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freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis

Study of complex proteome brings forward higher request for the quantification method using mass spectrometry technology. In this paper, we present a mass spectrometry label-free quantification tool for complex proteomes, called freeQuant, which integrated quantification with functional analysis eff...

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Detalles Bibliográficos
Autores principales: Deng, Ning, Li, Zhenye, Pan, Chao, Duan, Huilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667154/
https://www.ncbi.nlm.nih.gov/pubmed/26665161
http://dx.doi.org/10.1155/2015/137076
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author Deng, Ning
Li, Zhenye
Pan, Chao
Duan, Huilong
author_facet Deng, Ning
Li, Zhenye
Pan, Chao
Duan, Huilong
author_sort Deng, Ning
collection PubMed
description Study of complex proteome brings forward higher request for the quantification method using mass spectrometry technology. In this paper, we present a mass spectrometry label-free quantification tool for complex proteomes, called freeQuant, which integrated quantification with functional analysis effectively. freeQuant consists of two well-integrated modules: label-free quantification and functional analysis with biomedical knowledge. freeQuant supports label-free quantitative analysis which makes full use of tandem mass spectrometry (MS/MS) spectral count, protein sequence length, shared peptides, and ion intensity. It adopts spectral count for quantitative analysis and builds a new method for shared peptides to accurately evaluate abundance of isoforms. For proteins with low abundance, MS/MS total ion count coupled with spectral count is included to ensure accurate protein quantification. Furthermore, freeQuant supports the large-scale functional annotations for complex proteomes. Mitochondrial proteomes from the mouse heart, the mouse liver, and the human heart were used to evaluate the usability and performance of freeQuant. The evaluation showed that the quantitative algorithms implemented in freeQuant can improve accuracy of quantification with better dynamic range.
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spelling pubmed-46671542015-12-09 freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis Deng, Ning Li, Zhenye Pan, Chao Duan, Huilong ScientificWorldJournal Research Article Study of complex proteome brings forward higher request for the quantification method using mass spectrometry technology. In this paper, we present a mass spectrometry label-free quantification tool for complex proteomes, called freeQuant, which integrated quantification with functional analysis effectively. freeQuant consists of two well-integrated modules: label-free quantification and functional analysis with biomedical knowledge. freeQuant supports label-free quantitative analysis which makes full use of tandem mass spectrometry (MS/MS) spectral count, protein sequence length, shared peptides, and ion intensity. It adopts spectral count for quantitative analysis and builds a new method for shared peptides to accurately evaluate abundance of isoforms. For proteins with low abundance, MS/MS total ion count coupled with spectral count is included to ensure accurate protein quantification. Furthermore, freeQuant supports the large-scale functional annotations for complex proteomes. Mitochondrial proteomes from the mouse heart, the mouse liver, and the human heart were used to evaluate the usability and performance of freeQuant. The evaluation showed that the quantitative algorithms implemented in freeQuant can improve accuracy of quantification with better dynamic range. Hindawi Publishing Corporation 2015 2015-11-08 /pmc/articles/PMC4667154/ /pubmed/26665161 http://dx.doi.org/10.1155/2015/137076 Text en Copyright © 2015 Ning Deng et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Deng, Ning
Li, Zhenye
Pan, Chao
Duan, Huilong
freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis
title freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis
title_full freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis
title_fullStr freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis
title_full_unstemmed freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis
title_short freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis
title_sort freequant: a mass spectrometry label-free quantification software tool for complex proteome analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667154/
https://www.ncbi.nlm.nih.gov/pubmed/26665161
http://dx.doi.org/10.1155/2015/137076
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