Tools to analyze the organization and formation of the germline cyst in zebrafish oogenesis

被引:0
|
作者
Kumar, Vineet [1 ,2 ]
Elkouby, Yaniv M. [1 ,2 ]
机构
[1] Hebrew Univ Jerusalem, Fac Med, Dept Dev Biol & Canc Res, Ein Kerem Campus, IL-9112102 Jerusalem, Israel
[2] Inst Med Res Israel Canada IMRIC, Ein Kerem Campus, IL-9112102 Jerusalem, Israel
来源
DEVELOPMENT | 2023年 / 150卷 / 13期
基金
以色列科学基金会;
关键词
3D deep-learning data; Germ cell development and morphogenesis; Live manipulation by laser-ablation; Microscopy image analysis; Oogenesis; Germline cyst; Zebrafish ovary; STEM-CELLS; BALBIANI BODY; POLYTROPHIC OVARIES; NURSE CELLS; LINE CYSTS; OOCYTE; DIFFERENTIATION; MAINTENANCE; POLARITY; MEIOSIS;
D O I
10.1242/dev.201349
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Oocytes develop in the germline cyst, a cellular organization in which germ cells are tightly interconnected and surrounded by somatic cells. The cyst produces oocytes for follicle formation and is a hub for essential processes in meiosis and oocyte differentiation. However, the formation and organization of the cyst, and their contribution to oocyte production in vertebrates remain unclear. Here, we provide tools for three-dimensional and functional in vivo analyses of the germline cyst in the zebrafish ovary. We describe the use of serial block-face scanning electron microscopy (SBF-SEM) to resolve the threedimensional architecture of cells and organelles in the cyst at ultrastructural resolution. We present a deep learning-based pipeline for high-throughput quantitative analysis of three-dimensional confocal datasets of cysts in vivo. We provide a method for laser ablation of cellular components for manipulating cyst cells in ovaries. These methods will facilitate the investigation of the cyst cellular organization, expand the toolkit for the study of the zebrafish ovary, and advance our understanding of female developmental reproduction. They could also be further applied to the investigation of other developmental systems.
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页数:14
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