NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Characterizing Cell-Free Transcription and Translation Dynamics with Nucleic Acid-Based Assays
Published
Author(s)
Fernanda Piorino Macruz de Oliveira, Chad Alan Sundberg, Elizabeth Strychalski, Eugenia Romantseva
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 over the course of a CFE reaction and enable the development of predictable and reproducible CFE technologies. To date, comprehensive characterization of these systems has posed a formidable metrology challenge, as it requires time-course measurements of extraneous reactions involving endogenous components in addition to transcription and translation of a target gene added exogenously to the CFE reaction. Seeking to provide more informative characterization that is still easy to conduct and complements current quality control, we present a measurement framework for transcription and translation dynamics. We use different nucleic acid templates to characterize a suite of extracts prepared in house, as well as extracts and reconstituted systems available commercially. Notably, we include measurements of low-performing systems to probe the sensitivity of our measurement framework and elucidate metrics indicative of system performance. For all these CFE systems, we compute reaction metrics to enable quantitative comparison. We believe this is an accessible measurement framework that can complement existing characterization practices, provide informative data for developing CFE technologies, and be adopted for routine characterization.
Piorino Macruz de Oliveira, F.
, Sundberg, C.
, Strychalski, E.
and Romantseva, E.
(2025),
Characterizing Cell-Free Transcription and Translation Dynamics with Nucleic Acid-Based Assays, ACS Synthetic Biology
(Accessed October 14, 2025)