FreeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis. (8th November 2015)

• Record Type: Journal Article
• Authors: Deng, Ning; Li, Zhenye; Pan, Chao; Duan, Huilong
• Other Names: Zheng Huiru Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2015(2015)
• Publication Date: 2015-11-08
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1155/2015/137076
• Languages: English
• ISSNs: 2356-6140

Abstract

Abstract : 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.