Regensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany.
Biochemistry I, University of Regensburg, Regensburg, Germany.
Nucleic Acids Res. 2023 Jul 21;51(13):e68. doi: 10.1093/nar/gkad459.
Ribosome profiling provides quantitative, comprehensive, and high-resolution snapshots of cellular translation by the high-throughput sequencing of short mRNA fragments that are protected by ribosomes from nucleolytic digestion. While the overall principle is simple, the workflow of ribosome profiling experiments is complex and challenging, and typically requires large amounts of sample, limiting its broad applicability. Here, we present a new protocol for ultra-rapid ribosome profiling from low-input samples. It features a robust strategy for sequencing library preparation within one day that employs solid phase purification of reaction intermediates, allowing to reduce the input to as little as 0.1 pmol of ∼30 nt RNA fragments. Hence, it is particularly suited for the analyses of small samples or targeted ribosome profiling. Its high sensitivity and its ease of implementation will foster the generation of higher quality data from small samples, which opens new opportunities in applying ribosome profiling.
核糖体图谱通过高通量测序短的 mRNA 片段来提供细胞翻译的定量、全面和高分辨率的瞬时快照,这些短的 mRNA 片段被核糖体保护免受核酶消化。虽然整体原理很简单,但核糖体图谱实验的工作流程很复杂,具有挑战性,通常需要大量的样本,限制了其广泛的适用性。在这里,我们提出了一种从低输入样本中超快速核糖体图谱的新方案。它具有一个在一天内完成测序文库制备的强大策略,该策略采用反应中间产物的固相纯化,可将输入量减少到低至 0.1 pmol 左右的 30nt RNA 片段。因此,它特别适合于小样本的分析或靶向核糖体图谱。其高灵敏度和易于实现性将从小样本中生成更高质量的数据,这为核糖体图谱的应用开辟了新的机会。