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表达力图谱更新:从大量和单细胞级别的测序数据的洞察力

Nancy George¹, Silvie Fexova¹, Alfonso Munoz Fuentes¹

¹European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton CB10 1SD, UK.

Nucleic acids research

|November 22, 2023

概括

"表达图谱"和"单细胞表达图谱"为跨物种基线和差异表达研究提供了全面的基因和蛋白质表达数据. 这些EMBL-EBI知识库为研究人员提供先进的搜索和可视化工具.

科学领域:

基因组学就是基因组学.
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:

欧洲分子生物学实验室的欧洲生物信息研究所 (EMBL-EBI) 拥有表达图谱和单细胞表达图谱.
这些知识库提供了在批量和单细胞水平上访问基因和蛋白质表达和定位数据.
数据涵盖正常组织 (基线) 和对疾病或遗传变化 (差异) 等扰乱的反应.

研究的目的:

为用户提供一个标准化的界面来搜索跨物种和生物条件的基因和蛋白质表达数据.
在单细胞表达图谱中引入新功能,包括用于元数据查询的单细胞类型搜索轮.
通过先进的可视化技术,促进复杂表达数据的探索和理解.

主要方法:

利用标准化接口在多种物种和生物条件中搜索基因和元数据术语.
实施缩小维度图像,如t分布式静态邻居嵌入 (t-SNE) 和统一多边近似和投影 (UMAP) 进行数据探索.
为数据可视化生成标记基因热图,相互作用的细胞水平解剖图和细胞类型特定的基因表达热图.

主要成果:

表达图谱和单细胞表达图谱提供可搜索的,全物种的基因和蛋白质表达数据.
新的可视化工具,包括细胞类型轮,t-SNE,UMAP图和热图,增强数据解释.
用户可以研究正常组织中的基因表达以及对各种生物干扰的反应.

结论:

"表达图谱"和"单细胞表达图谱"是研究研究基因和蛋白质表达的研究人员的宝贵资源.
先进的搜索和可视化功能使用户能够有效地探索复杂的生物数据.
这些平台支持广泛的基因组学,转录组学和系统生物学研究问题.

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