Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

 PMID:31128776  

Design, cloning and characterization of transcription factor-based inducible gene expression systems.

Erik K R Hanko | Nigel P Minton | Naglis Malys
Methods in enzymology | 2019

Cellular functions are often controlled by small molecular weight molecules such as metabolites. Microorganisms, mainly prokaryotes, have evolved sensing and regulatory mechanisms based on transcriptional regulators (TRs) that are able to activate gene expression in response to changes in intra- and extracellular metabolite (ligand) concentrations. To understanding control mechanisms and cell factory development in synthetic biology applications, high throughput analytical procedures are required. In this chapter, we outline a methodological pipeline to design and build reporter constructs enabling the characterization of metabolite-responsive inducible gene expression systems. As an example, we present the design, cloning and characterization of the itaconate-inducible system which is composed of the LysR-type transcriptional regulator ItcR and the promoter Pccl from Yersinia pseudotuberculosis. Fluorescence-based plate reader and flow cytometry assays are described and the steps for performing data analysis are provided.

Pubmed ID: 31128776

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/L013940/1

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


RegPrecise (tool)

RRID:SCR_002149

Collection of manually curated inferences of regulons in prokaryotic genomes. Database for capturing, visualization and analysis of transcription factor regulons that were reconstructed by comparative genomic approach in wide variety of prokaryotic genomes.

View all literature mentions