Suppr超能文献

过表达密码子优化凝血因子 IX 的 HEK293T 细胞的核糖体谱分析。

Ribosome profiling of HEK293T cells overexpressing codon optimized coagulation factor IX.

机构信息

Center for Biologics Evaluation and Research, Food and Drug Administration, USA, Silver Spring, MD, 20993, USA.

National Center of Biotechnology Information, National Institutes of Health, USA, Bethesda, MD, 20892, USA.

出版信息

F1000Res. 2020 Mar 10;9:174. doi: 10.12688/f1000research.22400.2. eCollection 2020.

Abstract

Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and RNA-seq data (total RNA sequencing). The two HEK293T cell lines each express a version of the gene, both of which are translated into identical proteins in terms of their amino acid sequences. However, these genes vary drastically in their codon usage and predicted mRNA structure. We also provide the pipeline that we used to analyze the data. Further analyzing this dataset holds great potential as it can be used i) to unveil insights into the composition and regulation of the transcriptome, ii) for comparison with other ribosome profiling datasets, iii) to measure the rate of protein synthesis across the proteome and identify differences in elongation rates, iv) to discover previously unidentified translation of peptides, v) to explore the effects of codon usage or codon context in translational kinetics and vi) to investigate cotranslational folding. Importantly, a unique feature of this dataset, compared to other available ribosome profiling data, is the presence of the gene in two very distinct coding sequences.

摘要

核糖体图谱提供了在密码子水平解析评估翻译动力学的机会。在这里,我们描述了从两个 HEK293T 细胞系生成的核糖体图谱数据。核糖体图谱数据由 Ribo-seq(核糖体保护片段的 mRNA 测序数据)和 RNA-seq 数据(总 RNA 测序)组成。这两个 HEK293T 细胞系都表达了一种 基因的版本,它们在氨基酸序列上都翻译成相同的蛋白质。然而,这些 基因在密码子使用和预测的 mRNA 结构方面差异很大。我们还提供了我们用于分析数据的管道。进一步分析这个数据集具有很大的潜力,因为它可以用于:i)揭示转录组的组成和调控的见解,ii)与其他核糖体图谱数据集进行比较,iii)测量整个蛋白质组的蛋白质合成率,并确定延伸率的差异,iv)发现以前未被识别的肽翻译,v)探索密码子使用或密码子环境对翻译动力学的影响,以及 vi)研究共翻译折叠。重要的是,与其他可用的核糖体图谱数据相比,这个数据集的一个独特特征是 基因存在于两个非常不同的编码序列中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c5/7509821/2c0d5fd68632/f1000research-9-29425-g0000.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验