Cell Type-Specific Expression Analysis of the Inner Ear: A Technical Report.
Cell Type-Specific Expression Analysis of the Inner Ear: A Technical Report.
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内耳的细胞类型特异性表达分析：技术报告。
DOI：
10.1002/lary.28765
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发表时间：
2021-09
期刊：
影响因子：
--
通讯作者：
Matern MS
中科院分区：
文献类型：
--
作者：
Hertzano R;Gwilliam K;Rose K;Milon B;Matern MS
内耳的细胞多样性在获得对其发育和功能的分子洞察方面提出了技术挑战。细胞类型特异性表达技术进步的应用使临床医生和研究人员能够从经典遗传学飞跃到获得先天性和获得性听力损失的机制理解。这种理解对于开发预防和逆转包括听力损失在内的内耳疾病的治疗方法至关重要。本研究的目的是描述和比较耳细胞类型特异性分析的可用工具，作为支持研究设计决策的一种手段。使用已发表的和原始的数据，比较和对比了用于耳的细胞类型特异性分析的三种主要方法，包括荧光激活细胞分选（FACS）、核糖体和RNA下拉技术以及单细胞RNA-seq（scRNA-seq）。我们展示了这些方法的优点和缺点，从而得出一个必然的结论，即为了最大限度地利用这些方法，重要的是要将实验方法与组织来源，感兴趣的细胞类型和生物学问题相匹配。通常，需要组合方法（例如，使用2种单独方法的细胞分选和scRNA-seq或表达分析）。最后，用于复杂表达数据的可视化和分析的新工具，如gestion平台（umgear.org），整理了来自耳领域的细胞类型特异性基因表达，并为临床医生和研究人员提供了前所未有的访问。
The cellular diversity of the inner ear has presented a technical challenge in obtaining molecular insight into its development and function. The application of technological advancements in cell type–specific expression enable clinicians and researchers to leap forward from classic genetics to obtaining mechanistic understanding of congenital and acquired hearing loss. This understanding is essential for development of therapeutics to prevent and reverse diseases of the inner ear, including hearing loss. The objective of this study is to describe and compare the available tools for cell type–specific analysis of the ear, as a means to support decision making in study design. Three major approaches for cell type–specific analysis of the ear including fluorescence-activated cell sorting (FACS), ribosomal and RNA pulldown techniques, and single cell RNA-seq (scRNA-seq) are compared and contrasted using both published and original data. We demonstrate the strength and weaknesses of these approaches leading to the inevitable conclusion that to maximize the utility of these approaches, it is important to match the experimental approach with the tissue of origin, cell type of interest, and the biological question. Often, a combined approach (eg, cell sorting and scRNA-seq or expression analysis using 2 separate approaches) is required. Finally, new tools for visualization and analysis of complex expression data, such as the gEAR platform (umgear.org), collate cell type–specific gene expression from the ear field and provide unprecedented access to both clinicians and researchers.
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影响因子：
46.9
作者：
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通讯作者：
Newell, Evan W.
影响因子：
4.5
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56.9
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通讯作者：
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影响因子：
8.8
作者：
Genga, Ryan M. J.;Kernfeld, Eric M.;Maehr, Rene
通讯作者：
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