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Updated: Feb 14, 2026

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

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Published on: May 21, 2020

Advances in analytical tools for high throughput strain engineering.

Esteban Marcellin¹, Lars Keld Nielsen²

¹Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, St. Lucia 4072, Australia; Queensland Node of Metabolomics Australia, The University of Queensland, St. Lucia 4072, Australia.

Current Opinion in Biotechnology

|February 16, 2018

Summary

This summary is machine-generated.

Genome editing and automation are revolutionizing industrial biotechnology through biofoundries. These pipelines accelerate the development of microbial cell factories, with analytical chemistry enhancing strain engineering capabilities.

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Area of Science:

Industrial biotechnology
Synthetic biology
Genomics

Background:

Genome editing technologies have advanced significantly, enabling precise DNA modifications.
Industrial biotechnology leverages automation, analytics, and data integration for high-throughput strain engineering.
Biofoundries automate the design-build-test cycle for microbial cell factories, improving efficiency over traditional methods.

Purpose of the Study:

To review the progress and advances in analytical tools for high-throughput strain engineering.
To identify remaining bottlenecks in analytical methods for biofoundries.
To explore how enhanced analytics can deepen learning in automated systems biology pipelines.

Main Methods:

Review of current literature on genome editing, biofoundries, and analytical chemistry.
Analysis of the integration of analytical tools within automated strain engineering pipelines.
Discussion of the impact of analytical advancements on the design-build-test cycle.

Main Results:

Biofoundries significantly reduce the time to develop commercially viable microbial strains.
Recent advances in analytical chemistry offer potential for deeper characterization of engineered strains.
Integration of analytics with cellular physiology models can enhance learning and accelerate development.

Conclusions:

Analytical tools are crucial for maximizing the potential of biofoundries in industrial biotechnology.
Further development in analytical chemistry is needed to overcome current bottlenecks in high-throughput strain engineering.
Enhanced analytics will enable more profound insights and faster iteration in the development of microbial cell factories.