高度训练运动员血液样本的蛋白质组和代谢组分析

Data Pub Date : 2024-01-16 DOI:10.3390/data9010015
K. Malsagova, A. Kopylov, V. Pustovoyt, E. I. Balakin, Ksenia A. Yurku, A. Stepanov, L. Kulikova, V. Rudnev, A. Kaysheva
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引用次数: 0

摘要

大运动量负荷会导致蛋白质组和代谢发生复杂而模糊的变化。本研究旨在描述从不同运动项目中训练有素的运动员采集的血浆样本中蛋白质和代谢物含量的数据集。研究采用 HPLC-MS/MS 技术,对不同运动强度的高水平运动员的血浆样本进行了蛋白质组和代谢组分析。分析结果以两个数据集(以 mgf 文件格式生成的蛋白质组数据和以处理格式生成的代谢组数据)的形式报告,每个数据集包含通过分析 93 个质谱获得的结果。根据不同运动项目的训练负荷强度,可以观察到生物样本中蛋白质和代谢物含量的变化。质谱蛋白质组学和代谢组学研究可用于根据运动强度对不同运动员的表型进行分类,以及评估恢复期的效率。
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Proteomic and Metabolomic Analyses of the Blood Samples of Highly Trained Athletes
High exercise loading causes intricate and ambiguous proteomic and metabolic changes. This study aims to describe the dataset on protein and metabolite contents in plasma samples collected from highly trained athletes across different sports disciplines. The proteomic and metabolomic analyses of the plasma samples of highly trained athletes engaged in sports disciplines of different intensities were carried out using HPLC-MS/MS. The results are reported as two datasets (proteomic data in a derived mgf-file and metabolomic data in processed format), each containing the findings obtained by analyzing 93 mass spectra. Variations in the protein and metabolite contents of the biological samples are observed, depending on the intensity of training load for different sports disciplines. Mass spectrometric proteomic and metabolomic studies can be used for classifying different athlete phenotypes according to the intensity of sports discipline and for the assessment of the efficiency of the recovery period.
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