ArticleACS synthetic biology2021
Metabolic Dynamics in
Article in ACS synthetic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Characterizing Cell-Free Transcription and Translation Dynamics with Nucleic Acid-Based Assays.ACS synthetic biology · 2026Article
- Cell-Free Gene Expression: Methods and Applications.Chemical reviews · 2025Review
- Challenges in observing transcription-translation for bottom-up synthetic biology.QRB discovery · 2025Review
- A mathematical model of cell-free transcription-translation with plasmid crosstalk.Synthetic biology (Oxford, England) · 2025Article
- Cell-Free Expression of HPV16 Minor Capsid Protein L2 and Its Interaction with S100A10.Protein and peptide letters · 2025Article
- Plasmid Crosstalk in Cell-Free Expression Systems.ACS synthetic biology · 2023Article
- Complex Dependence ofACS synthetic biology · 2023Article
- In Vitro Transcription-Translation in an Artificial Biomolecular Condensate.ACS synthetic biology · 2023Article
- Rapid and Finely-Tuned Expression for Deployable Sensing Applications.Advances in biochemical engineering/biotechnology · 2023Article
- Systems biology-based analysis of cell-free systems.Current opinion in biotechnology · 2022Review
- In vivo, in vitro and in silico: an open space for the development of microbe-based applications of synthetic biology.Microbial biotechnology · 2022Article
- Point-of-Care Analyte Quantification and Digital ReadoutACS synthetic biology · 2021Article
- Effective Use of Linear DNA in Cell-Free Expression Systems.Frontiers in bioengineering and biotechnology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The field of metabolic engineering has yielded remarkable accomplishments in using cells to produce valuable molecules, and cell-free expression (CFE) systems have the potential to push the field even further. However, CFE systems still face some outstanding challenges, including endogenous metabolic activity that is poorly understood yet has a significant impact on CFE productivity. Here, we use metabolomics to characterize the temporal metabolic changes in CFE systems and their constituent components, including significant metabolic activity in central carbon and amino acid metabolism. We find that while changing the reaction starting state
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.