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Related Concept Videos

Types of RNA01:23

Types of RNA

Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA...
Translational Regulation01:29

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
Riboswitches01:56

Riboswitches

Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Related Experiment Video

Updated: Jul 7, 2026

An Assay for Quantifying Protein-RNA Binding in Bacteria
07:02

An Assay for Quantifying Protein-RNA Binding in Bacteria

Published on: June 12, 2019

Genetic Biosensor for Optimizing Double-Stranded RNA Production by Bacteria.

Lucio Navarro-Escalante1, Anthony J VanDieren2, Jeffrey E Barrick1,3

  • 1Department of Microbiology, Genetics, & Immunology, Michigan State University, East Lansing, Michigan 48824, United States.

ACS Synthetic Biology
|July 6, 2026
PubMed
Summary
This summary is machine-generated.

Scientists engineered bacteria to produce double-stranded RNA (dsRNA) for RNA interference (RNAi). A new biosensor tracks dsRNA levels, improving yields for applications like pest control and functional genomics.

Keywords:
Genetically encoded biosensorRNA interferenceSerratia symbioticabimolecular fluorescence complementationparatransgenesissymbiont-mediated RNAi

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Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons
12:20

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Published on: August 6, 2014

Related Experiment Videos

Last Updated: Jul 7, 2026

An Assay for Quantifying Protein-RNA Binding in Bacteria
07:02

An Assay for Quantifying Protein-RNA Binding in Bacteria

Published on: June 12, 2019

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons
12:20

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Published on: August 6, 2014

Area of Science:

  • Microbiology
  • Molecular Biology
  • Biotechnology

Background:

  • Bacteria can be engineered to produce double-stranded RNA (dsRNA) for targeted RNA interference (RNAi) applications.
  • RNAi technology offers potential in pest control, functional genomics, and microbiome engineering.
  • Efficient production of dsRNA in bacteria is crucial for these applications.

Purpose of the Study:

  • To develop a genetically encoded biosensor for quantifying dsRNA levels within bacterial cells.
  • To optimize dsRNA sensor design using viral dsRNA-binding domains and split fluorescent proteins.
  • To demonstrate the utility of the biosensor in enhancing dsRNA accumulation in engineered bacterial symbionts.

Main Methods:

  • Constructed and tested various sensor designs by fusing dsRNA-binding domains to split fluorescent protein fragments in *Escherichia coli*.
  • Utilized bimolecular fluorescence complementation (BiFC) to report relative dsRNA levels.
  • Engineered *Serratia symbiotica* strains, including an RNase III deletion mutant, to assess dsRNA accumulation.

Main Results:

  • Identified optimized dsRNA sensor designs for accurate measurement of dsRNA within bacteria.
  • Demonstrated significantly enhanced dsRNA accumulation in engineered *Serratia symbiotica* strains.
  • Validated the biosensor's capability to facilitate the design-build-test cycle for maximizing bacterial dsRNA production.

Conclusions:

  • The developed genetically encoded biosensor provides a rapid fluorescent readout for bacterial dsRNA levels.
  • This tool accelerates the optimization of dsRNA production in bacteria for RNAi applications.
  • The biosensor supports the development of symbiont-mediated RNAi strategies for microbiome engineering.