Ion Fusion of High-Resolution LC MS-Based Metabolomics Data to Discover More Reliable Biomarkers
文献类型：期刊论文
| 作者 | Zeng, Zhongda1; Liu, Xinyu1; Dai, Weidong1; Yin, Peiyuan1; Zhou, Lina1; Huang, Qiang1; Lin, Xiaohui2; Xu, Guowang1 |
| 刊名 | analytical chemistry
 |
| 出版日期 | 2014-04-15 |
| 卷号 | 86期号:8页码:3793-3800 |
| 英文摘要 | a systematic approach for the fusion of associated ions from a common molecule was developed to generate "one feature for one peak" metabolomics data. this approach guarantees that each molecule is equally selected as a potential biomarker and may largely enhance the chance to obtain reliable findings without employing redundant ion information. the ion fusion is based on low mass variation in contrast to the theoretical calculation measured by a high-resolution mass spectrometer, such as ltq orbitrap, and a high correlation of ion pairs from the same molecule. the mass characteristics of isotopic distribution, neutral loss, and adduct ions were simultaneously applied to inspect each extracted ion in the range of a predefined retention time window. the correlation coefficient was computed with the corresponding intensities of each ion pair among all experimental samples. serum metabolomics data for the investigation of hepatocellular carcinoma (hcc) and healthy controls were utilized as an example to demonstrate this strategy. in total, 609 and 1084 ion pairs were respectively found meeting one or more criteria for fusion, and therefore fused to 106 and 169 metabolite features of the datasets in the positive and negative modes, respectively. the important metabolite features were separately discovered and compared to distinguish the hcc from the healthy controls using the two datasets with and without ion fusion. the results show that the developed method can be an effective tool to process high-resolution mass spectrometry data in "omics" studies. |
| WOS标题词 | science & technology ; physical sciences |
| 类目[WOS] | chemistry, analytical |
| 研究领域[WOS] | chemistry |
| 关键词[WOS] | spectrometry-based metabolomics ; orbitrap mass-spectrometer ; liquid-chromatography ; accurate mass ; serum ; identification ; metabonomics ; validation ; tools |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000334658000019 |
| 公开日期 | 2016-05-09 |
| 源URL | [http://cas-ir.dicp.ac.cn/handle/321008/145660]  |
| 专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
| 作者单位 | 1.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China 2.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zeng, Zhongda,Liu, Xinyu,Dai, Weidong,et al. Ion Fusion of High-Resolution LC MS-Based Metabolomics Data to Discover More Reliable Biomarkers[J]. analytical chemistry,2014,86(8):3793-3800. |
| APA | Zeng, Zhongda.,Liu, Xinyu.,Dai, Weidong.,Yin, Peiyuan.,Zhou, Lina.,...&Xu, Guowang.(2014).Ion Fusion of High-Resolution LC MS-Based Metabolomics Data to Discover More Reliable Biomarkers.analytical chemistry,86(8),3793-3800. |
| MLA | Zeng, Zhongda,et al."Ion Fusion of High-Resolution LC MS-Based Metabolomics Data to Discover More Reliable Biomarkers".analytical chemistry 86.8(2014):3793-3800. |
入库方式： OAI收割
来源：大连化学物理研究所
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