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深度转录学揭示了泛神经元基因的细胞特异异型

Zachery Wolfe¹, David Liska², Adam Norris³

¹Department of Biological Sciences, Southern Methodist University, Dallas, TX 75205, United States.

bioRxiv : the preprint server for biology

|June 3, 2024

概括

这项研究绘制了C. elegans单个神经元中的拼接模式,揭示了细胞特异变体和差异性内子保留. 它确定了调节这些独特拼接模式的RNA结合蛋白,以更好地了解神经分子多样性.

科学领域:

神经科学是一个神经科学.
分子生物学分子生物学
基因组学就是基因组学.

背景情况:

单细胞RNA测序 (scRNA-Seq) 对于理解神经系统的分子多样性至关重要.
在单个神经元中对替代拼接进行分析是具有挑战性的,因为灵敏度低,捕获效率低.
与基因表达相比,神经元间的剪接模式和调节仍然不太了解.

研究的目的:

研究C. elegans神经元中的深层细胞特异性转录组,重点研究替代拼接.
为了实现跨神经元类型的拼接的高可靠性评估,即使是低表达基因.
开发用于识别细胞特异性异构体和调节性RNA结合蛋白的方法.

主要方法:

利用C. elegans神经系统和CeNGEN联盟数据进行生物复制.
生成全球拼接地图以分析神经元类型特定的拼接模式.
开发和应用一种算法来识别细胞特异性表达模式和调控因素.
在体内对已识别的RNA结合蛋白进行基因检查.
开发一个平台,用于拼接模式的空间转录图形化可视化.

主要成果:

发现了具有细胞特异拼接变异的泛神经元基因.
在不同类型的神经元中识别丰富的差异性内子保留.
一个单个神经元的表征,对上游的替代3'连接部位进行丰富.
识别新型RNA结合蛋白,以确定细胞特异的拼接模式.
验证控制单个神经元中独特拼接的三个不同的调节因素.

结论:

这项研究提供了C. elegans神经元的全面拼接地图,突出了显著的细胞特异性变异.
确定了新的调节性RNA结合蛋白及其在建立神经元特定拼接模式中的作用.
开发了一个新的平台,以单个神经元分辨率可视化空间转录组学,帮助未来的研究.

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