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 IDStudy TitleSpeciesInstituteAnalysis
(* : Contains Untargted data)
Release
Date
VersionSamplesDownload
(* : 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)*
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