MatrixDB 2024:增加了细胞外矩阵相互作用的覆盖范围,一个新的网络探索器和一个新的Web接口
Kasun W Samarasinghe1, Max Kotlyar2, Sylvain D Vallet3
1SIB, Swiss Institute of Bioinformatics, Geneva, Switzerland.
Nucleic acids research
|November 18, 2024
概括
MatrixDB是一个对细胞外矩阵 (ECM) 相互作用的升级数据库,现在为研究ECM互动组的研究人员提供了两倍的精选数据和增强的网络分析工具.
科学领域:
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 细胞外基质 (ECM) 对组织结构和功能至关重要.
- 了解ECM组件的相互作用对于生物研究至关重要.
- 现有的数据库可能缺乏全面的,精心策划的ECM交互数据.
研究的目的:
- 为了呈现MatrixDB数据库的升级版本.
- 增强ECM交互的数据可访问性,策划和分析能力.
- 扩大ECM互动组的覆盖范围.
主要方法:
- 数据库架构升级,以改善数据出口,版本管理和程序访问.
- 整合手工策划和实验支持的交互,翻一番以前的内容.
- 从综合交互数据库导入高可信度预测相互作用.
- 标注ECM蛋白与母体组类别以及Reactome通路的添加.
- 通过网络探索器将转录和蛋白质组数据集纳入网络生成.
主要成果:
- 现在MatrixDB包含的手动策划和实验支持的ECM交互的数量超过两倍.
- 通过导入的预测相互作用,扩大了ECM互动组的覆盖范围.
- 增强了对母体体分裂和生物通路的注释.
- 开发一个内部网络探索器,用于生成细胞和组织特定的ECM网络.
结论:
- 升级的MatrixDB为研究ECM相互作用提供了显著增强的资源.
- 改进的数据可访问性和分析工具促进了ECM-omic数据集的计算分析.
- 对于科学界来说,MatrixDB是一个有价值的,免费可用的平台.
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