Holistic approach to genomics of human-pathogenic fungi: Data warehouse for integration of data on transcriptome, proteome and metabolome of Candida albicans and Aspergillus fumigatus

人类致病真菌基因组学的整体方法：用于整合白色念珠菌和烟曲霉转录组、蛋白质组和代谢组数据的数据仓库

• 批准号: 27951330
• 负责人: Professor Dr. Axel Brakhage, Ph.D.
• 金额: --
• 依托单位: Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. Hans-Knöll-Institut
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/27951330?language=en
• 关键词: Holistic; approach; genomics; human; pathogenic

The proposed project aims to support a multi-disciplinary approach to characterise and quantify the infection process of human-pathogenic fungi such as Candida albicans and Aspergillus fumigatus, at the cellular and molecular level. Host-pathogen interaction includes both, processes of the fungal pathogen and the host cells. These and the underlying structures of regulatory pathways will be investigated by analysis of time series data measured after defined and optimal designed perturbations (e.g. stimulations of pathogens by host-cell contact and administration of antifungal drugs to infected host cells) within several projects of the SPP1160. Transcriptomic and proteomic process data together with microbiological and biochemical data will be stored and analysed to support functional genome analysis of both, pathogenic fungi as well as host cells (in vitro, mouse, human). Thus, a common platform will be provided for all members of the Programme in order to interpret genome-wide analyses and interpretations of the generated data. This integrated approach combining several types of data from all projects of the SPP1160 will be assisted by the establishment of a database and data warehouse and shall lead to a comprehensive understanding of host-pathogen interaction in a systems biology attempt.

拟议的项目旨在支持采用多学科方法在细胞和分子水平上表征和量化人类致病真菌（例如白色念珠菌和烟曲霉）的感染过程。宿主-病原体相互作用包括真菌病原体和宿主细胞的过程。这些以及调节途径的基本结构将通过分析在 SPP1160 的几个项目中定义和优化设计的扰动（例如通过宿主细胞接触刺激病原体和向受感染的宿主细胞施用抗真菌药物）后测量的时间序列数据来研究。转录组和蛋白质组过程数据以及微生物和生化数据将被存储和分析，以支持病原真菌和宿主细胞（体外、小鼠、人类）的功能基因组分析。因此，将为该计划的所有成员提供一个通用平台，以便解释全基因组分析和生成数据的解释。这种综合方法结合了 SPP1160 所有项目的多种类型的数据，将通过建立数据库和数据仓库来协助，并将导致对系统生物学尝试中宿主-病原体相互作用的全面理解。