MIT team builds most complex synthetic biology circuit yet

MIT researchers have created a new synthetic biology sensor that can detect four different molecules and could be used to program cells to precisely monitor their environments.

Using genes as interchangeable parts, synthetic biologists design cellular circuits that can perform new functions, such as sensing environmental conditions. However, the complexity that can be achieved in such circuits has been limited by a critical bottleneck: the difficulty in assembling genetic components that don’t interfere with each other.

Unlike electronic circuits on a silicon chip, biological circuits inside a cell cannot be physically isolated from one another. “The cell is sort of a burrito. It has everything mixed together,” says Christopher Voigt, an associate professor of biological engineering at MIT.

Mining circuits from genomic islands.

Nature – Genetic programs constructed from layered logic gates in single cells

Voigt and his students have now developed circuit components that don’t interfere with one another, allowing them to produce the most complex synthetic circuit ever built. The circuit, described in the Oct. 7 issue of Nature, integrates four sensors for different molecules. Such circuits could be used in cells to precisely monitor their environments and respond appropriately.

“It’s incredibly complex, stitching together all these pieces,” says Voigt, who is co-director of the Synthetic Biology Center at MIT. Larger circuits would require computer programs that Voigt and his students are now developing, which should allow them to combine hundreds of circuits in new and useful ways.

Previously, Voigt has designed bacteria that can respond to light and capture photographic images, and others that can detect low oxygen levels and high cell density — both conditions often found in tumors. However, no matter the end result, most of his projects, and those of other synthetic biologists, use a small handful of known genetic parts. “We were just repackaging the same circuits over and over again,” Voigt says.

To expand the number of possible circuits, the researchers needed components that would not interfere with each other. They started out by studying the bacterium that causes salmonella, which has a cellular pathway that controls the injection of proteins into human cells. “It’s a very tightly regulated circuit, which is what makes it a good synthetic circuit,” Voigt says.

The pathway consists of three components: an activator, a promoter and a chaperone. A promoter is a region of DNA where proteins bind to initiate transcription of a gene. An activator is one such protein. Some activators also require a chaperone protein before they can bind to DNA to initiate transcription.

The researchers found 60 different versions of this pathway in other species of bacteria, and found that most of the proteins involved in each were different enough that they did not interfere with one another. However, there was a small amount of crosstalk between a few of the circuit components, so the researchers used an approach called directed evolution to reduce it. Directed evolution is a trial-and-error process that involves mutating a gene to create thousands of similar variants, then testing them for the desired trait. The best candidates are mutated and screened again, until the optimal gene is created.

Aindrila Mukhopadhyay, a staff scientist at Lawrence Berkeley National Laboratory, says the amount of troubleshooting the researchers did to create each functional module is impressive. “A lot of people are charmed by the idea of creating complex genetic circuits. This study provides valuable examples of the types of optimizations that they may have to do in order to accomplish such goals,” says Mukhopadhyay, who was not part of the research team.

Layered circuits

To design synthetic circuits so they can be layered together, their inputs and outputs must mesh. With an electrical circuit, the inputs and outputs are always electricity. With these biological circuits, the inputs and outputs are proteins that control the next circuit (either activators or chaperones).

These components could be useful for creating circuits that can sense a variety of environmental conditions. “If a cell needs to find the right microenvironment — glucose, pH, temperature and osmolarity [solute concentration] — individually they’re not very specific, but getting all four of those things really narrows it down,” Voigt says.

The researchers are now applying this work to create a sensor that will allow yeast in an industrial fermenter to monitor their own environment and adjust their output accordingly.

MIT biological engineers created new genetic circuits using genes found in Salmonella (seen here) and other bacteria.
Image: NIH

ABSTRACT – Genetic programs function to integrate environmental sensors, implement signal processing algorithms and control expression dynamics. These programs consist of integrated genetic circuits that individually implement operations ranging from digital logic to dynamic circuits and they have been used in various cellular engineering applications, including the implementation of process control in metabolic networks and the coordination of spatial differentiation in artificial tissues. A key limitation is that the circuits are based on biochemical interactions occurring in the confined volume of the cell, so the size of programs has been limited to a few circuits. Here we apply part mining and directed evolution to build a set of transcriptional AND gates in Escherichia coli. Each AND gate integrates two promoter inputs and controls one promoter output. This allows the gates to be layered by having the output promoter of an upstream circuit serve as the input promoter for a downstream circuit. Each gate consists of a transcription factor that requires a second chaperone protein to activate the output promoter. Multiple activator–chaperone pairs are identified from type III secretion pathways in different strains of bacteria. Directed evolution is applied to increase the dynamic range and orthogonality of the circuits. These gates are connected in different permutations to form programs, the largest of which is a 4-input AND gate that consists of 3 circuits that integrate 4 inducible systems, thus requiring 11 regulatory proteins. Measuring the performance of individual gates is sufficient to capture the behaviour of the complete program. Errors in the output due to delays (faults), a common problem for layered circuits, are not observed. This work demonstrates the successful layering of orthogonal logic gates, a design strategy that could enable the construction of large, integrated circuits in single cells.

36 pages of supplemental information

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