SWATH-MS蛋白质组学数据显示,在正常牛肉和黑色牛肉之间,蛋白质的丰富程度不同
Laura González-Blanco1, Mamen Oliván1, Yolanda Diñeiro1
1Área de Sistemas de Producción Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA#@SERIDA_info), Ctra. AS-267, PK 19, 33300 Villaviciosa, Spain.
Data in brief
|October 20, 2025
概括
使用SWATH-MS蛋白质组学分析了深色,坚硬和干燥 (DFD) 牛肉,这是一个昂贵的质量缺陷. 研究人员确定了35种蛋白质,这些蛋白质可以作为预测DFD牛肉的生物标志物,有助于早期检测和质量改善.
科学领域:
- 食品科学 食品科学 食品科学
- 蛋白质组学是指蛋白质组学.
- 动物科学 动物科学
背景情况:
- 黑色,坚硬和干燥的 (DFD) 牛肉会造成重大经济损失,并由于其不良的外观和增加的腐败,导致消费者拒绝.
- 牛肉DFD的潜在机制是复杂的和多因素的,屠宰前的因素起作用,但不能完全阐明这种情况.
- 蛋白质组方法对于了解DFD牛肉的分子基础和识别潜在生物标志物是有价值的.
研究的目的:
- 用SWATH-MS蛋白质学来描述和量化DFD牛肉中的死后肌肉蛋白质.
- 为了确定与DFD牛肉状况相关的蛋白质表达差异.
- 发现候选蛋白质生物标志物用于早期预测和更好地表征DFD牛肉.
主要方法:
- SWATH-MS (所有理论质谱的顺序窗口获取) 蛋白质组学被用于深入的蛋白质组分析.
- 分析了一个全面的数据集,包括26个DFD牛肉样本 (pH24 ≥6.2) 和26个对照样本 (5.4 ≤ pH24 ≤ 5.6).
- 来自阿苏拉尼亚德洛斯瓦莱斯 (Asturan de los Valles) 一岁公牛的长胸和腰部肌肉样本是在死后24小时收集的.
主要成果:
- 在肌肉样本中,总共量化了735种蛋白质.
- 在DFD和对照样本之间观察到蛋白质丰度的显著差异.
- 35种蛋白质的丰度明显不同,这表明它们可能成为DFD牛肉的生物标志物.
结论:
- 该研究提供了DFD牛肉的全面蛋白质组数据集,促进了进一步的研究.
- 已识别的35种蛋白质代表了早期预测DFD牛肉的潜在生物标志物.
- 这项研究为完善DFD牛肉生物标记物选择和理解潜在的生物机制的整合经济学方法做出了贡献.
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