Furia Laura, Pelicci Simone, Perillo Federica, Bolognesi Maddalena M, Pelicci Pier Giuseppe, Facciotti Federica, Cattoretti Giorgio, Faretta Mario
Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Front Oncol. 2022 Oct 13;12:960734. doi: 10.3389/fonc.2022.960734. eCollection 2022.
multiplexing analysis and transcriptomics are now providing revolutionary tools to achieve the comprehension of the molecular basis of cancer and to progress towards personalized medicine to fight the disease. The complexity of these tasks requires a continuous interplay among different technologies during all the phases of the experimental procedures. New tools are thus needed and their characterization in terms of performances and limits is mandatory to reach the best resolution and sensitivity. We propose here a new experimental pipeline to obtain an optimized costs-to-benefits ratio thanks to the alternate employment of automated and manual procedures during all the phases of a multiplexing experiment from sample preparation to image collection and analysis. A comparison between ultra-fast and automated immunofluorescence staining and standard staining protocols has been carried out to compare the performances in terms of antigen saturation, background, signal-to-noise ratio and total duration. We then developed specific computational tools to collect data by automated analysis-driven fluorescence microscopy. Computer assisted selection of targeted areas with variable magnification and resolution allows employing confocal microscopy for a 3D high resolution analysis. Spatial resolution and sensitivity were thus maximized in a framework where the amount of stored data and the total requested time for the procedure were optimized and reduced with respect to a standard experimental approach.
多重分析和转录组学如今正在提供革命性的工具,以实现对癌症分子基础的理解,并朝着抗击该疾病的个性化医疗迈进。这些任务的复杂性要求在实验过程的所有阶段,不同技术之间持续相互作用。因此需要新工具,并且对其性能和局限性进行表征对于达到最佳分辨率和灵敏度至关重要。我们在此提出一种新的实验流程,通过在多重实验从样品制备到图像采集与分析的所有阶段交替使用自动化和手动程序,以获得优化的成本效益比。已对超快速自动化免疫荧光染色和标准染色方案进行了比较,以在抗原饱和度、背景、信噪比和总时长方面比较性能。然后,我们开发了特定的计算工具,通过自动分析驱动的荧光显微镜收集数据。计算机辅助选择具有可变放大倍数和分辨率的目标区域,使得能够采用共聚焦显微镜进行三维高分辨率分析。因此,在一个相对于标准实验方法而言,存储数据量和该流程所需总时间均得到优化和减少的框架内,空间分辨率和灵敏度得以最大化。