ReviewFrontiers in bioengineering and biotechnology2018
Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster.
Review in Frontiers in bioengineering and biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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Who cites it
15 citing papers in PubMed.
- A Theoretical Framework for Implementable Nucleic Acids Feedback Systems.Bioengineering (Basel, Switzerland) · 2023Article
- The Use of Cell-free Protein Synthesis to Push the Boundaries of Synthetic Biology.Biotechnology and bioprocess engineering : BBE · 2023Review
- Mathematical modeling of regulatory networks of intracellular processes - Aims and selected methods.Computational and structural biotechnology journal · 2023Review
- What remains from living cells in bacterial lysate-based cell-free systems.Computational and structural biotechnology journal · 2023Review
- Expanding luciferase reporter systems for cell-free protein expression.Scientific reports · 2022Article
- Article
- Biotechnology Applications of Cell-Free Expression Systems.Life (Basel, Switzerland) · 2021Review
- Effects of Structural Isomers of Spermine on the Higher-Order Structure of DNA and Gene Expression.International journal of molecular sciences · 2021Article
- Multi-Enzyme Assembly on T4 Phage Scaffold.Frontiers in bioengineering and biotechnology · 2020Article
- Modeling Cell-Free Protein Synthesis Systems-Approaches and Applications.Frontiers in bioengineering and biotechnology · 2020Review
- Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology.Frontiers in bioengineering and biotechnology · 2020Article
- Bottom-Up Construction of Complex Biomolecular Systems With Cell-Free Synthetic Biology.Frontiers in bioengineering and biotechnology · 2020Review
- PARAGEN 1.0: A Standardized Synthetic Gene Library for Fast Cell-Free Bacteriocin Synthesis.Frontiers in bioengineering and biotechnology · 2019Article
- Exploring the Potential of Cell-Free Protein Synthesis for Extending the Abilities of Biological Systems.Frontiers in bioengineering and biotechnology · 2019Review
- Future Trends in Synthetic Biology-A Report.Frontiers in bioengineering and biotechnology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-free TX-TL is an increasingly mature and useful platform for prototyping, testing, and engineering biological parts and systems. However, to fully accomplish the promises of synthetic biology, mathematical models are required to facilitate the design and predict the behavior of biological components in cell-free extracts. We review here the latest models accounting for transcription, translation, competition, and depletion of resources as well as genome scale models for lysate-based cell-free TX-TL systems, including their current limitations. These models will have to find ways to account for batch-to-batch variability before being quantitatively predictive in cell-free lysate-based platforms.
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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.