Using computational modeling and experimental synthetic perturbations to probe biological circuits

BioSin UFMG Club: Engaging a multilevel and multidisciplinary community in synthetic biology

Learning synthetic biology is often seen as a far distant possibility, restricted to those who have the privilege of an academic career. We propose a student-centered discussion group around synthetic biology, aimed at people from high school onwards with different backgrounds to interact and learn about synthetic biology. We developed a 14-week long program with three modules: "Leveling," "Introducing," and "Discussion." By completing the first two modules, the members should be more comfortable with biological names, structures, concepts, and techniques. The modules developed are available in Portuguese, Spanish, and English via the Open Lab Idea Real website (https://ideareal.org/clube-de-biologia-sintetica/) and can be used to implement the Club either in place or virtually around the world. We put it to practice at Universidade Federal de Minas Gerais (UFMG) creating the Club named BioSin. There are programs such as the International Genetically Engineered Machine (iGEM) competition focused on disseminating synthetic biology. Although iGEM is one fantastic way of learning about synthetic biology, there is a high cost. Because of that, a study and discussion Club is a tool to spread knowledge and engage with the study area.

Quality and Capacity Analysis of Molecular Communications in Bacterial Synthetic Logic Circuits

Synthetic logic circuits have been proposed as potential solutions for theranostics of biotechnological problems. One proposed model is the engineering of bacteria cells to create logic gates, and the communication between the bacteria populations will enable the circuit operation. In this paper, we analyze the quality of bacteria-based synthetic logic circuit through molecular communications that represent communication along a bus between three gates. In the bacteria-based synthetic logic circuit, the system receives environmental signals as molecular inputs and will process this information through a cascade of synthetic logic gates and free diffusion channels. We analyze the performance of this circuit by evaluating its quality and its relationship to the channel capacity of the molecular communications links that interconnect the bacteria populations. Our results show the effect of the molecular environmental delay and molecular amplitude differences over both the channel capacity and circuit quality. Furthermore, based on these metrics, we also obtain an optimum region for the circuit operation resulting in an accuracy of 80% for specific conditions. These results show that the performance of synthetic biology circuits can be evaluated through molecular communications, and lays the groundwork for combined systems that can contribute to future biomedical and biotechnology applications.