2017
DOI: 10.1093/nar/gkx768
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In silico design of context-responsive mammalian promoters with user-defined functionality

Abstract: Comprehensive de novo-design of complex mammalian promoters is restricted by unpredictable combinatorial interactions between constituent transcription factor regulatory elements (TFREs). In this study, we show that modular binding sites that do not function cooperatively can be identified by analyzing host cell transcription factor expression profiles, and subsequently testing cognate TFRE activities in varying homotypic and heterotypic promoter architectures. TFREs that displayed position-insensitive, additi… Show more

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Cited by 29 publications
(67 citation statements)
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References 83 publications
(107 reference statements)
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“…In this context, synthetic promoters are an attractive alternative as they can be customdesigned to engineer recombinant gene transcription predictably, removing functionally illdefined and uncontrollable elements in expression vectors. Indeed, we have previously reported synthetic promoters that offer stable, precise control of recombinant transcriptional activity in CHO cells (Brown et al 2014(Brown et al , 2017. These genetic constructs were designed by (i) analysis of CHO cell transcription factor (TF) expression profiles, and (ii) determination of the transcription factor regulatory element (TFRE) compositions of commonly utilized viral promoters.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
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“…In this context, synthetic promoters are an attractive alternative as they can be customdesigned to engineer recombinant gene transcription predictably, removing functionally illdefined and uncontrollable elements in expression vectors. Indeed, we have previously reported synthetic promoters that offer stable, precise control of recombinant transcriptional activity in CHO cells (Brown et al 2014(Brown et al , 2017. These genetic constructs were designed by (i) analysis of CHO cell transcription factor (TF) expression profiles, and (ii) determination of the transcription factor regulatory element (TFRE) compositions of commonly utilized viral promoters.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Accordingly, design rules for constructing synthetic elements with desired functionalities can be obtained by either (i) determination of host cell TF repertoires under appropriate experimental conditions, or (ii) analysis of TFRE compositions of endogenous promoters exhibiting suitable expression dynamics. Whilst synthetic promoters have been created for CHO cells by analysis of TF expression levels (Brown et al 2017), CHO genomic (i.e. endogenous TFRE) information has never been utilized, potentially limiting opportunities for synthetic promoter design.…”
Section: Bioinformatic Identification Of Transcription Factor Regulatmentioning
confidence: 99%
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“…A component with this functionality has reportedly been constructed for use in CHO cells. Synthetic promoter 100RPU.1 was specifically designed in silico, using transcription factor binding sites (TFBSs) with requisite functionalities, to exhibit maximal transcriptional activity and long-term expression stability without imposing off-target effects on CHO cell growth or viability (Brown, Gibson, Hatton, & James, 2017).…”
Section: Gene Transcriptionmentioning
confidence: 99%
“…We hypothesized that the output from 100RPU.1 could be enhanced by either increasing the number of TFBSs in the proximal region (limited to 14 in the original design), or replacing the nonengineered minimal core region (taken from the hCMV-IE1 promoter). We therefore (a) constructed a hybrid promoter (100RPU_PH) containing the proximal regions from both 100RPU.1 and a second highly active synthetic part, 100RPU.2 (Brown et al, 2017), and (b) created elements (100RPU.1_SC2, 100RPU.1_SC3, and 100RPU.1_SC4) where the hCMV-IE1 core promoter was substituted by varying "super cores" that are specifically designed to maximize transcription initiation rates (Even et al, 2016;Juven-Gershon et al, 2006; see Supporting Information Figure S1).…”
Section: Gene Transcriptionmentioning
confidence: 99%