Synthetic Gene Networks
Synthetic Gene Networks - Related Videos
09:52
Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks
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Cited by 10 •
2014
Flow chambers used in adhesion experiments typically consist of linear flow paths and require multiple experiments at different flow rates to generate a shear adhesion map. SynVivo-SMN enables the generation of shear adhesion map using a single experiment utilizing microliter volumes resulting in significant savings in time and consumables.
14:06
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
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Cited by 9 •
2012
Systematic, large-scale synthetic genetic (gene-gene or epistasis) interaction screens can be used to explore genetic redundancy and pathway cross-talk. Here, we describe a high-throughput quantitative synthetic genetic array screening technology, termed eSGA that we developed for elucidating epistatic relationships and exploring genetic interaction networks in Escherichia coli.
07:28
Synthetic Biology
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2023
This video presents synthetic biology and its role in bioengineering. Synthetic biology refers to the methods used to genetically modify organisms in order to make them capable of producing large quantities of a product. This product could be a protein that the cell already makes or a new protein that has been encoded in a newly-inserted DNA sequence. Here, we discuss how an organism's genetic material is modified using transformation or transfection. Then, the process is shown in the...
21:55
Engineering and Evolution of Synthetic Adeno-Associated Virus (AAV) Gene Therapy Vectors via DNA Family Shuffling
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Cited by 35 •
2012
We demonstrate the basic technique to molecularly engineer and evolve synthetic Adeno-associated viral (AAV) gene therapy vectors via DNA family shuffling. Moreover, we provide general guidelines and representative examples for selection and analysis of individual chimeric capsids with enhanced properties on target cells in culture or in mice.
15:28
Engineering Adherent Bacteria by Creating a Single Synthetic Curli Operon
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Cited by 4 •
2012
The design of a synthetic operon encoding both the secretory apparatus and the structural monomers of curli fibers is described. Overproduction of these amyloids and adherent polymers allows a measurable gain of adherence of the E. coli chassis1. Easy ways to visualize and quantify adherence are explained.
FAQs
These components regulate when and how strongly target genes are expressed. Promoters provide control regions, transcription factors influence transcription, and regulatory RNAs add another layer of gene regulation. Combining them allows a circuit to connect molecular inputs with specific expression outputs, giving researchers control over cellular responses rather than relying on naturally occurring regulatory relationships.
Feedback loops connect a network’s output back to its regulatory components. Depending on how the connections are arranged, feedback can help produce sustained or changing expression patterns, including oscillation. In engineered circuits, these loops are therefore important for shaping the timing and stability of responses rather than simply turning a target gene on or off.
A network can combine regulatory interactions so that gene expression depends on particular molecular conditions or combinations of inputs. This information-processing behavior enables cells to detect signals and activate or repress selected genes under specified circumstances. Such logic-like control helps translate molecular information into defined cellular behaviors, including sensing, pattern formation, and controlled protein production.
Design begins by modeling the intended regulatory circuit and specifying how inputs should affect target genes. Researchers then assemble compatible elements such as promoters, transcription factors, regulatory RNAs, and feedback connections. The resulting network is evaluated according to whether it produces the planned behavior, such as signal-responsive expression, oscillation, or another defined cellular outcome.
Synthetic gene networks support biosensing, controlled protein production, pattern formation, and studies of cellular decision-making. They also contribute to therapeutic development and biomanufacturing by providing programmable control over engineered cells. These applications use the same core principle of linking molecular detection and regulatory processing to a defined biological response.
In bioengineering, these networks provide a framework for programming both engineered microbes and mammalian cells. Their regulatory circuits can be designed to respond to specified molecular signals or to control production of selected proteins. This makes them useful across research, therapeutic development, and biomanufacturing, while also supporting investigations of how cells make regulatory decisions.