Hello, I am AnnElise Hardy, a biomedical engineer at Northwestern University, ‘19, and I am working with Elena Rozhkova in the Nanoscience and Technologies Division as part of the larger Artificial Neuron Group led by Chris Fry. The group is working towards creating an artificial neuron, a bio-inspired assembly. The proposed design will place light activated transmembrane proton pumps either taken from the archaea Halobacterium halobium, or created synthetically, on a gold compartmentalized structure in order to create an assembly that can mimic the low-voltage ion flow of a neuron. These “protocells” are the first step in creating an artificial neuron to then be used in neuromorphic computing systems.
Currently, I am working to isolate the proton pumps, each attempt takes a few days and a couple more days to grow more archaea. Our first few attempts were not successful, but we are adapting our procedure to address what we think the problems are. For example, we have increased the amount we distress the cells in order to break up the membranes more. If we cannot achieve isolation directly from the archaea, we will then move to create the pumps in a cell-free synthesis, which Dr. Rozhkova has shown here. The benefit of cell-free synthesis lies in the removal of time- and labor-intensive culturing of the archaea, limiting the issues we have seen in harvesting the pumps at the optimal point of cell growth.
Hello, my name is Beomsoo (Michael) Park ’19 and I am a biomedical engineer at Northwestern University. I am a part of a research group led by Chris Henry focused on developing a new software called KBase, which is a user-friendly program allowing researchers to quickly run genomic analyses to study their own data, rather than relying on other computational scientists to do it for them. KBase allows users to assemble and annotate microbial genomes, build metabolic models, analyze RNA-seq, and overall work with very large quantities of data all at once using “apps” that my Argonne research group designed. KBase has also incorporated numerous other publically available software, such as IDBA, MegaHit, and MetaSPAdes genome assemblies and even quality assessment tools like QUAST. As a new user, my job will be to test KBase to see how compatible and effective the software is. To do this, I will be using KBase to identify unknown species from a large number of soil samples and will eventually write a publication exploring their behaviors by using metabolic modeling and to show off how KBase was used to perform all of the analyses.
I am currently at the stage in my research where I have fully grasped the understandings behind every program and “app” that I will be using. More specifically, I have been able to upload all of the data onto KBase, run three different types of genome assembly methods (IDBA, MegaHit, MetaSPAdes), and use a program called QUAST to identify the possible species in each particular sample. The pie chart attached shows the distribution of species in one particular sample. For now, I focused on working with a smaller group of samples to use the quality assessment tool within metaQUAST to decide which of the three assembly methods I used is the most accurate, so that I could extrapolate and use this “best method” for all of the samples. In the next coming steps, I will be using KBase to build metabolic models and further exploring the microbial behaviors.
From this summer I wish to learn more about computer programming, since I have a very minimal background knowledge on any programming languages, other than Matlab. I also wish to learn more about metabolic modeling, since I am also very new to this area and was intrigued how we could use computers to predict microbial behaviors. I am hoping to use my time in Argonne in the next following weeks to dive deeper into research to further explore my possible career options.
This summer, 12 Northwestern University undergraduates will contribute to research projects across six Argonne divisions through the Northwestern-Argonne Institute of Science and Engineering (NAISE). Their projects span topics including synthetic biology, machine learning, environmental sensing, energy storage, and materials synthesis and characterization.
Students will use this blog to write about new experimental and modeling techniques they learn, new scientific insights, and their overall experience at Argonne this summer.