Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Burden-aware feedback control of microbial consortia.

Nature communications·2026

Same author

Quantum spin resonance in engineered proteins for multimodal sensing.

Nature·2026

Same author

Overcoming the Speed Limit of Four-Way DNA Branch Migration with Bulges in Toeholds.

Nano letters·2025

Same author

Investigating the Potential of Division of Labor in Synthetic Bacterial Communities for the Production of Violacein.

ACS synthetic biology·2025

Same author

Model-guided gene circuit design for engineering genetically stable cell populations in diverse applications.

Journal of the Royal Society, Interface·2025

Same author

A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits.

Nature communications·2024

Search research articles

Related Experiment Video

Updated: Sep 23, 2025

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

A linear programming-based strategy to save pipette tips in automated DNA assembly.

Kirill Sechkar¹, Zoltan A Tuza¹, Guy-Bart Stan¹

¹Department of Bioengineering, Imperial College London, London SW7 2AZ, UK.

Synthetic Biology (Oxford, England)

|May 11, 2022

Summary

This study introduces a new strategy to optimize DNA assembly by reducing pipette tip usage in liquid-handling robots. The method significantly cuts costs and improves efficiency in synthetic biology research.

Keywords:

DNA assembly automation linear programming pipette tip consumption minimization

More Related Videos

High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots

High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots

Published on: June 11, 2013

Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana

Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana

Published on: April 30, 2018

Related Experiment Videos

Last Updated: Sep 23, 2025

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots

High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots

Published on: June 11, 2013

Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana

Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana

Published on: April 30, 2018

Area of Science:

Synthetic Biology
Bioengineering
Computational Biology

Background:

Laboratory automation and mathematical optimization are crucial for advancing synthetic biology.
Existing algorithms optimize DNA construct design and synthesis, but reaction mix preparation is underexplored.

Purpose of the Study:

To minimize pipette tip consumption during robotic DNA assembly.
To develop an optimization strategy for preparing DNA assembly reaction mixes.

Main Methods:

Formulated the problem as a linear programming model based on the capacitated vehicle routing problem.
Developed an algorithm utilizing a linear programming solver for mix preparation.

Main Results:

The algorithm effectively reduces pipette tip usage in DNA assembly.
Demonstrated up to [Formula: see text] reduction in tip consumption in large-scale scenarios.
Validated in both random and real-world DNA assembly cases.

Conclusions:

The proposed strategy significantly enhances DNA assembly efficiency through automated process optimization.
Combines robotic liquid handling with algorithmic optimization for improved synthetic biology workflows.
Offers a valuable tool for reducing resource consumption in DNA assembly.