2013
DOI: 10.1038/msb.2013.58
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Design of orthogonal genetic switches based on a crosstalk map of σs, anti‐σs, and promoters

Abstract: The interaction specificities of extracytoplasmic function (ECF) sigma (σ) factors with promoters and their negative regulators (anti-σs) were mapped to identify non-crossreacting parts. These orthogonal sets represent a synthetic biology toolbox of genetic switches.

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Cited by 161 publications
(238 citation statements)
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“…Moreover, unlike the housekeeping σs, recognition of the UP element by the α-subunit of RNAP cannot substitute for the -35 motif, although UP elements do enhance expression from weak promoters (80). This observation has been validated for many ECF σs (81). Interestingly, at the time that this σ group was identified, it was noted that the regions of σ implicated in initiating melting and in recognizing the -10 motif (σ regions 2.3-2.4) were highly divergent from housekeeping σs.…”
Section: A Modified Initiation Strategy Allows the Divergent Alternatmentioning
confidence: 86%
“…Moreover, unlike the housekeeping σs, recognition of the UP element by the α-subunit of RNAP cannot substitute for the -35 motif, although UP elements do enhance expression from weak promoters (80). This observation has been validated for many ECF σs (81). Interestingly, at the time that this σ group was identified, it was noted that the regions of σ implicated in initiating melting and in recognizing the -10 motif (σ regions 2.3-2.4) were highly divergent from housekeeping σs.…”
Section: A Modified Initiation Strategy Allows the Divergent Alternatmentioning
confidence: 86%
“…In the last years, a significant number of ''orthogonal'' (non cross-interacting) transcriptional activators and repressors have been identified and used to construct basic synthetic biological circuits (Rhodius et al 2013;Stanton et al 2014;Nielsen and Voigt 2014). It would therefore be interesting to perform the analysis presented here with transcriptional regulation based on Hill functions.…”
Section: Discussionmentioning
confidence: 99%
“…MicrobesOnline's operon predictions were used, except in cases in which the analyzed genome was not part of that database. In such cases, ECF-encoding operons were defined, as previously (20), as all consecutive genes adjacent to the ECF factor gene in the same orientation and separated by less than 50 nucleotides. Then, BioProspector (21; http://ai.stanford.edu/ϳxsliu/BioProspector/) was used to identify overrepresented motifs in those sequences, mostly as described previously (20).…”
Section: Methodsmentioning
confidence: 99%
“…In such cases, ECF-encoding operons were defined, as previously (20), as all consecutive genes adjacent to the ECF factor gene in the same orientation and separated by less than 50 nucleotides. Then, BioProspector (21; http://ai.stanford.edu/ϳxsliu/BioProspector/) was used to identify overrepresented motifs in those sequences, mostly as described previously (20). The parameter settings used to search for two-block motifs that may not occur in all input sequences and only on their forward strands were as follows: lengths of the upstream and downstream blocks (W and w, respectively), 5 to 7 nucleotides; minimum distance (g) and maximum distance (G) separating the two blocks, 15 to 19 nucleotides and 16 to 20 nucleotides, respectively.…”
Section: Methodsmentioning
confidence: 99%