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Validation of targets and drug candidates in an engineered three-dimensional cardiac tissue model.

机译:在经过设计的三维心脏组织模型中验证目标和候选药物。

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摘要

High-throughput target discovery confronts the biopharmaceutical industry with a plethora of target candidates. The validation of these candidates in disease-specific animal models often lacks the required throughput. Here, we discuss perspectives and limitations of a novel engineered three-dimensional cardiac tissue, which enables the influence of gene and drug intervention to be monitored on a cellular and molecular level under physiological conditions in sufficient throughput. The model is an extremely helpful filter to prioritize multiple development candidates before moving a project into large animal models with higher predictivity.
机译:高通量的目标发现使生物制药行业面临着众多的目标候选人。在特定疾病的动物模型中对这些候选物的验证通常缺乏所需的通量。在这里,我们讨论了一种新型工程化三维心脏组织的观点和局限性,它可以在生理条件下以足够的通量监测基因和药物干预对细胞和分子水平的影响。该模型是非常有用的过滤器,用于在将项目移入具有较高可预测性的大型动物模型之前,优先考虑多个开发候选对象。

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