Characterizing Cell-Free Transcription and Translation Dynamics with Nucleic Acid–Based Assays
Fernanda Piorino, Chad Sundberg, Elizabeth A. Strychalski, Eugenia Romantseva

TL;DR
This paper introduces a new framework for measuring and comparing the performance of cell-free expression systems using nucleic acid-based assays.
Contribution
The study presents an accessible and comprehensive measurement framework for characterizing transcription and translation dynamics in cell-free systems.
Findings
The framework enables time-course measurements of both endogenous and exogenous reactions in CFE systems.
Metrics computed from the framework allow for quantitative comparison of different CFE systems.
Low-performing systems were analyzed to assess the sensitivity and effectiveness of the framework.
Abstract
Characterization of cell-free expression (CFE) systems must expand beyond single spectrophotometric measurements of a green fluorescent protein to provide meaningful metrics of system performance during a CFE reaction and enable the development of predictable and reproducible CFE technologies. To date, comprehensive characterization of these systems has posed a formidable measurement challenge, as it requires time-course measurements of reactions involving endogenous components in addition to transcription and translation of a target genetic circuit added exogenously to the CFE reaction. To provide more informative characterization that is still easy to conduct and complements current practices, we demonstrate a measurement framework for transcription and translation dynamics. We use different nucleic acid templates to characterize a suite of Escherichia coli extracts prepared in-house,…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsRNA and protein synthesis mechanisms · Gene Regulatory Network Analysis · Microbial Metabolic Engineering and Bioproduction
