National Metabolomics Data Repository

As of 01/19/21 the National Metabolomics Data Repository (NMDR) contains 1303 publicly available studies.
A total of 1577 studies have been processed by the NMDR and the remainder (274) will be made available subject to their embargo dates.

Recently released studies on NMDR

ST001429 - MYC regulates ribosome biogenesis and mitochondrial gene expression programs through its interaction with Host Cell Factor-1; Homo sapiens; Vanderbilt University

ST000954 - Explore Metabolites and Pathways Associated Increased Airway Hyperresponsiveness in Asthma; Homo sapiens; University of Florida

ST000799 - Targeted TCA Panel of Myelin to Enhance Recovery of Function after SCI; Mus musculus; Mayo Clinic

Highlights

Mobile phone apps for metabolomics (January 4, 2021)

• NMDR metabolite summary app. Search over 1,250 studies in NMDR by anlytical technique, sample source, species and metabolite class. Retrieve a summary table sorted by frequency of detection of metabolite species, linked to structures and individual NMDR study information.
• RefMet search app. Search RefMet by (partial) name and/or neutral mass.
• RefMet name conversion app. Convert a metabolite name to RefMet nomenclature. Display structure. Calculate m/z.
• RefMet MS search app. Search RefMet with m/z value.
• Lipid mass/formula app. Calculate lipid neutral mass and m/z for over 160 lipid species.
• View Screenshot
  
• Reference: RefMet: a reference nomenclature for metabolomics (Nature Methods, 2020)
  

Higlights/News archive

Lipid Notation in RefMet and lipid m/z calculation tools

Convert your metabolite name to standardized nomenclature via RefMet

Exemplary Studies

A list of exemplary studies are listed here which adhere to the submission guidelines of Metabolomics Workbench. Specifically, publically available studies having all or most of the features below were identified as exemplary studies.

• Well-written study summary
• Detailed metadata for collection/treatment/chromatography/MS/NMR, etc.
• Post-processing details
• Presence of control samples
• Raw data availability for samples and controls
• One-to-one mapping of sample names to raw data file name
• Internal standards (with measurements)
• Clear and organized metabolite annotations

These include different analysis (GC-MS, LC-MS, NMR) and species type. We recommend looking at these studies as a model example before submitting to Metabolomics Workbench.