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      Multiplex transcriptional characterizations across diverse bacterial species using cell‐free systems

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          Abstract

          Cell‐free expression systems enable rapid prototyping of genetic programs in vitro. However, current throughput of cell‐free measurements is limited by the use of channel‐limited fluorescent readouts. Here, we describe DNA Regulatory element Analysis by cell‐Free Transcription and Sequencing ( DRAFTS), a rapid and robust in vitro approach for multiplexed measurement of transcriptional activities from thousands of regulatory sequences in a single reaction. We employ this method in active cell lysates developed from ten diverse bacterial species. Interspecies analysis of transcriptional profiles from > 1,000 diverse regulatory sequences reveals functional differences in promoter activity that can be quantitatively modeled, providing a rich resource for tuning gene expression in diverse bacterial species. Finally, we examine the transcriptional capacities of dual‐species hybrid lysates that can simultaneously harness gene expression properties of multiple organisms. We expect that this cell‐free multiplex transcriptional measurement approach will improve genetic part prototyping in new bacterial chassis for synthetic biology.

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          Most cited references61

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          ARDB—Antibiotic Resistance Genes Database

          The treatment of infections is increasingly compromised by the ability of bacteria to develop resistance to antibiotics through mutations or through the acquisition of resistance genes. Antibiotic resistance genes also have the potential to be used for bio-terror purposes through genetically modified organisms. In order to facilitate the identification and characterization of these genes, we have created a manually curated database—the Antibiotic Resistance Genes Database (ARDB)—unifying most of the publicly available information on antibiotic resistance. Each gene and resistance type is annotated with rich information, including resistance profile, mechanism of action, ontology, COG and CDD annotations, as well as external links to sequence and protein databases. Our database also supports sequence similarity searches and implements an initial version of a tool for characterizing common mutations that confer antibiotic resistance. The information we provide can be used as compendium of antibiotic resistance factors as well as to identify the resistance genes of newly sequenced genes, genomes, or metagenomes. Currently, ARDB contains resistance information for 13 293 genes, 377 types, 257 antibiotics, 632 genomes, 933 species and 124 genera. ARDB is available at http://ardb.cbcb.umd.edu/.
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            Broccoli: Rapid Selection of an RNA Mimic of Green Fluorescent Protein by Fluorescence-Based Selection and Directed Evolution

            Genetically encoded fluorescent ribonucleic acids (RNAs) have diverse applications, including imaging RNA trafficking and as a component of RNA-based sensors that exhibit fluorescence upon binding small molecules in live cells. These RNAs include the Spinach and Spinach2 aptamers, which bind and activate the fluorescence of fluorophores similar to that found in green fluorescent protein. Although additional highly fluorescent RNA–fluorophore complexes would extend the utility of this technology, the identification of novel RNA–fluorophore complexes is difficult. Current approaches select aptamers on the basis of their ability to bind fluorophores, even though fluorophore binding alone is not sufficient to activate fluorescence. Additionally, aptamers require extensive mutagenesis to efficiently fold and exhibit fluorescence in living cells. Here we describe a platform for rapid generation of highly fluorescent RNA–fluorophore complexes that are optimized for function in cells. This procedure involves selection of aptamers on the basis of their binding to fluorophores, coupled with fluorescence-activated cell sorting (FACS) of millions of aptamers expressed in Escherichia coli. Promising aptamers are then further optimized using a FACS-based directed evolution approach. Using this approach, we identified several novel aptamers, including a 49-nt aptamer, Broccoli. Broccoli binds and activates the fluorescence of (Z)-4-(3,5-difluoro-4-hydroxybenzylidene)-1,2-dimethyl-1H-imidazol-5(4H)-one. Broccoli shows robust folding and green fluorescence in cells, and increased fluorescence relative to Spinach2. This reflects, in part, improved folding in the presence of low cytosolic magnesium concentrations. Thus, this novel fluorescence-based selection approach simplifies the generation of aptamers that are optimized for expression and performance in living cells.
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              Synthetic biology to access and expand nature's chemical diversity.

              Bacterial genomes encode the biosynthetic potential to produce hundreds of thousands of complex molecules with diverse applications, from medicine to agriculture and materials. Accessing these natural products promises to reinvigorate drug discovery pipelines and provide novel routes to synthesize complex chemicals. The pathways leading to the production of these molecules often comprise dozens of genes spanning large areas of the genome and are controlled by complex regulatory networks with some of the most interesting molecules being produced by non-model organisms. In this Review, we discuss how advances in synthetic biology--including novel DNA construction technologies, the use of genetic parts for the precise control of expression and for synthetic regulatory circuits--and multiplexed genome engineering can be used to optimize the design and synthesis of pathways that produce natural products.
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                Author and article information

                Contributors
                hw2429@columbia.edu
                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                10.1002/(ISSN)1744-4292
                MSB
                msb
                Molecular Systems Biology
                John Wiley and Sons Inc. (Hoboken )
                1744-4292
                14 August 2019
                August 2019
                : 15
                : 8 ( doiID: 10.1002/msb.v15.8 )
                : e8875
                Affiliations
                [ 1 ] Department of Systems Biology Columbia University New York NY USA
                [ 2 ] Integrated Program in Cellular, Molecular, and Biomedical Studies Columbia University New York NY USA
                [ 3 ] Department of Immunology Memorial Sloan Kettering Cancer Center New York NY USA
                [ 4 ] Department of Biological Sciences Columbia University New York NY USA
                [ 5 ] School of Physics and Astronomy University of Minnesota Minneapolis MN USA
                [ 6 ] Department of Pathology and Cell Biology Columbia University New York NY USA
                [ 7 ]Present address: Department of Bioengineering Stanford University Stanford CA USA
                Author notes
                [*] [* ]Corresponding author. Tel: +1 212 305 1697; E‐mail: hw2429@ 123456columbia.edu
                [†]

                These authors contributed equally to this work

                Author information
                https://orcid.org/0000-0001-5060-0344
                https://orcid.org/0000-0003-3004-1084
                https://orcid.org/0000-0003-2164-4318
                Article
                MSB198875
                10.15252/msb.20198875
                6692573
                31464371
                3fce4cfb-7d5c-43fe-81c5-ae27697cab68
                © 2019 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 February 2019
                : 01 July 2019
                : 03 July 2019
                Page count
                Figures: 5, Tables: 0, Pages: 15, Words: 10643
                Funding
                Funded by: National Science Foundation NSF
                Award ID: MCB‐1453219
                Award ID: DGE‐1644869
                Funded by: HHS|NIH|National Institute of General Medical Sciences NIGMS
                Award ID: U01GM110714‐01A1
                Funded by: NIH/NIAID
                Award ID: 1R01AI132403‐01
                Funded by: DOD|Defense Advanced Research Projects Agency DARPA
                Award ID: HR0011‐17‐C‐0068
                Funded by: DOD|United States Navy|ONR|Office of Naval Research Global ONRG
                Award ID: N00014‐15‐1‐2704
                Award ID: N00014‐13‐1‐0074
                Funded by: Alfred P. Sloan Foundation
                Award ID: FR‐2015‐65795
                Funded by: Human Frontier Science Program HFSP
                Award ID: RGP0037/2015
                Funded by: National Research Foundation of Korea NRF
                Award ID: NRF‐2017R1A6A3A03003401
                Categories
                Method
                Methods
                Custom metadata
                2.0
                msb198875
                August 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.7 mode:remove_FC converted:14.08.2019

                Quantitative & Systems biology
                cell‐free expression systems,gene expression,massively parallel reporter assay,synthetic biology,transcription,synthetic biology & biotechnology,microbiology, virology & host pathogen interaction

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