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Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage
Mass spectrometry-based proteomics using isobaric labeling for multiplex quantitation has become a popular approach for proteomic studies. We present Multi-Q 2, an isobaric-labeling quantitation tool which can yield the largest quantitation coverage and improved quantitation accuracy compared to thr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838301/ https://www.ncbi.nlm.nih.gov/pubmed/33500498 http://dx.doi.org/10.1038/s41598-021-81740-4 |
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author | Chen, Ching-Tai Wang, Jen-Hung Cheng, Cheng-Wei Hsu, Wei-Che Ko, Chu-Ling Choong, Wai-Kok Sung, Ting-Yi |
author_facet | Chen, Ching-Tai Wang, Jen-Hung Cheng, Cheng-Wei Hsu, Wei-Che Ko, Chu-Ling Choong, Wai-Kok Sung, Ting-Yi |
author_sort | Chen, Ching-Tai |
collection | PubMed |
description | Mass spectrometry-based proteomics using isobaric labeling for multiplex quantitation has become a popular approach for proteomic studies. We present Multi-Q 2, an isobaric-labeling quantitation tool which can yield the largest quantitation coverage and improved quantitation accuracy compared to three state-of-the-art methods. Multi-Q 2 supports identification results from several popular proteomic data analysis platforms for quantitation, offering up to 12% improvement in quantitation coverage for accepting identification results from multiple search engines when compared with MaxQuant and PatternLab. It is equipped with various quantitation algorithms, including a ratio compression correction algorithm, and results in up to 336 algorithmic combinations. Systematic evaluation shows different algorithmic combinations have different strengths and are suitable for different situations. We also demonstrate that the flexibility of Multi-Q 2 in customizing algorithmic combination can lead to improved quantitation accuracy over existing tools. Moreover, the use of complementary algorithmic combinations can be an effective strategy to enhance sensitivity when searching for biomarkers from differentially expressed proteins in proteomic experiments. Multi-Q 2 provides interactive graphical interfaces to process quantitation and to display ratios at protein, peptide, and spectrum levels. It also supports a heatmap module, enabling users to cluster proteins based on their abundance ratios and to visualize the clustering results. Multi-Q 2 executable files, sample data sets, and user manual are freely available at http://ms.iis.sinica.edu.tw/COmics/Software_Multi-Q2.html. |
format | Online Article Text |
id | pubmed-7838301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78383012021-01-27 Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage Chen, Ching-Tai Wang, Jen-Hung Cheng, Cheng-Wei Hsu, Wei-Che Ko, Chu-Ling Choong, Wai-Kok Sung, Ting-Yi Sci Rep Article Mass spectrometry-based proteomics using isobaric labeling for multiplex quantitation has become a popular approach for proteomic studies. We present Multi-Q 2, an isobaric-labeling quantitation tool which can yield the largest quantitation coverage and improved quantitation accuracy compared to three state-of-the-art methods. Multi-Q 2 supports identification results from several popular proteomic data analysis platforms for quantitation, offering up to 12% improvement in quantitation coverage for accepting identification results from multiple search engines when compared with MaxQuant and PatternLab. It is equipped with various quantitation algorithms, including a ratio compression correction algorithm, and results in up to 336 algorithmic combinations. Systematic evaluation shows different algorithmic combinations have different strengths and are suitable for different situations. We also demonstrate that the flexibility of Multi-Q 2 in customizing algorithmic combination can lead to improved quantitation accuracy over existing tools. Moreover, the use of complementary algorithmic combinations can be an effective strategy to enhance sensitivity when searching for biomarkers from differentially expressed proteins in proteomic experiments. Multi-Q 2 provides interactive graphical interfaces to process quantitation and to display ratios at protein, peptide, and spectrum levels. It also supports a heatmap module, enabling users to cluster proteins based on their abundance ratios and to visualize the clustering results. Multi-Q 2 executable files, sample data sets, and user manual are freely available at http://ms.iis.sinica.edu.tw/COmics/Software_Multi-Q2.html. Nature Publishing Group UK 2021-01-26 /pmc/articles/PMC7838301/ /pubmed/33500498 http://dx.doi.org/10.1038/s41598-021-81740-4 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Ching-Tai Wang, Jen-Hung Cheng, Cheng-Wei Hsu, Wei-Che Ko, Chu-Ling Choong, Wai-Kok Sung, Ting-Yi Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
title | Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
title_full | Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
title_fullStr | Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
title_full_unstemmed | Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
title_short | Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
title_sort | multi-q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838301/ https://www.ncbi.nlm.nih.gov/pubmed/33500498 http://dx.doi.org/10.1038/s41598-021-81740-4 |
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