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必需氨基酸水平变化下大鼠 INS-1β细胞的代谢轮廓分析。

Metabolic profilings of rat INS-1 β-cells under changing levels of essential amino acids.

机构信息

College of Animal Science and Technology, Shandong Agricultural University, Taian, 271018, P. R. China.

Institute of Animal Immune Engineering, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, P. R. China.

出版信息

Sci Data. 2022 Jun 14;9(1):299. doi: 10.1038/s41597-022-01436-w.

Abstract

Application of mass spectrometry enables the detection of metabolic differences between organisms with different nutritional settings. Divergence in the metabolic fingerprints of rat pancreatic INS-1 β-cells were systematically captured with regard to ten individual essential amino acid (EAA) availability. A high-resolution tandem mass spectrometry system coupled to liquid chromatography produced a horizontal comparison of metabolic profilings of β-cells with individual EAA elevated to 10 mmol/L by turn or removal individual EAA from the medium one by one. Quality control samples were injected at regular intervals throughout the analytical run to monitor and evaluate the stability of the system. The raw data of samples and reference compounds including study protocols have been deposited in the open metabolomics database MetaboLights to enable efficient reuse of the datasets, such as investigating the difference in metabolic process between diverse EAAs as well as screening and verifying potential metabolites affecting insulin secretion and β-cell function.

摘要

质谱的应用使我们能够检测出不同营养环境下生物体之间的代谢差异。本研究系统地捕捉了大鼠胰腺 INS-1β细胞在十种必需氨基酸(EAA)可用性方面的代谢指纹差异。高效液相色谱-串联质谱系统产生了β细胞代谢轮廓的横向比较,其中个别 EAA 被单独升高到 10mmol/L 或从培养基中逐个去除个别 EAA。在整个分析运行过程中,定期注入质量控制样品以监测和评估系统的稳定性。包括研究方案在内的样本和参考化合物的原始数据已被存入开放的代谢组学数据库 MetaboLights,以实现数据集的有效重复利用,例如研究不同 EAA 之间代谢过程的差异,以及筛选和验证可能影响胰岛素分泌和β细胞功能的潜在代谢物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45fe/9198089/896186a4c03a/41597_2022_1436_Fig1_HTML.jpg

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