Combinatorial optimization of protein systems in synthetic cells
Marijn van den BrinkiD, Nico J. ClaassensiD, Christophe DaneloniD
Abstract
In vitro reconstitution of protein systems - e.g., metabolic pathways, genetic circuits or biosensors - often requires optimization to enhance their activity. Combinatorial DNA libraries that simultaneously target multiple genes allow for a holistic optimization strategy by studying the interplay between the systems components, which may reveal DNA variants that would be hidden when testing each element in isolation. Here, we screen large populations of synthetic vesicles that express combinatorial DNA variants of a DNA self-replicator or a phospholipid synthesis pathway. We simultaneously vary the strengths of multiple RBSs or synonymously mutate the first codons of multiple genes to explore the effects of the protein translation rates directly on the functionality of the two core synthetic cell modules. We isolated high performers through DNA self-selection or functional screening by fluorescence-activated cell sorting. Long-read sequencing of the fittest variants informed on the optimal RBS strengths and base substitutions in the first codons and indicated which genes were most impactful in regulating the functionality of the protein systems. Single-mutation data were used to predict the fitness of combinatorial variants, which was compared with the experimental fitness observed. The theoretical fitness of combinatorial variants was extremely predictive for the two-gene library of the DNA replicator but less for the larger pathway library. Altogether, our approach exemplifies how combinatorial testing can be expanded from single proteins to multiprotein systems, which can in the future be extended to the evolutionary engineering of even larger genetic and metabolic networks, and eventually an entire artificial cell. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=68 SRC="FIGDIR/small/707944v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@7029e4org.highwire.dtl.DTLVardef@1ce778forg.highwire.dtl.DTLVardef@b61b3org.highwire.dtl.DTLVardef@13b6215_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- FWCI
- 2.05
- Field percentile
- top 10%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Efficient Search, Mapping, and Optimization of Multi-protein Genetic Systems in Diverse Bacteria
Iman Farasat, Manish Kushwaha, … Howard M Salis·bioRxiv·Aug 5, 2014
- A Low-Cost, High-Throughput Design-Build-Test Pipeline for Engineering Genetic Systems: Stress Testing with Complex Structural Proteins
Harry E. Adamson, James R. McLellan, … Howard M. Salis·bioRxiv·Jun 9, 2026
- Functional selection in a population of synthetic cells with a minimal metabolism
Thibault Di Méo, Louis Bunel, … Yannick Rondelez·bioRxiv·Aug 25, 2025
- One-pot cloning and protein expression platform for genetic engineering
Wakana Sato, Judee Sharon, … Katarzyna P. Adamala·bioRxiv·Aug 28, 2025
- Automated Synthetic Cell-based Screening for Designed Proteins with Emergent Functions
Kareem Al Nahas, Béla P. Frohn, … Petra Schwille·Nature CommunicationsPeer-reviewed·Aug 15, 2026
- Autocatalytic selection of gene functions in vitro
Laura Sierra Heras, Christophe Danelon·bioRxiv·Aug 25, 2025