A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases

Jennifer E. Kyle; Kelly G. Stratton; Erika M. Zink; Young-Mo Kim; Kent J. Bloodsworth; Matthew E. Monroe; Undiagnosed Diseases Network; Katrina M. Waters; Bobbie-Jo M. Webb-Robertson; David M. Koeller; Thomas O. Metz

doi:10.1038/s41597-021-00894-y

Scientific Data (Apr 2021)

A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases

Jennifer E. Kyle,
Kelly G. Stratton,
Erika M. Zink,
Young-Mo Kim,
Kent J. Bloodsworth,
Matthew E. Monroe,
Undiagnosed Diseases Network,
Katrina M. Waters,
Bobbie-Jo M. Webb-Robertson,
David M. Koeller,
Thomas O. Metz

Affiliations

Jennifer E. Kyle: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Kelly G. Stratton: Computing and Analytics Division, National Security Directorate, Pacific Northwest National Laboratory
Erika M. Zink: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Young-Mo Kim: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Kent J. Bloodsworth: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Matthew E. Monroe: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Undiagnosed Diseases Network
Katrina M. Waters: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Bobbie-Jo M. Webb-Robertson: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
David M. Koeller: Molecular and Medical Genetics, School of Medicine, Oregon Health and Science University
Thomas O. Metz: Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory

DOI: https://doi.org/10.1038/s41597-021-00894-y
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 12

Abstract

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Measurement(s) Metabolomics • Lipidomics Technology Type(s) gas chromatography-mass spectrometry • Ultra High-performance Liquid Chromatography/Tandem Mass Spectrometry Factor Type(s) age group • sex Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment blood plasma material • urine material • cerebrospinal fluid material Sample Characteristic - Location United States of America Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13656581

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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