Davidsen Kristian, Sullivan Lucas B
Human Biology Division, Fred Hutchinson Cancer Center, United States.
Molecular and Cellular Biology Program, University of Washington, United States.
bioRxiv. 2024 Mar 6:2023.07.31.551363. doi: 10.1101/2023.07.31.551363.
Current methods to quantify the fraction of aminoacylated tRNAs, also known as the tRNA charge, are limited by issues with either low throughput, precision, and/or accuracy. Here, we present an optimized charge tRNA-Seq method that combines previous developments with newly described approaches to establish a protocol for precise and accurate tRNA charge measurements. We verify that this protocol provides robust quantification of tRNA aminoacylation and we provide an end-to-end method that scales to hundreds of samples including software for data processing. Additionally, we show that this method supports measurements of relative tRNA expression levels and can be used to infer tRNA modifications through reverse transcription misincorporations, thereby supporting multipurpose applications in tRNA biology.
目前用于量化氨酰化tRNA比例(也称为tRNA荷电)的方法,受到通量低、精密度和/或准确度等问题的限制。在此,我们提出了一种优化的荷电tRNA测序方法,该方法将先前的进展与新描述的方法相结合,以建立一个用于精确和准确测量tRNA荷电的方案。我们验证了该方案能对tRNA氨酰化进行可靠的量化,并提供了一种可扩展到数百个样本的端到端方法,包括用于数据处理的软件。此外,我们表明该方法支持相对tRNA表达水平的测量,并可用于通过逆转录错配掺入来推断tRNA修饰,从而支持tRNA生物学中的多用途应用。