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使用 BioGRO-seq 对酵母中新生转录物进行高分辨率深度测序。

High-Resolution Deep Sequencing of Nascent Transcription in Yeast with BioGRO-seq.

机构信息

Facultad de Biológicas, Departamento de Bioquímica y Biología Molecular, Institut de Biotecnología i Biomedicina (Biotecmed), Universitat de València, Burjassot, Valencia, Spain.

出版信息

Methods Mol Biol. 2022;2477:57-70. doi: 10.1007/978-1-0716-2257-5_4.

Abstract

RNA biogenesis in eukaryotic cells is a tightly regulated multilayered process in which a diverse set of players act in an orchestrated manner via complex molecular interactions to secure the initial flow of gene expression. Transcription from DNA to RNA is the essential first step in RNA biogenesis, and consists of three main phases: initiation, elongation, and termination. In each phase, transcription factors act on RNA polymerases to modulate their passage along the DNA template in a very precise manner, governed by molecular mechanisms, some of which are not yet fully understood. Genome-scale run-on-based methodologies have been developed with the aim of mapping the position of transcriptionally engaged RNA polymerases. Among them, the BioGRO methodology has been instrumental in advancing our understanding of the transcriptional dynamics in yeast. Here we take the previously known BioGRO method further by coupling it with deep sequencing. BioGRO-seq maps elongating RNA polymerases along the genome with strand specificity and single-nucleotide resolution. BioGRO-seq profiling provides insights into the biogenesis and regulation of not just the canonical protein-coding transcriptome, but also into the often more challenging to study noncoding and unstable transcriptome.

摘要

真核细胞中的 RNA 生物发生是一个严格调控的多层次过程,其中一组多样化的参与者通过复杂的分子相互作用以协调的方式发挥作用,以确保基因表达的初始流动。从 DNA 到 RNA 的转录是 RNA 生物发生的基本第一步,它包括三个主要阶段:起始、延伸和终止。在每个阶段,转录因子作用于 RNA 聚合酶以非常精确的方式调节它们沿着 DNA 模板的传递,这受分子机制的控制,其中一些机制尚未完全理解。已经开发了基于全基因组运行的方法学,旨在绘制转录活跃的 RNA 聚合酶的位置。其中,BioGRO 方法在推进我们对酵母中转录动力学的理解方面发挥了重要作用。在这里,我们通过将其与深度测序相结合,进一步改进了先前已知的 BioGRO 方法。BioGRO-seq 以链特异性和单核苷酸分辨率沿基因组绘制延伸的 RNA 聚合酶。BioGRO-seq 分析不仅提供了对规范蛋白编码转录组的生物发生和调控的深入了解,而且还提供了对通常更具挑战性的非编码和不稳定转录组的深入了解。

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