Quantitative Metabolomic Dataset of Avian Eye Lenses

Ekaterina A. Zelentsova (), Sofia S. Mariasina, Vadim V. Yanshole, Lyudmila V. Yanshole, Nataliya A. Osik, Kirill A. Sharshov and Yuri P. Tsentalovich ()
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Ekaterina A. Zelentsova: Laboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, Novosibirsk 630090, Russia
Sofia S. Mariasina: Faculty of Fundamental Medicine, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow 119991, Russia
Vadim V. Yanshole: Laboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, Novosibirsk 630090, Russia
Lyudmila V. Yanshole: Laboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, Novosibirsk 630090, Russia
Nataliya A. Osik: Laboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, Novosibirsk 630090, Russia
Kirill A. Sharshov: Laboratory of Molecular Epidemiology and Biodiversity of Viruses, Federal Research Center of Fundamental and Translational Medicine, Timakova Street 2, Novosibirsk 630117, Russia
Yuri P. Tsentalovich: Laboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, Novosibirsk 630090, Russia

Data, 2023, vol. 8, issue 8, 1-8

Abstract: Metabolomics is a powerful set of methods that uses analytical techniques to identify and quantify metabolites in biological samples, providing a snapshot of the metabolic state of a biological system. In medicine, metabolomics may help to reveal the molecular basis of a disease, make a diagnosis, and monitor treatment responses, while in agriculture, it can improve crop yields and plant breeding. However, animal metabolomics faces several challenges due to the complexity and diversity of animal metabolomes, the lack of standardized protocols, and the difficulty in interpreting metabolomic data. The current dataset includes quantitative metabolomic profiles of eye lenses from 26 bird species (111 specimens) that can aid researchers in developing new experiments, mathematical models, and integrating with other “-omics” data. The dataset includes raw 1 H NMR spectra, protocols for sample preparation, and data preprocessing, with the final table containing information on the abundance of 89 reliably identified and quantified metabolites. The dataset is quantitative, making it relevant for supplementing with new specimens or comparison groups, followed by data mining and expected new interpretations. The data were obtained using the bird specimens collected in compliance with ethical standards and revealed potential differences in metabolic pathways due to phylogenetic differences or environmental exposure.

Keywords: quantitative metabolomics; NMR spectroscopy; eye lens; birds (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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