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基于高通量延伸技术的全基因组范围内 RNA 聚合酶活性测量方法。

Measuring RNA polymerase activity genome-wide with high-resolution run-on-based methods.

机构信息

ERI Biotecmed, Facultad de Biológicas, Universitat de València, C/Dr. Moliner 50, E46100 Burjassot, Spain.

ERI Biotecmed, Facultad de Biológicas, Universitat de València, C/Dr. Moliner 50, E46100 Burjassot, Spain.

出版信息

Methods. 2019 Apr 15;159-160:177-182. doi: 10.1016/j.ymeth.2019.01.017. Epub 2019 Feb 2.

Abstract

The biogenesis of RNAs is a multi-layered and highly regulated process that involves a diverse set of players acting in an orchestrated manner throughout the transcription cycle. Transcription initiation, elongation and termination factors act on RNA polymerases to modulate their movement along the DNA template in a very precise manner, more complex than previously anticipated. Genome-scale run-on-based methodologies have been developed to study in detail the position of transcriptionally-engaged RNA polymerases. Genomic run-on (GRO), and its many variants and refinements made over the years, are helping the community to address an increasing amount of scientific questions, spanning an increasing range of organisms and systems. In this review, we aim to summarize the most relevant high throughput methodologies developed to study nascent RNA by run-on methods, compare their main features, advantages and limitations, while putting them in context with alternative ways of studying the transcriptional process.

摘要

RNA 的生物发生是一个多层次且高度调控的过程,涉及一系列不同的参与者,它们在整个转录周期中以协调的方式发挥作用。转录起始、延伸和终止因子作用于 RNA 聚合酶,以非常精确的方式调节它们沿着 DNA 模板的移动,比以前预期的更为复杂。基于全基因组运行的方法已经被开发出来,以详细研究转录活跃的 RNA 聚合酶的位置。基因组运行(GRO)及其多年来的许多变体和改进,正在帮助科学界解决越来越多的科学问题,涵盖越来越多的生物体和系统。在这篇综述中,我们旨在总结通过运行方法研究新生 RNA 最相关的高通量方法,并比较它们的主要特点、优点和局限性,同时将它们与研究转录过程的替代方法联系起来。

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