CellType-SpecificExpression Analysis of the Inner Ear: A Technical Report

被引:9
作者
Hertzano, Ronna [1 ,2 ,3 ]
Gwilliam, Kathleen [1 ]
Rose, Kevin [1 ]
Milon, Beatrice [1 ]
Matern, Maggie S. [1 ]
机构
[1] Univ Maryland, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, 16 S Eutaw St,Suite 500, Baltimore, MD 21201 USA
[2] Univ Maryland, Sch Med, Inst Genome Sci, Baltimore, MD 21201 USA
[3] Univ Maryland, Sch Med, Dept Anat & Neurobiol, Baltimore, MD 21201 USA
基金
美国国家科学基金会;
关键词
Inner ear; transcriptome; RNA-seq; RiboTag; scRNA-seq; GENE-EXPRESSION; RNA; DYNAMICS;
D O I
10.1002/lary.28765
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Objective 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. 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. Results 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 (), collate cell type-specific gene expression from the ear field and provide unprecedented access to both clinicians and researchers. Level of Evidence N/ALaryngoscope, 2020
引用
收藏
页码:S1 / S16
页数:16
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