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在单细胞分辨率下进行RNA结构分析,揭示了细胞身份的新决定因素

Jiaxu Wang¹, Yu Zhang², Tong Zhang²

¹Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore. wangjx@gis.a-star.edu.sg.

|January 4, 2024

概括

新的单细胞RNA结构探测揭示了细胞特异性的RNA结构. 这种方法比单独的基因表达更好地区分细胞类型,揭示了新的RNA结构-功能见解.

科学领域:

分子生物学分子生物学
遗传学是一个遗传学.
细胞生物学细胞生物学

背景情况:

RNA二次结构在基因调节中起着至关重要的作用.
了解细胞间和细胞内RNA结构的变化是必不可少的,但仍然具有挑战性.

研究的目的:

开发一种方法,以单细胞分辨率确定转录的二次结构和丰度.
研究人类胚胎干细胞和分化神经元中的RNA结构异质性.

主要方法:

开发一种以SHAPE为灵感的方法:单细胞结构探测RNA转录 (scsPRT).
在人类胚胎干细胞和分化神经元上应用scsPRT.

主要成果:

人类胚胎干细胞中的RNA结构比神经元更均,特别是在编码区域.
3'非翻译区域表现出更大的结构异质性,受RNA结合蛋白的影响.
在区分细胞类型和分化阶段,RNA结构概况优于基因表达概况.
鉴定18S核糖体RNA中细胞类型可变区域,与细胞周期和翻译控制相关.

结论:

对RNA转录的单细胞结构探测使得RNA结构和丰度的高分辨率分析成为可能.
RNA结构异质性因细胞类型和基因组区域而异,为调控机制提供了洞察力.
这种方法推进了在单细胞水平上对RNA结构-功能关系的系统研究.

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