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Powerful qPCR assays for the early detection of latent invaders: interdisciplinary approaches in clinical cancer research and plant pathology

机译:早期发现潜在入侵者的强大qPCR分析方法:临床癌症研究和植物病理学中的跨学科方法

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Latent invaders represent the first step of disease before symptoms occur in the host. Based on recent findings, tumors are considered to be ecosystems in which cancer cells act as invasive species that interact with the native host cell species. Analogously, in plants latent fungal pathogens coevolve within symptomless host tissues. For these reasons, similar detection approaches can be used for an early diagnosis of the invasion process in both plants and humans to prevent or reduce the spread of the disease. Molecular tools based on the evaluation of nucleic acids have been developed for the specific, rapid, and early detection of human diseases. During the last decades, these techniques to assess and quantify the proliferation of latent invaders in host cells have been transferred from the medical field to different areas of scientific research, such as plant pathology. An improvement in molecular biology protocols (especially referring to qPCR assays) specifically designed and optimized for detection in host plants is therefore advisable. This work is a cross-disciplinary review discussing the use of a methodological approach that is employed within both medical and plant sciences. It provides an overview of the principal qPCR tools for the detection of latent invaders, focusing on comparisons between clinical cancer research and plant pathology, and recent advances in the early detection of latent invaders to improve prevention and control strategies.
机译:潜伏的入侵者是疾病在宿主中出现症状之前的第一步。根据最近的发现,肿瘤被认为是生态系统,其中癌细胞充当与天然宿主细胞物种相互作用的侵入物种。类似地,在植物中,潜在的真菌病原体在无症状宿主组织内共同进化。由于这些原因,相似的检测方法可用于植物和人类入侵过程的早期诊断,以预防或减少疾病的传播。已经开发了基于核酸评估的分子工具,用于特异性,快速和早期检测人类疾病。在过去的几十年中,这些评估和量化宿主细胞中潜伏入侵者增殖的技术已经从医学领域转移到了不同​​的科学研究领域,例如植物病理学。因此,建议对分子生物学方案进行改进(尤其是指qPCR分析),以特别设计和优化以用于宿主植物的检测。这项工作是一项跨学科的综述,讨论了医学和植物科学中采用的方法学方法的使用。它概述了用于检测潜在入侵者的主要qPCR工具,重点是临床癌症研究与植物病理学之间的比较,以及早期发现潜在入侵者以改善预防和控制策略的最新进展。

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