Designing Life: Synthetic Biology Explained

If traditional engineering modifies what exists, then synthetic biology aims to build entirely new systems. If scientists use standardized parts to create new functions, then they are practicing the constructive approach of synthetic biology.

If a cell's behavior is dictated by its genetic code, then changing that code changes the cell's output. If scientists can write and "boot up" custom DNA, then they are treating life like programmable software.

If engineers need interchangeable parts to build complex machines, then biologists need modular DNA. If these modules are designed to be compatible and reusable, then they are referred to as BioBricks.

If an electronic circuit uses logic to process input into output, then a genetic circuit uses proteins and promoters to regulate gene expression. If these biological interactions follow logical rules, then they function as a genetic circuit.

If a "chassis" is a reliable host organism used to house a synthetic genome, then it must be well-understood and grow easily in a lab. While microbes fit this description, large multicellular mammals like elephants are not used as SynBio chassis.

If scientists chemically synthesized the entire genome of a bacterium and successfully "rebooted" a recipient cell with it, then they created the first synthetic organism. If this occurred in 2010 at the Venter Institute, then the statement is true.

If a cell has 4,000 genes but only needs 400 to survive in a lab, then the extra genes are "clutter." If scientists delete the unnecessary parts to create a streamlined platform, then they have created a minimal genome.

If "xeno-" means foreign, then xenobiology involves foreign chemistry. If researchers design DNA with six bases instead of four (A,T,C,G), then they are expanding the chemical alphabet of life through synthetic biology.

If a project is "rational," it uses data to predict outcomes. If DNA folding, part compatibility, and energy usage affect the success of the system, then they must be calculated; however, the scientist's clothing does not impact biological function.

If artemisinin is naturally made by a plant but is expensive to extract, then a faster method is needed. If scientists insert the plant's metabolic pathway into yeast, then the yeast can act as a bio-factory to produce the drug.

If engineers use CAD to design bridges, then synthetic biologists use similar tools to simulate genetic interactions. If the computer predicts the result, then it is computer-aided design.

If a synthetic system is "orthogonal," then it runs independently of the rest of the cell. If the new system uses its own specific enzymes and signals that the host does not recognize, then it avoids unintended cross-talk or interference.

If we can build custom genomes, then there is a risk of misuse or accidental damage to ecosystems. If these designs are owned by companies, then it raises social issues; however, SynBio cannot cause the sun to explode.

If manual lab work is slow and prone to error, then automation is the solution. If a facility uses robots to assemble DNA and measure cell growth at a massive scale, then it functions as a bio-foundry.

If the system requires Signal A AND Signal B to trigger a promoter, then it follows the logic of an AND gate. This allows for precise control of when a synthetic genome becomes active.

If a researcher only needs the enzymes and ribosomes to see if a circuit works, then the rest of the cell is an unnecessary complication. If they use a "soup" of extracted parts, then they are performing cell-free synthetic biology.

If custom genomes allow microbes to break down pollutants or make fuel, then they solve environmental problems. If plants are more efficient, they save resources; however, making the ocean saltier is not a goal for sustainability.

If a human-designed enzyme is not efficient enough, then "nature" can help fix it. If scientists create variations of the design and select the best ones over many generations, then they are directing the evolution of the part.

If a gene is engineered to copy itself onto the matching chromosome in an embryo, then almost 100% of offspring will have that gene. If this spreads through a wild population, then it is a gene drive.

If the first design of a custom genome fails, then the data from that failure is used to fix the next version. If this cycle repeats (Design-Build-Test-Learn), then the system eventually becomes functional and optimized.