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一种与高通量测序相结合的报告系统揭示了关键的细菌转录和翻译决定因素。

A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants.

作者信息

Yus Eva, Yang Jae-Seong, Sogues Adrià, Serrano Luis

机构信息

Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Doctor Aiguader 88, Barcelona, 08003, Spain.

Universitat Pompeu Fabra (UPF), Barcelona, Spain.

出版信息

Nat Commun. 2017 Aug 28;8(1):368. doi: 10.1038/s41467-017-00239-7.

Abstract

Quantitative analysis of the sequence determinants of transcription and translation regulation is relevant for systems and synthetic biology. To identify these determinants, researchers have developed different methods of screening random libraries using fluorescent reporters or antibiotic resistance genes. Here, we have implemented a generic approach called ELM-seq (expression level monitoring by DNA methylation) that overcomes the technical limitations of such classic reporters. ELM-seq uses DamID (Escherichia coli DNA adenine methylase as a reporter coupled with methylation-sensitive restriction enzyme digestion and high-throughput sequencing) to enable in vivo quantitative analyses of upstream regulatory sequences. Using the genome-reduced bacterium Mycoplasma pneumoniae, we show that ELM-seq has a large dynamic range and causes minimal toxicity. We use ELM-seq to determine key sequences (known and putatively novel) of promoter and untranslated regions that influence transcription and translation efficiency. Applying ELM-seq to other organisms will help us to further understand gene expression and guide synthetic biology.Quantitative analysis of how DNA sequence determines transcription and translation regulation is of interest to systems and synthetic biologists. Here the authors present ELM-seq, which uses Dam activity as reporter for high-throughput analysis of promoter and 5'-UTR regions.

摘要

转录和翻译调控序列决定因素的定量分析与系统生物学和合成生物学相关。为了识别这些决定因素,研究人员开发了不同的方法,利用荧光报告基因或抗生素抗性基因筛选随机文库。在此,我们实施了一种名为ELM-seq(通过DNA甲基化监测表达水平)的通用方法,该方法克服了此类经典报告基因的技术局限性。ELM-seq使用DamID(将大肠杆菌DNA腺嘌呤甲基化酶作为报告基因,结合甲基化敏感的限制性酶切和高通量测序)来实现对上游调控序列的体内定量分析。利用基因组简化的细菌肺炎支原体,我们证明ELM-seq具有较大的动态范围且毒性最小。我们使用ELM-seq来确定影响转录和翻译效率的启动子和非翻译区的关键序列(已知的和推测的新序列)。将ELM-seq应用于其他生物体将有助于我们进一步理解基因表达并指导合成生物学。DNA序列如何决定转录和翻译调控的定量分析是系统生物学家和合成生物学家感兴趣的。本文作者介绍了ELM-seq,它利用Dam活性作为报告基因对启动子和5'非翻译区进行高通量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6254/5573727/a59335dfa590/41467_2017_239_Fig1_HTML.jpg

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