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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/137076 |
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| _version_ | 1832550173324083200 |
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| author | Ning Deng Zhenye Li Chao Pan Huilong Duan |
| author_facet | Ning Deng Zhenye Li Chao Pan Huilong Duan |
| author_sort | Ning Deng |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-de5b8dc350624c9697eb97707c01490f |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-de5b8dc350624c9697eb97707c01490f2025-02-03T06:07:34ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/137076137076freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome AnalysisNing Deng0Zhenye Li1Chao Pan2Huilong Duan3Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, ChinaGeneral Hospital of Ningxia Medical University, Yinchuan 750004, ChinaDepartment of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, ChinaDepartment of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, ChinaStudy 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.http://dx.doi.org/10.1155/2015/137076 |
| spellingShingle | Ning Deng Zhenye Li Chao Pan Huilong Duan freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2015/137076 |
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