Cargando…
(1)H NMR based urinary metabolites profiling dataset of canine mammary tumors
The identification of efficient and sensitive biomarkers for non-invasive tests is one of the major challenges in cancer diagnosis. To address this challenge, metabolomics is widely applied for identifying biomarkers that detect abnormal changes in cancer patients. Canine mammary tumors exhibit phys...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971436/ https://www.ncbi.nlm.nih.gov/pubmed/35361774 http://dx.doi.org/10.1038/s41597-022-01229-1 |
_version_ | 1784679632517201920 |
---|---|
author | Lee, Songyeon Seung, Byung-Joon Yang, In Seok Lee, Jueun Ha, Taewoong Park, Hee-Myung Cheong, Jae-Ho Kim, Sangwoo Sur, Jung-Hyang Hwang, Geum-Sook Nam, Hojung |
author_facet | Lee, Songyeon Seung, Byung-Joon Yang, In Seok Lee, Jueun Ha, Taewoong Park, Hee-Myung Cheong, Jae-Ho Kim, Sangwoo Sur, Jung-Hyang Hwang, Geum-Sook Nam, Hojung |
author_sort | Lee, Songyeon |
collection | PubMed |
description | The identification of efficient and sensitive biomarkers for non-invasive tests is one of the major challenges in cancer diagnosis. To address this challenge, metabolomics is widely applied for identifying biomarkers that detect abnormal changes in cancer patients. Canine mammary tumors exhibit physiological characteristics identical to those in human breast cancer and serve as a useful animal model to conduct breast cancer research. Here, we aimed to provide a reliable large-scale metabolite dataset collected from dogs with mammary tumors, using proton nuclear magnetic resonance spectroscopy. We identified 55 metabolites in urine samples from 20 benign, 87 malignant, and 49 healthy control subjects. This dataset provides details of mammary tumor-specific metabolites in dogs and insights into cancer-specific metabolic alterations that share similar molecular characteristics. |
format | Online Article Text |
id | pubmed-8971436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89714362022-04-20 (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors Lee, Songyeon Seung, Byung-Joon Yang, In Seok Lee, Jueun Ha, Taewoong Park, Hee-Myung Cheong, Jae-Ho Kim, Sangwoo Sur, Jung-Hyang Hwang, Geum-Sook Nam, Hojung Sci Data Data Descriptor The identification of efficient and sensitive biomarkers for non-invasive tests is one of the major challenges in cancer diagnosis. To address this challenge, metabolomics is widely applied for identifying biomarkers that detect abnormal changes in cancer patients. Canine mammary tumors exhibit physiological characteristics identical to those in human breast cancer and serve as a useful animal model to conduct breast cancer research. Here, we aimed to provide a reliable large-scale metabolite dataset collected from dogs with mammary tumors, using proton nuclear magnetic resonance spectroscopy. We identified 55 metabolites in urine samples from 20 benign, 87 malignant, and 49 healthy control subjects. This dataset provides details of mammary tumor-specific metabolites in dogs and insights into cancer-specific metabolic alterations that share similar molecular characteristics. Nature Publishing Group UK 2022-03-31 /pmc/articles/PMC8971436/ /pubmed/35361774 http://dx.doi.org/10.1038/s41597-022-01229-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Lee, Songyeon Seung, Byung-Joon Yang, In Seok Lee, Jueun Ha, Taewoong Park, Hee-Myung Cheong, Jae-Ho Kim, Sangwoo Sur, Jung-Hyang Hwang, Geum-Sook Nam, Hojung (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors |
title | (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors |
title_full | (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors |
title_fullStr | (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors |
title_full_unstemmed | (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors |
title_short | (1)H NMR based urinary metabolites profiling dataset of canine mammary tumors |
title_sort | (1)h nmr based urinary metabolites profiling dataset of canine mammary tumors |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971436/ https://www.ncbi.nlm.nih.gov/pubmed/35361774 http://dx.doi.org/10.1038/s41597-022-01229-1 |
work_keys_str_mv | AT leesongyeon 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT seungbyungjoon 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT yanginseok 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT leejueun 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT hataewoong 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT parkheemyung 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT cheongjaeho 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT kimsangwoo 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT surjunghyang 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT hwanggeumsook 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors AT namhojung 1hnmrbasedurinarymetabolitesprofilingdatasetofcaninemammarytumors |