Cytomics and cellular informatics--coping with asymmetry and heterogeneity in biological systems.
Cytomics and cellular informatics--coping with asymmetry and heterogeneity in biological systems.
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DOI：
10.1016/j.drudis.2008.11.012
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发表时间：
2009-03
影响因子：
7.4
通讯作者：
Paul J. Smith;I. Khan;R. Errington
中科院分区：
文献类型：
--
作者：
Paul J. Smith;I. Khan;R. Errington
在基于细胞的分析的直接限制下，细胞组学在药物发现中发挥着实际作用。一个更难以捉摸的目标是通过数学模型阐明细胞对药物的动态反应的复杂性。药物发现和细胞组学的共同目标是弥合分子-细胞系统的差距。面临的战略挑战包括：合适的临床前生物模型、解决细胞或行为身份的细胞计数平台、充当整合原则的分析和可视化工具、标准共识，以及最后，实施信息学以满足决策需求。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不对称性和异质性起源的需求，从而揭示治疗靶向的新机会。
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.