The Human Leukocyte Antigen (HLA) is a protein on the surface of cells that is a large component of the adaptive immune response as it helps recognize foreign pathogenic material. We wonder if a set of primers designed for each HLA type could be used to amplify a wide spectrum of HLA to improve sequencing of HLA to improve HLA-typing access. We propose the use of an HLA allele panel to determine the pulldown capacity of the primers followed by MinION sequencing and also offer a multiplexing design for running 96 patients at once. Our results show that primers can capture Class I HLA alleles and typing was successful with an average alignment accuracy of 91.7%. In conclusion this method for HLA capture could be utilized for HLA-typing with material costs of under $3.00 per sample within 3 days.

DNA nanotechnology is ideally suited for numerous applications from the crystallization and solution of macromolecular structures to the targeted delivery of therapeutic molecules. The foundational goal of structural DNA nanotechnology was the development of a lattice to host proteins for crystal structure solution. To further progress towards this goal, 36 unique four-armed DNA junctions were designed and crystallized for eventual solution of their 3D structures. While most of these junctions produced macroscale crystals which diffracted successfully, several prevented crystallization. Previous results used a fixed isomer and subsequent investigations adopted an alternate isomer to investigate the impact of these small sequence changes on the stability and structural properties of these crystals. DNA nanotechnology has also shown promise for a variety biomedical applications. In particular, DNA origami has been demonstrated as a promising tool for targeted and efficient delivery of drugs and vaccines due to their programmability and addressability to suit a variety of therapeutic cargo and biological functions. To this end, a previously designed DNA barrel nanostructure with a unique multimerizable pegboard architecture has been constructed and characterized via TEM for later evaluation of its stability under biological conditions for use in the targeted delivery of cargo, including CRISPR-containing adeno-associated viruses (AAVs) and mRNA.

Colorimetric assays are an important tool in point-of-care testing that offers several advantages to traditional testing methods such as rapid response times and inexpensive costs. A factor that currently limits the portability and accessibility of these assays are methods that can objectively determine the results of these assays. Current solutions consist of creating a test reader that standardizes the conditions the strip is under before being measured in some way. However, this increases the cost and decreases the portability of these assays. The focus of this study is to create a machine learning algorithm that can objectively determine results of colorimetric assays under varying conditions. To ensure the flexibility of a model to several types of colorimetric assays, three models were trained on the same convolutional neural network with different datasets. The images these models are trained on consist of positive and negative images of ETG, fentanyl, and HPV Antibodies test strips taken under different lighting and background conditions. A fourth model is trained on an image set composed of all three strip types. The results from these models show it is able to predict positive and negative results to a high level of accuracy.

Neurological manifestations may be more prominent and have a larger role in ankylosing spondylitis than previously thought. Ankylosing Spondylitis is a rheumatic disease primarily identified by its autoinflammatory characteristics and is highly associated with the HLA-B27 gene. While it’s cause is not yet fully understood and it’s symptoms widely vary, neurological impairment is not uncommon. The neurological manifestations of Ankylosing Spondylitis include but are not limited to pain sensitization, altered brain phenotype, and disrupted cardiac conduction. Central and peripheral nervous system involvement may be more significant than previously thought and have the potential to cause demyelinating diseases, spinal cord, and nerve root injuries. Altered connectivity throughout various regions within the brain further exemplify the need for a better understanding of the disease and better treatment development. Higher instances of depression and dementia were also reported and coincide with not only a less active lifestyle, but altered brain activity. Studies on cardiac conduction and arrhythmias in AS patients revealed parasympathetic and sympathetic nervous system dysregulation. These studies have explored the possibility of new targets for treatment involving cardiac mechanisms. Treatments for diseases of a similar suspected pathology, new prospective targets for therapy, and a more thorough understanding of current treatments for the disease may be the key in providing more substantial relief. By further investigation in the role of the nervous system in Ankylosing Spondylitis, the disease may become more manageable for patients and greatly increase quality of life in the future.