Andelic Mirna, Marchi Margherita, Marcuzzo Stefania, Lombardi Raffaella, Faber Catharina G, Lauria Giuseppe, Salvi Erika
Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy.
School of Mental Health and Neuroscience, Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands.
Mol Ther Methods Clin Dev. 2023 Sep 16;31:101116. doi: 10.1016/j.omtm.2023.101116. eCollection 2023 Dec 14.
Archived specimens, taken by standardized procedures in clinical practice, represent a valuable resource in translational medicine. Their use in retrospective molecular-based studies could provide disease and therapy predictors. Microfluidic array is a user-friendly and cost-effective method allowing profiling of hundreds of microRNAs (miRNAs) from a low amount of RNA. However, even though tissue miRNAs may include potentially robust biomarkers, non-uniformed post-analytical pipelines could hinder translation into clinics. In this study, epidermal RNA from archival skin biopsy specimens was isolated from patients with peripheral neuropathy and healthy individuals. Unbiased miRNA profiling was performed using RT-qPCR-based microfluidic array. We demonstrated that RNA obtained from archival tissue is appropriate for miRNA profiling, providing evidence that different practices in threshold selection could significantly influence the final results. We showed the utility of software-based quality control for amplification curves. We revealed that selection of the most stable reference and the calculation of geometric mean are suitable when utilizing microfluidic arrays without known references. By applying appropriate post-analytical settings, we obtained miRNA profile of human epidermis associated with biological processes and a list of suitable references. Our results, which outline technical and post-analytical considerations, support the broad use of archived specimens for miRNA analysis to unravel disease-specific molecular signatures.
存档标本是在临床实践中通过标准化程序采集的,是转化医学中的宝贵资源。在基于分子的回顾性研究中使用它们可以提供疾病和治疗预测指标。微流控芯片是一种用户友好且经济高效的方法,能够从少量RNA中对数百种微小RNA(miRNA)进行分析。然而,尽管组织miRNA可能包含潜在强大的生物标志物,但分析后流程的不一致可能会阻碍其转化应用于临床。在本研究中,从患有周围神经病变的患者和健康个体的存档皮肤活检标本中分离出表皮RNA。使用基于RT-qPCR的微流控芯片进行无偏倚的miRNA分析。我们证明从存档组织中获得的RNA适用于miRNA分析,提供了证据表明阈值选择中的不同做法可能会显著影响最终结果。我们展示了基于软件的扩增曲线质量控制的实用性。我们揭示了在使用没有已知参考的微流控芯片时,选择最稳定的参考以及计算几何平均值是合适的。通过应用适当的分析后设置,我们获得了与生物过程相关的人类表皮miRNA谱以及一份合适的参考列表。我们的结果概述了技术和分析后考虑因素,支持广泛使用存档标本进行miRNA分析以揭示疾病特异性分子特征。