2019
DOI: 10.15252/msb.20198875
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Multiplex transcriptional characterizations across diverse bacterial species using cell‐free systems

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 regu… Show more

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Cited by 62 publications
(77 citation statements)
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“…In recent years the number of cell-free transcription-translation (TX-TL) systems from different organisms has grown rapidly (Zemella et al, 2015;Perez et al, 2016;Gregorio et al, 2019). The most common lysate systems include E. coli, insect, yeast, Chinese hamster ovary, rabbit reticulocyte, wheat germ, and human HeLa cells; and newly emerging systems include B. subtilis (Kelwick et al, 2016;Yim et al, 2019), V. natriegens (Failmezger, 2018;Yim et al, 2019), and P. putida (Wang et al, 2018;Yim et al, 2019), among others (Yim et al, 2019). Hybrid systems composed from multiple sources have also recently emerged (Anastasina et al, 2014;Panthu et al, 2018;Yim et al, 2019).…”
Section: Lysates and Reconstituted Cell-free Systemsmentioning
confidence: 99%
“…In recent years the number of cell-free transcription-translation (TX-TL) systems from different organisms has grown rapidly (Zemella et al, 2015;Perez et al, 2016;Gregorio et al, 2019). The most common lysate systems include E. coli, insect, yeast, Chinese hamster ovary, rabbit reticulocyte, wheat germ, and human HeLa cells; and newly emerging systems include B. subtilis (Kelwick et al, 2016;Yim et al, 2019), V. natriegens (Failmezger, 2018;Yim et al, 2019), and P. putida (Wang et al, 2018;Yim et al, 2019), among others (Yim et al, 2019). Hybrid systems composed from multiple sources have also recently emerged (Anastasina et al, 2014;Panthu et al, 2018;Yim et al, 2019).…”
Section: Lysates and Reconstituted Cell-free Systemsmentioning
confidence: 99%
“…Foundational discoveries in functional genomics, cellular metabolism and natural product synthesis are also important, because they might inspire novel biosynthetic pathway designs for biological materials production. In synthetic biology, cell-free metabolic engineering (CF-ME) approaches can reconstitute entire biosynthetic pathways using either cell extracts from diverse species, engineered cells and/or cellfree synthesized recombinant enzymes (Karim and Jewett, 2018;Martin et al, 2018;Yim et al, 2019;Bowie et al, 2020) (Figure 1). Also, cell-free protein synthesis and cell extract biotransformation reactions can be combined to create more complex cell-free reactions (Karim and Jewett, 2018;Kelwick et al, 2018).…”
Section: Cell-free Strategies For Sustainable Materials Biomanufacturingmentioning
confidence: 99%
“…Indeed, several studies have successfully utilized acoustic liquid handling robots to rapidly setup large-scale, low-volume (≤10 µl) prototyping cell-free reactions in a 384 well plate format (Moore et al, 2018;Kopniczky et al, 2020). Microfluidic (Swank et al, 2019), droplet array or multiplex (Yim et al, 2019) strategies have also been used to enable high-throughput cell-free experiments. These approaches enable the testing of large numbers of regulatory elements or enzymes, which could potentially inform material biosynthetic pathway optimization.…”
Section: Automated Design-cycles For Cell-free Biological Materialsmentioning
confidence: 99%
“…Accordingly, we developed a method to rapidly characterize large libraries of genomeintegrated promoters that combines the efficiency of SAGE integration with a modified version of the high-throughput sequencing (HTS) transcription profiling method described by Yim, et al 57 . We apply this method, described briefly below, to characterize a collection of 287 synthetic and natural promoters (Supplementary File T1) in P. fluorescens (Fig.…”
Section: Sage Enables High-throughput Analysis Of Genome Integrated Pmentioning
confidence: 99%