showed less than 1 log fold change difference in the expression of 74% common proteins. In addition, comparison to MS/MS peptide results using 8 isotopically labeled peptide standards, SWATH and iTRAQ showed similar results in terms of accuracy. Moreover, both methods detected similar trends in a longitudinal analysis of protein expression of two known tear biomarkers. CONCLUSIONS: Overall, we conclude that SWATH should be preferred for biomarker discovery studies when analyzing limited volumes of clinical samples collected at multiple time points. TRIAL REGISTERATION: The study was approved by the Ethics Committee at Tampere University Hospital and was registered in EU clinical trials register (EudraCT Number: 2010-021039-14). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-018-9201-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-30 /pmc/articles/PMC6065059/ /pubmed/30069167 http://dx.doi.org/10.1186/s12014-018-9201-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Jylhä, Antti
Nättinen, Janika
Aapola, Ulla
Mikhailova, Alexandra
Nykter, Matti
Zhou, Lei
Beuerman, Roger
Uusitalo, Hannu
Comparison of iTRAQ and SWATH in a clinical study with multiple time points
title Comparison of iTRAQ and SWATH in a clinical study with multiple time points
title_full Comparison of iTRAQ and SWATH in a clinical study with multiple time points
title_fullStr Comparison of iTRAQ and SWATH in a clinical study with multiple time points
title_full_unstemmed Comparison of iTRAQ and SWATH in a clinical study with multiple time points
title_short Comparison of iTRAQ and SWATH in a clinical study with multiple time points
title_sort comparison of itraq and swath in a clinical study with multiple time points
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065059/
https://www.ncbi.nlm.nih.gov/pubmed/30069167
http://dx.doi.org/10.1186/s12014-018-9201-5
work_keys_str_mv AT jylhaantti comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT nattinenjanika comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT aapolaulla comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT mikhailovaalexandra comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT nyktermatti comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT zhoulei comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT beuermanroger comparisonofitraqandswathinaclinicalstudywithmultipletimepoints
AT uusitalohannu comparisonofitraqandswathinaclinicalstudywithmultipletimepoints