Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases
Bioinformatics and machine learning tools have made it possible to integrate data across different -omics platforms for novel multiomic insights into diseases. To synergistically process -omics data in an integrative manner, analyte extractions for each -omics type need to be done on the same set of...
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oai:animorepository.dlsu.edu.ph:faculty_research-117752024-04-25T03:30:29Z Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases Si, Lim Ying Bao, Ng Hui Vermulapallli, Dhruti Lau, Hazel Laserna, Anna Karen Carrasco Yang, Xiaoxun Tan, Sock Hwee Chan, Mark Y. Li, Sam Fong Yau Bioinformatics and machine learning tools have made it possible to integrate data across different -omics platforms for novel multiomic insights into diseases. To synergistically process -omics data in an integrative manner, analyte extractions for each -omics type need to be done on the same set of clinical samples. Therefore, we introduce a simultaneous dual extraction method for generating both metabolomic (polar metabolites only) and glycomic (protein-derived N-glycans only) profiles from one sample with good extraction efficiency and reproducibility. As proof of the usefulness of the extraction and joint-omics workflow, we applied it on platelet samples obtained from a cohort study comprising 66 coronary heart disease (CHD) patients and 34 matched healthy community-dwelling controls. The metabolomics and N-glycomics data sets were subjected to block partial least-squares−discriminant analysis (block-PLS-DA) based on sparse generalized canonical correlation analysis (CCA) for identifying relevant mechanistic interactions between metabolites and glycans. This joint-omics investigation revealed intermodulative roles that protein-bound carbohydrates or glycoproteins and amino acids have in metabolic pathways and through intermediate protein dysregulations. It also suggested a protective role of the glyco-redox network in CHD, demonstrating proof-of-principle for a joint-omics analysis in providing new insights into disease mechanisms, as enabled by a simultaneous polar metabolite and protein-derived N-glycan extraction workflow. 2021-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11761 Faculty Research Work Animo Repository Glycomics Metabolites Coronary heart disease Extraction (Chemistry) Biochemistry, Biophysics, and Structural Biology Biology |
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Glycomics Metabolites Coronary heart disease Extraction (Chemistry) Biochemistry, Biophysics, and Structural Biology Biology |
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Glycomics Metabolites Coronary heart disease Extraction (Chemistry) Biochemistry, Biophysics, and Structural Biology Biology Si, Lim Ying Bao, Ng Hui Vermulapallli, Dhruti Lau, Hazel Laserna, Anna Karen Carrasco Yang, Xiaoxun Tan, Sock Hwee Chan, Mark Y. Li, Sam Fong Yau Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases |
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Bioinformatics and machine learning tools have made it possible to integrate data across different -omics platforms for novel multiomic insights into diseases. To synergistically process -omics data in an integrative manner, analyte extractions for each -omics type need to be done on the same set of clinical samples. Therefore, we introduce a simultaneous dual extraction method for generating both metabolomic (polar metabolites only) and glycomic (protein-derived N-glycans only) profiles from one sample with good extraction efficiency and reproducibility. As proof of the usefulness of the extraction and joint-omics workflow, we applied it on platelet samples obtained from a cohort study comprising 66 coronary heart disease (CHD) patients and 34 matched healthy community-dwelling controls. The metabolomics and N-glycomics data sets were subjected to block partial least-squares−discriminant analysis (block-PLS-DA) based on sparse generalized canonical correlation analysis (CCA) for identifying relevant mechanistic interactions between metabolites and glycans. This joint-omics investigation revealed intermodulative roles that protein-bound carbohydrates or glycoproteins and amino acids have in metabolic pathways and through intermediate protein dysregulations. It also suggested a protective role of the glyco-redox network in CHD, demonstrating proof-of-principle for a joint-omics analysis in providing new insights into disease mechanisms, as enabled by a simultaneous polar metabolite and protein-derived N-glycan extraction workflow. |
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author |
Si, Lim Ying Bao, Ng Hui Vermulapallli, Dhruti Lau, Hazel Laserna, Anna Karen Carrasco Yang, Xiaoxun Tan, Sock Hwee Chan, Mark Y. Li, Sam Fong Yau |
author_facet |
Si, Lim Ying Bao, Ng Hui Vermulapallli, Dhruti Lau, Hazel Laserna, Anna Karen Carrasco Yang, Xiaoxun Tan, Sock Hwee Chan, Mark Y. Li, Sam Fong Yau |
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Si, Lim Ying |
title |
Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases |
title_short |
Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases |
title_full |
Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases |
title_fullStr |
Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases |
title_full_unstemmed |
Simultaneous polar metabolite and N‑Glycan extraction workflow for joint-omics analysis: A synergistic approach for novel insights into diseases |
title_sort |
simultaneous polar metabolite and n‑glycan extraction workflow for joint-omics analysis: a synergistic approach for novel insights into diseases |
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Animo Repository |
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2021 |
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https://animorepository.dlsu.edu.ph/faculty_research/11761 |
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