Rahmi Lale, Lisa Tietze, Maxime Fages-Lartaud, Jenny Nesje, Ingerid Onsager, Kerstin Engelhardt, Che Fai Alex Wong, Madina Akan, Niklas Hummel, Jörn Kalinowski, Christian Rückert, Martin Frank Hohmann-Marriott
{"title":"A universal approach to gene expression engineering.","authors":"Rahmi Lale, Lisa Tietze, Maxime Fages-Lartaud, Jenny Nesje, Ingerid Onsager, Kerstin Engelhardt, Che Fai Alex Wong, Madina Akan, Niklas Hummel, Jörn Kalinowski, Christian Rückert, Martin Frank Hohmann-Marriott","doi":"10.1093/synbio/ysac017","DOIUrl":null,"url":null,"abstract":"<p><p>In this study, we provide a universal approach to Gene Expression Engineering (GeneEE) for creating artificial expression systems. GeneEE leads to the generation of artificial 5<sup>'</sup> regulatory sequences (ARES) consisting of promoters and 5<sup>'</sup> untranslated regions. The ARES lead to the successful recruitment of RNA polymerase, related sigma factors and ribosomal proteins that result in a wide range of expression levels. We also demonstrate that by engaging native transcription regulators, GeneEE can be used to generate inducible promoters. To showcase the universality of the approach, we demonstrate that 200-nucleotide (nt)-long DNA with random composition can be used to generate functional expression systems in six bacterial species, <i>Escherichia coli, Pseudomonas putida, Corynebacterium glutamicum, Thermus thermophilus, Streptomyces albus</i> and <i>Streptomyces lividans</i>, and the eukaryote yeast <i>Saccharomyces cerevisiae</i>.</p>","PeriodicalId":74902,"journal":{"name":"Synthetic biology (Oxford, England)","volume":" ","pages":"ysac017"},"PeriodicalIF":2.6000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f4/c8/ysac017.PMC9534286.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Synthetic biology (Oxford, England)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/synbio/ysac017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 1
Abstract
In this study, we provide a universal approach to Gene Expression Engineering (GeneEE) for creating artificial expression systems. GeneEE leads to the generation of artificial 5' regulatory sequences (ARES) consisting of promoters and 5' untranslated regions. The ARES lead to the successful recruitment of RNA polymerase, related sigma factors and ribosomal proteins that result in a wide range of expression levels. We also demonstrate that by engaging native transcription regulators, GeneEE can be used to generate inducible promoters. To showcase the universality of the approach, we demonstrate that 200-nucleotide (nt)-long DNA with random composition can be used to generate functional expression systems in six bacterial species, Escherichia coli, Pseudomonas putida, Corynebacterium glutamicum, Thermus thermophilus, Streptomyces albus and Streptomyces lividans, and the eukaryote yeast Saccharomyces cerevisiae.