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Automated Assembly Of Programmable Rna-based Sensors.

Home
Automated Assembly Of Programmable Rna-based Sensors.

Related Experiment Video

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

Automated Assembly of Programmable RNA-Based Sensors.

James M Robson^1,2, Nery R Arevalos^1,2, Alexander A Green^1,2,3

¹Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States.

ACS Synthetic Biology

|March 18, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

We developed an automated pipeline for rapidly creating RNA sensors, significantly speeding up the design and production of genetic circuits and diagnostic tools.

Keywords:

RNA sensors automation cell-free system cloning diagnostics riboregulators

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Area of Science:

Synthetic Biology
Molecular Biology
Biotechnology

Background:

Engineered programmable RNA sensors are crucial for diagnostics and genetic circuits.
Current methods for RNA sensor design and production are slow and labor-intensive.

Purpose of the Study:

To develop an automated plasmid assembly pipeline for high-throughput construction of RNA sensors.
To evaluate the efficiency and reliability of automated versus manual assembly methods.
To demonstrate the platform's utility by constructing diverse RNA regulators.

Main Methods:

Utilized liquid handling robotics for automated plasmid assembly.
Compared automated and manual assembly methods using the NGS Hamilton Microlab STAR.
Constructed 174 plasmids, including toehold switch riboregulators, single-nucleotide-specific riboregulators, and metal-responsive riboswitches.

Main Results:

Automated assembly proved efficient and reliable compared to manual methods.
Successfully constructed a diverse set of functional programmable RNA regulators.
Demonstrated functionality of assembled toehold switch plasmids in bacterial and cell-free systems.

Conclusions:

The automated pipeline significantly accelerates the creation of RNA sensors.
This platform enables high-throughput construction and screening of RNA-based genetic tools.
The developed methods are applicable to various RNA sensor designs and expression systems.