Synthetic Biomaterials to Rival Nature's Complexity—a Path Forward with Combinatorics, High‐Throughput Discovery, and High‐Content Analysis,Advanced Healthcare Materials

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Synthetic Biomaterials to Rival Nature's Complexity—a Path Forward with Combinatorics, High‐Throughput Discovery, and High‐Content Analysis
Advanced Healthcare Materials ( IF 10.0 ) Pub Date : 2017-08-25 , DOI: 10.1002/adhm.201700535
Douglas Zhang ₁ , Junmin Lee ₁ , Kristopher A. Kilian _{1,

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Affiliation

Cells in tissue receive a host of soluble and insoluble signals in a context‐dependent fashion, where integration of these cues through a complex network of signal transduction cascades will define a particular outcome. Biomaterials scientists and engineers are tasked with designing materials that can at least partially recreate this complex signaling milieu towards new materials for biomedical applications. In this progress report, recent advances in high throughput techniques and high content imaging approaches that are facilitating the discovery of efficacious biomaterials are described. From microarrays of synthetic polymers, peptides and full‐length proteins, to designer cell culture systems that present multiple biophysical and biochemical cues in tandem, it is discussed how the integration of combinatorics with high content imaging and analysis is essential to extracting biologically meaningful information from large scale cellular screens to inform the design of next generation biomaterials.

中文翻译：

合成生物材料以应对自然界的复杂性—组合，高通量发现和高含量分析的发展之路

组织中的细胞以上下文相关的方式接收大量可溶和不可溶信号，其中通过复杂的信号转导级联网络整合这些线索将定义特定的结果。生物材料科学家和工程师的任务是设计能够至少部分地重现这种复杂信号环境的材料，以用于生物医学应用的新材料。在此进展报告中，描述了有助于发现有效生物材料的高通量技术和高含量成像方法的最新进展。从合成聚合物，肽和全长蛋白质的微阵列，到设计器细胞培养系统，这些系统可以同时呈现多种生物物理和生化线索，

更新日期：2017-08-25

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