ProMENDA:在抑郁症中进行蛋白质和代谢体表征的最新资源
Juncai Pu1,2, Yue Yu3, Yiyun Liu2
1Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Translational psychiatry
|May 30, 2024
概括
现在,ProMENDA数据库为抑郁症研究提供了一个全面的资源,结合了来自众多研究的超过43,000个蛋白质和代谢物条目. 这种手动策划的平台有助于理解抑郁症的分子基础.
科学领域:
- 系统生物学 系统生物学
- 神经科学是一个神经科学.
- 生物化学 生物化学
背景情况:
- 抑郁症是一种广泛的精神障碍,具有复杂的生物学基础.
- 系统生物学方法,包括蛋白质组学和代谢组学,越来越多地用于研究抑郁症的分子机制.
- 目前无法提供来自各种研究的抑郁症相关分子数据的统一,注释资源.
研究的目的:
- 为了介绍ProMENDA,一个增强的数据库资源手动注释蛋白质和与抑郁症相关的代谢物.
- 为识别和注释现有抑郁症研究中的分子知识提供一个全面的平台.
- 通过新开发的Web界面来改善用户体验.
主要方法:
- 从科学文献中手动整理和注释蛋白质和代谢物数据.
- 开发一个更新的数据库,包括蛋白质和代谢物数据集.
- 实施一个多方面的注释方案,以全面丰富数据.
- 创建一个新的网页界面,以提高可访问性.
主要成果:
- 普罗门达数据库已得到显著扩展,现在包含43,366个分子条目 (20,847种蛋白质,22,519种代谢物).
- 数据是从1370项人类,老鼠,小鼠和非人类灵长类动物模型的研究中手动策划的.
- 与最初释放相比,分子输入的数量增加了七倍以上.
- 一个案例研究证明了ProMENDA在确定抑郁症动物模型中一致报告的分子中的实用性.
结论:
- 在抑郁症研究中,ProMENDA 作为一种全面的,手工策划的蛋白质组和代谢组数据资源.
- 该数据库为寻求了解抑郁症分子格局的研究人员提供了有价值的工具.
- ProMENDA是免费访问的,促进了更广泛的研究和现场发现.
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