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细胞组学与细胞信息学——应对生物系统中的不对称性和异质性

Cytomics and cellular informatics--coping with asymmetry and heterogeneity in biological systems.

作者信息

Smith Paul J, Khan Imtiaz A, Errington Rachel J

机构信息

Department of Pathology, Tenovus Building, School of Medicine, Cardiff University, Heath Park, Cardiff, UK.

出版信息

Drug Discov Today. 2009 Mar;14(5-6):271-7. doi: 10.1016/j.drudis.2008.11.012. Epub 2009 Jan 15.

Abstract

Cytomics has a practical role to play in drug discovery within the immediate limitations of cell-based analyses. A more elusive goal is the clarification of the complexity of a dynamic cellular response to a drug through mathematical modelling. The common aim for drug discovery and cytomics is to bridge the molecular-cellular systems gap. The strategic challenges faced include: suitable preclinical biological models, cytometric platforms that resolve cellular or behavioural identity, analysis and visualization tools that act as integrating principles, consensus on standards and, finally, the implementation of informatics to serve the demands of decision making. Advances in all these key areas will help to address the need to identify and evaluate the origins of asymmetry and heterogeneity in cellular systems and thus reveal new opportunities for therapeutic targeting.

摘要

在基于细胞分析的直接限制范围内,细胞组学在药物发现中具有实际作用。一个更难以实现的目标是通过数学建模来阐明细胞对药物动态反应的复杂性。药物发现和细胞组学的共同目标是弥合分子 - 细胞系统之间的差距。面临的战略挑战包括:合适的临床前生物学模型、能够解析细胞或行为特征的细胞分析平台、作为整合原则的分析和可视化工具、标准的共识,以及最终满足决策需求的信息学实施。所有这些关键领域的进展将有助于满足识别和评估细胞系统中不对称性和异质性起源的需求,从而揭示治疗靶点的新机会。

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