1H NMR based urinary metabolites profiling dataset of canine mammary tumors

Songyeon Lee; Byung-Joon Seung; In Seok Yang; Jueun Lee; Taewoong Ha; Hee-Myung Park; Jae-Ho Cheong; Sangwoo Kim; Jung-Hyang Sur; Geum-Sook Hwang; Hojung Nam

doi:10.1038/s41597-022-01229-1

Scientific Data (Mar 2022)

1H NMR based urinary metabolites profiling dataset of canine mammary tumors

Songyeon Lee,
Byung-Joon Seung,
In Seok Yang,
Jueun Lee,
Taewoong Ha,
Hee-Myung Park,
Jae-Ho Cheong,
Sangwoo Kim,
Jung-Hyang Sur,
Geum-Sook Hwang,
Hojung Nam

Affiliations

Songyeon Lee: School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST)
Byung-Joon Seung: Department of Veterinary Pathology, College of Veterinary Medicine, Konkuk University
In Seok Yang: Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine
Jueun Lee: Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute
Taewoong Ha: Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute
Hee-Myung Park: Department of Veterinary Internal Medicine, College of Veterinary Medicine, Konkuk University
Jae-Ho Cheong: Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine
Sangwoo Kim: Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine
Jung-Hyang Sur: Department of Veterinary Pathology, College of Veterinary Medicine, Konkuk University
Geum-Sook Hwang: Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute
Hojung Nam: School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST)

DOI: https://doi.org/10.1038/s41597-022-01229-1
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 8

Abstract

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Measurement(s) Metabolite Technology Type(s) 1H nuclear magnetic resonance spectroscopy Factor Type(s) Age • Breeds • Sex • ER status • HER2 status • Histological grade • Neutral status Sample Characteristic - Organism Canis lupus familiaris

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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