JUN 08, 2016 10:33 AM PDT

Live Cells Can Compute Using Gene Circuits

WRITTEN BY: Carmen Leitch
Cells in nature have to respond to environmental stimuli with a complex repertoire of responses. In effect, they make computations that require processing that is both analog, like adjusting to a gradual change in temperature, or digital in nature, like when a cell initiates division or death.
 Genetically engineered cells typically comprises a cascade of three exchangeable modules, that is, the sensors that detect surrounding chemicals, light, pH, heat, etc., plus internal information processing circuits for integrating the various input signals and making a logic decision, and lastly, output actuators for producing reporters, toxins, chemicals, drugs, growth changes, etc.
In contrast, as synthetic systems modeling biology have been developed, the focus has been on replicating either digital or analogue processing, not both at once. This has made for limitations in their use. Innovative work done by a group at Massachusetts Institute of Technology (MIT) and published in Nature Communications now demonstrates the integration of those two disparate types of actions. That breakthrough will allow for the creation of gene circuits that are adept at performing complicated computing tasks.
 
Such synthetic circuitry would thus be able to sense the magnitude of some analogue input, make a determination about the proper reaction to that level, and then have an appropriate output to the situation.
 
For example, circuits that might be designed in the future may be used to monitor levels of glucose in the blood, and then respond in a variety of ways depending on what the concentration was. “If the glucose level was too high you might want your cells to produce insulin, if the glucose was too low you might want them to make glucagon, and if it was in the middle you wouldn’t want them to do anything,” says Timothy Lu, Associate Professor in the Department of Electrical Engineering and Computer Science at MIT and leader of the research team that did this work.
 
“Most of the work in synthetic biology has focused on the digital approach, because [digital systems] are much easier to program,” Lu says.
 
Digital computing systems are based on binary output like 0 or 1, so executing complex operations requires a large number of parts to carry them out, a feature that is very challenging for artificial biological systems.
 
“Digital is basically a way of computing in which you get intelligence out of very simple parts, because each part only does a very simple thing, but when you put them all together you get something that is very smart,” Lu explains. “But that requires you to be able to put many of these parts together, and the challenge in biology, at least currently, is that you can’t assemble billions of transistors like you can on a piece of silicon,” he continues.
      The low-threshold H2O2 comparator circuit: OxyR is constitutively expressed and activates transcription of bxb1 recombinase in response to H2O2. Bxb1 inverts the gfp expression cassette thus turning on GFP expression. The gfp cassette can cleave the 5?-untranslated region of an mRNA transcript (RiboJ)61, a computationally designed RBS62, the gfp-coding sequence and a transcriptional terminator.
The scientists thus created a module with multiple elements. One will sense amounts – an analogue input – and the other element controls the response – the digital output. In this case, the response element is a recombinase gene, capable of turning expression of a particular gene on or off by inverting it. So to put it all together, the concentration of a chemical reaches a particular level, causing the threshold module to express the recombinase, which flips the DNA segment. That segment contains a regulatory element or gene that then changes the expression of some specific output.
 
“So this is how we take an analogue input, such as a concentration of a chemical, and convert it into a 0 or 1 signal,” Lu says. “And once that is done, and you have a piece of DNA that can be flipped upside down, then you can put together any of those pieces of DNA to perform digital computing,” he explains.
 
For starters, the research team is testing the concept of using analogue-to-digital converters to monitor inflammation in the gut caused by dysfunction such as inflammatory bowel disease, and releasing varying amounts of a drug treatment in response.
 
Another idea is to engineer immune cells used for cancer treatment to detect different environmental conditions, like tumor lysis or oxygen levels, and alter their therapeutic action in response.

Learn more about engineering and programming gene circuits in the video below.

 
Sources: MIT, Nature Communications
 
About the Author
  • Experienced research scientist and technical expert with authorships on 28 peer-reviewed publications, traveler to over 60 countries, published photographer and internationally-exhibited painter, volunteer trained in disaster-response, CPR and DV counseling.
You May Also Like
AUG 11, 2018
Videos
AUG 11, 2018
Hit The Sweet Spot - MIT's Image Awards
MIT researchers are trying to engineer a smarter insulin....
SEP 10, 2018
Genetics & Genomics
SEP 10, 2018
In Autism, Background Mutations can Impact Disease Severity
While people are made from the same genes, small changes in those genes can have an impact on our biology....
SEP 13, 2018
Cannabis Sciences
SEP 13, 2018
The Physiology of the Munchies
It's known that marijuana makes people crave food in a phenomenon commonly called the munchies; until now, we didn't know much about why....
SEP 27, 2018
Genetics & Genomics
SEP 27, 2018
Learning What Causes Algae Blooms to Turn Toxic
According to the EPA, algal blooms threaten every state and in our changing climate, they may be more common....
OCT 02, 2018
Cell & Molecular Biology
OCT 02, 2018
Approved Drug may Slow the Progression of Alzheimer's
For many, Alzheimer's disease is just a fact of old age; around 50 percent of people that live to age 85 will get the disorder....
OCT 15, 2018
Cell & Molecular Biology
OCT 15, 2018
Revealing Fat's Role in Diabetes Development
New research may change how we look at type 2 diabetes, an acquired disease....
Loading Comments...