Department of Biochemistry, University of Illinois, Urbana-Champaign, IL, USA.
Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL, USA.
Methods. 2019 Feb 15;155:131-139. doi: 10.1016/j.ymeth.2018.11.015. Epub 2018 Nov 27.
The regulation of gene expression occurs through complex relationships between transcription, processing, turnover, and translation, which are only beginning to be elucidated. We know that at least for certain messenger (m) RNAs, processing, modifications, and sequence elements can greatly influence their translational output through recognition by translation and turn-over machinery. Recently, we and others have combined high-throughput sequencing technologies with traditional biochemical methods of studying translation to extend our understanding of these relationships. Additionally, there is growing importance given to how these processes may be regulated across varied cell types as a means to achieve tissue-specific expression of proteins. Here, we provide an in-depth methodology for polysome profiling to dissect the composition of mRNAs and proteins that make up the translatome from both whole tissues and a specific cell type isolated from mammalian tissue. Also, we provide a detailed computational workflow for the analysis of the next-generation sequencing data generated from these experiments.
基因表达的调控是通过转录、加工、周转和翻译之间的复杂关系来实现的,这些关系才刚刚开始被阐明。我们知道,至少对于某些信使(m)RNAs,通过翻译和周转机制的识别,加工、修饰和序列元件可以极大地影响它们的翻译输出。最近,我们和其他人将高通量测序技术与传统的生化翻译研究方法结合起来,扩展了我们对这些关系的理解。此外,越来越重视这些过程如何在不同的细胞类型中被调节,作为实现蛋白质组织特异性表达的一种手段。在这里,我们提供了一种深入的多核糖体分析方法,用于从整个组织和从哺乳动物组织中分离的特定细胞类型中分离组成翻译组的 mRNA 和蛋白质的组成。此外,我们还提供了一个详细的计算工作流程,用于分析从这些实验中生成的下一代测序数据。