Glycan Mapping of Low-Molecular-Weight Heparin Using Mass Spectral Correction Based on Chromatography Fitting with "Glycomapping" Software.
Na YanFeifan SongYilan OuyangDuxin LiHe TianLin YiRobert J LinhardtZhenqing ZhangPublished in: Analytical chemistry (2022)
In this work, the first version of "Glycomapping" software is developed for the analysis of the most common low-molecular-weight heparin (LMWH), enoxaparin. Using ultrahigh-performance liquid chromatography-mass spectrometry, size exclusion chromatography is applied, and a virtual database of glycans in enoxaparin is established for the initial searching. With "Glycomapping", a complex chromatogram can be fitted, significantly improving resolution and confirming an accurate distribution range for each size of glycan within enoxaparin. In addition, randomly matched MS data can be corrected, with the constraint of the corresponding chromatographic retention time range, to remove most false positive data. The analytical stability of "Glycomapping" software was confirmed. Enoxaparin, prepared by different manufacturers and from different animal sources, was analyzed using "Glycomapping." Compared to raw data, data processed with "Glycomapping" are more robust and accurate. Another two LMWHs, nadroparin and dalteparin could also be analyzed with this software. This work lays a solid foundation for the automated analysis of heterogeneous mixtures of natural glycans, such as LMWHs and other complex oligosaccharides and polysaccharides.
Keyphrases
- mass spectrometry
- liquid chromatography
- venous thromboembolism
- high resolution
- data analysis
- electronic health record
- tandem mass spectrometry
- high resolution mass spectrometry
- big data
- high performance liquid chromatography
- simultaneous determination
- machine learning
- gas chromatography
- cell surface
- capillary electrophoresis
- deep learning
- magnetic resonance
- growth factor
- ms ms
- optical coherence tomography
- high throughput
- solid phase extraction
- single molecule
- single cell