LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors
文献类型：期刊论文
| 作者 | Chang, Cheng1; Gao, Zhiqiang2,3; Ying, Wantao1; Fu, Yan2,3 ; Zhao, Yan1; Wu, Songfeng1; Li, Mengjie2,3; Wang, Guibin1; Qian, Xiaohong1; Zhu, Yunping1,4
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| 刊名 | ANALYTICAL CHEMISTRY
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| 出版日期 | 2019-01-15 |
| 卷号 | 91期号:2页码:1335-1343 |
| ISSN号 | 0003-2700 |
| DOI | 10.1021/acs.analchem.8b03267 |
| 英文摘要 | Mass spectrometry (MS) has become a predominant choice for large-scale absolute protein quantification, but its quantification accuracy still has substantial room for improvement. A crucial issue is the bias between the peptide MS intensity and the actual peptide abundance, i.e., the fact that peptides with equal abundance may have different MS intensities. This bias is mainly caused by the diverse physicochemical properties of peptides. Here, we propose an algorithm for label-free absolute protein quantification, LFAQ which can correct the biased MS intensities by using the predicted peptide quantitative factors for all identified peptides. When validated on data sets produced by different MS instruments and data acquisition modes, LFAQ presented accuracy and precision superior to those of existing methods. In particular, it reduced the quantification error by an average of 46% for low-abundance proteins. The advantages of LFAQ were further confirmed using the data from published papers. |
| 资助项目 | National Basic Research Program of China[2017YFA0505002] ; National Basic Research Program of China[2017YFC0906600] ; National Basic Research Program of China[2016YFA0501300] ; National Basic Research Program of China[2014CBA02001] ; Strategic Priority Research Program of CAS[XDB13040600] ; National Natural Science Foundation of China[21605159] ; National Natural Science Foundation of China[21475150] ; NCMIS CAS ; [16CXZ027] |
| WOS研究方向 | Chemistry |
| 语种 | 英语 |
| WOS记录号 | WOS:000456350000019 |
| 出版者 | AMER CHEMICAL SOC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/32190]  |
| 专题 | 应用数学研究所 |
| 通讯作者 | Fu, Yan; Qian, Xiaohong; Zhu, Yunping; He, Fuchu |
| 作者单位 | 1.Beijing Inst Lifeom, State Key Lab Prote, Beijing Proteome Res Ctr, Natl Ctr Prot Sci Beijing, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Natl Ctr Math & Interdisciplinary Sci, Key Lab Random Complex Struct & Data Sci, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 4.Anhui Med Univ, Hefei 230032, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chang, Cheng,Gao, Zhiqiang,Ying, Wantao,et al. LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors[J]. ANALYTICAL CHEMISTRY,2019,91(2):1335-1343. |
| APA | Chang, Cheng.,Gao, Zhiqiang.,Ying, Wantao.,Fu, Yan.,Zhao, Yan.,...&He, Fuchu.(2019).LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors.ANALYTICAL CHEMISTRY,91(2),1335-1343. |
| MLA | Chang, Cheng,et al."LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors".ANALYTICAL CHEMISTRY 91.2(2019):1335-1343. |
入库方式： OAI收割
来源：数学与系统科学研究院
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