Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Animal Metabolite Database: Metabolite Concentrations in Animal Tissues and Convenient Comparison of Quantitative Metabolomic Data. / Yanshole, Vadim V; Melnikov, Arsenty D; Yanshole, Lyudmila V и др.
в: Metabolites, Том 13, № 10, 1088, 17.10.2023.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Animal Metabolite Database: Metabolite Concentrations in Animal Tissues and Convenient Comparison of Quantitative Metabolomic Data
AU - Yanshole, Vadim V
AU - Melnikov, Arsenty D
AU - Yanshole, Lyudmila V
AU - Zelentsova, Ekaterina A
AU - Snytnikova, Olga A
AU - Osik, Nataliya A
AU - Fomenko, Maxim V
AU - Savina, Ekaterina D
AU - Kalinina, Anastasia V
AU - Sharshov, Kirill A
AU - Dubovitskiy, Nikita A
AU - Kobtsev, Mikhail S
AU - Zaikovskii, Anatolii A
AU - Mariasina, Sofia S
AU - Tsentalovich, Yuri P
N1 - Funding: This research was funded by the Russian Science Foundation, grant number 22-24-00390, https://rscf.ru/project/22-24-00390/.
PY - 2023/10/17
Y1 - 2023/10/17
N2 - The Animal Metabolite Database (AMDB, https://amdb.online) is a freely accessible database with built-in statistical analysis tools, allowing one to browse and compare quantitative metabolomics data and raw NMR and MS data, as well as sample metadata, with a focus on the metabolite concentrations rather than on the raw data itself. AMDB also functions as a platform for the metabolomics community, providing convenient deposition and exchange of quantitative metabolomic data. To date, the majority of the data in AMDB relate to the metabolite content of the eye lens and blood of vertebrates, primarily wild species from Siberia, Russia and laboratory rodents. However, data on other tissues (muscle, heart, liver, brain, and more) are also present, and the list of species and tissues is constantly growing. Typically, every sample in AMDB contains concentrations of 60-90 of the most abundant metabolites, provided in nanomoles per gram of wet tissue weight (nmol/g). We believe that AMDB will become a widely used tool in the community, as typical metabolite baseline concentrations in tissues of animal models will aid in a wide variety of fundamental and applied scientific fields, including, but not limited to, animal modeling of human diseases, assessment of medical formulations, and evolutionary and environmental studies.
AB - The Animal Metabolite Database (AMDB, https://amdb.online) is a freely accessible database with built-in statistical analysis tools, allowing one to browse and compare quantitative metabolomics data and raw NMR and MS data, as well as sample metadata, with a focus on the metabolite concentrations rather than on the raw data itself. AMDB also functions as a platform for the metabolomics community, providing convenient deposition and exchange of quantitative metabolomic data. To date, the majority of the data in AMDB relate to the metabolite content of the eye lens and blood of vertebrates, primarily wild species from Siberia, Russia and laboratory rodents. However, data on other tissues (muscle, heart, liver, brain, and more) are also present, and the list of species and tissues is constantly growing. Typically, every sample in AMDB contains concentrations of 60-90 of the most abundant metabolites, provided in nanomoles per gram of wet tissue weight (nmol/g). We believe that AMDB will become a widely used tool in the community, as typical metabolite baseline concentrations in tissues of animal models will aid in a wide variety of fundamental and applied scientific fields, including, but not limited to, animal modeling of human diseases, assessment of medical formulations, and evolutionary and environmental studies.
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85175342140&origin=inward&txGid=05e2f4621d22cbaf189ebea198a5eb6c
U2 - 10.3390/metabo13101088
DO - 10.3390/metabo13101088
M3 - Article
C2 - 37887413
VL - 13
JO - Metabolites
JF - Metabolites
SN - 2218-1989
IS - 10
M1 - 1088
ER -
ID: 57512482