A multiwell plate approach to increase the sample throughput during tissue clearing.

IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Fumito Akiyama, Katsuhiko Matsumoto, Katsunari Yamashita, Akio Oishi, Takashi Kitaoka, Hiroki R Ueda
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引用次数: 0

Abstract

Tissue clearing, coupled with immunostaining, enables the transition from two-dimensional to three-dimensional pathology and has the potential to substantially improve data quality for biomedical diagnostics. Nevertheless, the workflows are limited by the complex sample processing protocols. Approaches for the parallel processing of samples, to include tissue clearing, immunostaining, imaging and analysis can increase three-dimensional pathology throughput. Here we detail a step-by-step approach that combines a tissue clearing device with a six-well multiwell plate to increase the throughput compared with methods using conventional clearing protocols. The six-well multiplate allows for parallel tissue clearing of multiple samples and is compatible with passive tissue clearing methods including Clear, Unobstructed Brain/Body Imaging Cocktails and Computational (CUBIC) analysis. In addition, gel embedding is performed without moving the samples from the wells, and a series of steps such as imaging with a high-speed light-sheet microscope and analysis in the cloud can be performed. Although this procedure slightly extends the overall time required for preparing and analyzing a single sample, it reduces the effort required at each step, such as reagent exchange and gel embedding, which results in an overall reduction in hands-on time due to the parallel sample processing. We describe a series of whole-organ analyses, including high-throughput tissue clearing, staining, gel embedding, imaging and data analysis in the cloud, as a useful platform for cellular biology and pathology. The total process varies depending on the presence or absence of immunostaining, but for some six-well plates, the tissue clearing process, imaging and data analysis can be completed within 10 d.

一种多孔板方法,以增加组织清除过程中的样品通量。
组织清除与免疫染色相结合,能够从二维病理学过渡到三维病理学,并有可能大大提高生物医学诊断的数据质量。然而,工作流程受到复杂的样本处理协议的限制。样品的平行处理方法,包括组织清除、免疫染色、成像和分析,可以增加三维病理吞吐量。在这里,我们详细介绍了一种逐步的方法,将组织清除装置与六孔多孔板相结合,与使用传统清除方案的方法相比,可以提高通量。六孔多板允许多个样品的平行组织清除,并与被动组织清除方法兼容,包括清晰,无阻碍脑/身体成像鸡尾酒和计算(CUBIC)分析。此外,凝胶包埋无需将样品从井中移出,并且可以执行一系列步骤,例如使用高速光片显微镜成像和云中分析。虽然该程序稍微延长了制备和分析单个样品所需的总时间,但它减少了每个步骤所需的工作量,例如试剂交换和凝胶包埋,由于并行样品处理,这导致总体上减少了动手时间。我们描述了一系列的全器官分析,包括高通量组织清除、染色、凝胶包埋、成像和云中的数据分析,作为细胞生物学和病理学的有用平台。整个过程取决于是否有免疫染色,但对于一些六孔板,组织清除过程、成像和数据分析可以在10天内完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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