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Updated: Jul 14, 2025

Measurements of Physiological Stress Responses in C. Elegans
Published on: May 21, 2020
Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli
Yiming Huang1, Anil Wipat1, Jaume Bacardit1
1Interdisciplinary Computing and Complex BioSystems Group, Newcastle University, Newcastle upon Tyne, UK.
Abstract:
Foreign proteins are produced by introducing synthetic constructs into host bacteria for biotechnology applications. This process can cause resource competition between synthetic circuits and host cells, placing a metabolic burden on the host cells which may result in load stress and detrimental physiological changes. Consequently, the host bacteria can experience slow growth, and the synthetic system may suffer from suboptimal function. To help in the detection of bacterial load stress, we developed machine-learning strategies to select a minimal number of genes that could serve as biomarkers for the design of load stress reporters. We identified pairs of biomarkers that showed discriminative capacity to detect the load stress states induced in 41 engineered Escherichia coli strains.
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