基因表达和蛋白质丰富:这些分子特征有多大关联?
Anahita Samih1, Maurício Alexander de Moura Ferreira1, Zoran Nikoloski1
1Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam 14476, Germany; Systems Biology and Mathematical Modelling, Max Planck Institute of Molecular Plant Physiology, Potsdam 14476, Germany.
Biotechnology advances
|October 2, 2025
概括
从基因表达来预测蛋白质丰富性是生物技术的关键. 本综述对基因-蛋白质关系的研究进行了分类,突出了影响它的因素和使用先进模型的未来方向.
科学领域:
- 分子生物学分子生物学
- 系统生物学 系统生物学
- 生物技术是生物技术.
背景情况:
- 从基因表达中准确预测蛋白质丰富性对于代谢工程和合成生物学至关重要.
- 量化蛋白质丰度已经落后于基因表达测量方法,这构成了重大挑战.
研究的目的:
- 在各种不同的实验环境中审查和分类研究基因表达-蛋白质丰度关系的研究.
- 基于相关性测量结果进行比较,并探索影响这些相关性的因素.
- 突出单细胞分析和先进建模在这个领域的影响.
主要方法:
- 对相关科学文献进行系统审查和分类.
- 基于相关性的措施的比较分析 (例如,转录组学和蛋白质组学数据).
- 包括使用统计和机械模型结合翻译速率,蛋白质降解和转录后修改等因素的研究.
主要成果:
- 基因表达和蛋白质丰富性表现出由多种生物因素影响的复杂关系.
- 使用各种相关性指标,根据数据转换和实验背景的不同解释.
- 单细胞分析和先进的计算模型为基因-蛋白质动态提供了新的见解.
结论:
- 了解基因表达-蛋白质丰富性联系对于推进生物技术至关重要.
- 蛋白质受约束的代谢模型和机器/深度学习模型为生物技术应用提供了重大机遇.
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