TAmiRNA GmbH, Leberstraße 20, 1110 Vienna, Austria.
Dept. Pathology & Medical Biology, Medical Biology Section, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Biotechniques. 2019 Dec;67(6):276-285. doi: 10.2144/btn-2019-0032. Epub 2019 Oct 17.
Neglecting tissue heterogeneity during the analysis of microRNA (miRNA) levels results in average signals from an unknown mixture of different cell types that are difficult to interpret. Here we demonstrate the technical requirements needed to obtain high-quality, quantitative miRNA expression information from tumor tissue compartments obtained by laser microdissection (LMD). Furthermore, we show the significance of disentangling tumor tissue heterogeneity by applying the newly developed protocols for combining LMD of tumor tissue compartments with RT-qPCR analysis to reveal compartment-specific miRNA expression signatures. An important advantage of this strategy is that the miRNA signature can be directly linked to histopathology. In summary, combining LMD and RT-qPCR is a powerful approach for spatial miRNA expression analysis in complex tissues, enabling discovery of disease mechanisms, biomarkers and drug candidates.
在分析 microRNA(miRNA)水平时忽略组织异质性会导致来自不同细胞类型的未知混合物的平均信号,这很难解释。在这里,我们展示了通过激光显微切割(LMD)获得高质量、定量 miRNA 表达信息所需的技术要求。此外,我们通过应用新开发的将肿瘤组织区室的 LMD 与 RT-qPCR 分析相结合的方案来揭示肿瘤组织异质性的重要性,该方案可以揭示特定于区室的 miRNA 表达特征。这种策略的一个重要优势是,miRNA 特征可以直接与组织病理学相关联。总之,结合 LMD 和 RT-qPCR 是一种用于复杂组织中空间 miRNA 表达分析的强大方法,能够发现疾病机制、生物标志物和药物候选物。