Summary of project PR001202
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001202. The data can be accessed directly via it's Project DOI: 10.21228/M8BD7S This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Project ID: | PR001202 |
Project DOI: | doi: 10.21228/M8BD7S |
Project Title: | Simultaneous metabolite and glycan extraction workflow for joint-omics analysis: a synergistic approach for novel insights into diseases |
Project Summary: | 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 and glycomic 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 glycomics datasets were subjected to block partial least square – discriminant analysis (block-PLS-DA) with canonical correlation analysis (CCA) for identifying relevant mechanistic interactions between metabolites and glycans. This joint-omics investigation revealed inter-modulative roles that carbohydrates 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 metabolite-glycan extraction workflow. |
Institute: | National University of Singapore |
Last Name: | Lim |
First Name: | Si Ying |
Address: | Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543 |
Email: | lim.siying@u.nus.edu |
Phone: | +6592748281 |
Summary of all studies in project PR001202
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
---|---|---|---|---|---|---|---|---|
ST001908 | Post Acute Myocardial Infarction Left Ventricular Remodeling Bio marker Analysis (PAMILA) | Homo sapiens | National University of Singapore | MS | 2022-01-21 | 1 | 100 | Uploaded data (29.4M)* |