High-sensitivity whole-mount in situ Hybridization of Mouse Oocytes and Embryos Visualizes the Super-resolution Structures and Distributions of mRNA Molecules

IF 3.7 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Takahiro Sanada, Tomoya Kotani
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引用次数: 0

Abstract

Mammalian oocytes accumulate more than ten thousand mRNAs, of which three to four thousand mRNAs are translationally repressed. The timings and sites of translational activation of these dormant mRNAs are crucial for promoting oocyte maturation and embryonic development. How these mRNAs are accumulated and distributed in oocytes is therefore a fundamental issue to be explored. A method that enables visualization of mRNA molecules with high resolution in a simple manner would be valuable for understanding how oocytes accumulate and regulate the dormant mRNAs. We have developed a highly sensitive whole-mount in situ hybridization method using in vitro-synthesized RNA probes and the tyramide signal amplification (TSA) system optimized for mouse oocytes and embryos. By using this method, Pou5f1/Oct4, Emi2, and cyclin B1 mRNAs were detected in immature oocytes and 2-cell stage embryos. Confocal microscopy showed that these mRNAs formed granular structures in the oocyte cytoplasm. The structures of Pou5f1/Oct4 and cyclin B1 mRNAs persisted in 2-cell stage embryos. Pou5f1/Oct4 RNA granules exhibited a solid-like property in immature oocytes and became liquid-like droplets in 2-cell stage embryos. Double-staining of cyclin B1 mRNA with Emi2 or Pou5f1/Oct4 mRNA revealed that these mRNAs were distributed as different RNA granules without overlapping each other and that the size of cyclin B1 RNA granules tended to be larger than that of Emi2 RNA granules. The structures and distribution patterns of these mRNAs were further analyzed by N-SIM super-resolution microscopy. This analysis revealed that the large-sized RNA granules consist of many small-sized granules, suggesting the accumulation and regulation of dormant mRNAs as basal-sized RNA granules. The method established in this study can easily visualize the structure and distribution of mRNAs accumulated in mammalian oocytes and embryos with high sensitivity and super-resolution. This method is useful for investigating the cellular and molecular mechanisms of translational control of mRNAs by which maturation and early developmental processes are promoted.
小鼠卵母细胞和胚胎的高灵敏度全装原位杂交可视化 mRNA 分子的超分辨率结构和分布
哺乳动物卵母细胞积累了一万多个 mRNA,其中三四千个 mRNA 受到翻译抑制。这些休眠 mRNA 的翻译激活时间和地点对促进卵母细胞成熟和胚胎发育至关重要。因此,这些 mRNA 如何在卵母细胞中积累和分布是一个需要探索的基本问题。一种能以简单的方式实现高分辨率 mRNA 分子可视化的方法对了解卵母细胞如何积累和调控休眠 mRNA 非常有价值。我们利用体外合成的 RNA 探针和专为小鼠卵母细胞和胚胎优化的酪胺信号放大(TSA)系统,开发了一种高灵敏度的整装原位杂交方法。通过这种方法,在未成熟卵母细胞和2细胞期胚胎中检测到了Pou5f1/Oct4、Emi2和细胞周期蛋白B1 mRNA。共聚焦显微镜显示,这些 mRNA 在卵母细胞胞质中形成颗粒状结构。Pou5f1/Oct4 和细胞周期蛋白 B1 mRNA 的结构在 2 细胞期胚胎中持续存在。Pou5f1/Oct4 RNA颗粒在未成熟卵母细胞中呈固态,而在2细胞期胚胎中则变成液滴状。细胞周期蛋白 B1 mRNA 与 Emi2 或 Pou5f1/Oct4 mRNA 的双重染色显示,这些 mRNA 分布为不同的 RNA 颗粒,互不重叠,而且细胞周期蛋白 B1 RNA 颗粒的大小往往大于 Emi2 RNA 颗粒。N-SIM 超分辨率显微镜进一步分析了这些 mRNA 的结构和分布模式。该分析表明,大尺寸的 RNA 颗粒由许多小尺寸的颗粒组成,这表明休眠 mRNA 是以基底尺寸的 RNA 颗粒的形式积累和调控的。本研究建立的方法能以高灵敏度和超分辨率轻松观察哺乳动物卵母细胞和胚胎中积累的 mRNA 的结构和分布。这种方法有助于研究促进成熟和早期发育过程的 mRNA 翻译控制的细胞和分子机制。
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
Biological Procedures Online
Biological Procedures Online 生物-生化研究方法
CiteScore
10.50
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: iological Procedures Online publishes articles that improve access to techniques and methods in the medical and biological sciences. We are also interested in short but important research discoveries, such as new animal disease models. Topics of interest include, but are not limited to: Reports of new research techniques and applications of existing techniques Technical analyses of research techniques and published reports Validity analyses of research methods and approaches to judging the validity of research reports Application of common research methods Reviews of existing techniques Novel/important product information Biological Procedures Online places emphasis on multidisciplinary approaches that integrate methodologies from medicine, biology, chemistry, imaging, engineering, bioinformatics, computer science, and systems analysis.
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