HEKcite

HEKcite: A single cell biosensor that uses electrical membrane oscillations to detect the concentration of any biomolecule in seconds.

Project Summary

As part of the KU Leuven 2017 iGEM team, we genetically engineered a single cell capable of measuring concentrations of many biomolecules. I was the originator of the idea and led the scientific component of the project, including patch-clamp experiments. The inspiration came from the sinus node in the heart– a small group of cells that have a fixed frequency of electrical membrane oscillations that adapts to molecules such as adrenaline (epinephrine) and acetylcholine in seconds.

We proved that with only three genetically transfected ion channel expressions, you could create a stable rythm in a single cell. We further showed that by affecting the channels responsible for slow repolarization (HCN), you could affect the frequency of oscillation. In theory, you could transfect this cell with a 4th ion channel that is targeted at the specific biomolecule you want to measure, such as blood glucose sensitive ion channels found in the pancreas, and create a single cell biosensor for almost any molecule.

In three months, we went from idea to an in-silico proof of concept and in-vitro results. Our team won the “Best New Application Project” at the international jamboree, beating over 20 other university teams in its track.

Mathematical Model

As a first step of validating our theory of creating a oscillating biosensor, we created a mathematical model of a single cell with ion channels that were reflecting of the three ion channels we wanted to use.

As you see in the picture, we were successfully able to produce this by taking a heart mathematical cell model, knocking out most genes and adapting the physics parameters of the three genes with the most similarity to the genes we intended to use for our project.

More info can be found here: https://2017.igem.org/Team:KU_Leuven/Model

Cellular Proof of Concept

We transfected HEK293 cells so that they would express α1G, hERG and HCN2. Afterwards, we used patch-clamp to measure the oscillating electrical potential (see Figure above) of the cell. Finally, we showed that the rhythm changed by influencing the HCN2 ion channel conductance as a proof-of-concept we could measure different biomolecules.

Read more: https://2017.igem.org/Team:KU_Leuven/Demonstrate

Publication: Online & Master Thesis

All of the data from this research project is published online and is open-source in the spirit of the iGEM competition. You can read more on our official team website here:

https://2017.igem.org/Team:KU_Leuven/

Additionally, I wrote my master paper for my Masters in Medicine on this project:

Master Thesis: Bioengineering electrically oscillating cells and their potential application in medicine.