
April 2023: Jacqueline Williams
Jacqueline Williams, a PhD student in the Bioinformatics program and member of the Hollenbach lab, presented her research on characterizing killer cell immunoglobulin-like receptor (KIR) genes in the context of multiple sclerosis.
Multiple sclerosis is a chronic inflammatory disorder that affects the central nervous system, and is likely caused by a combination of genetic, environmental, and molecular factors. The adaptive immune system has been implicated in disease pathogenesis, but more recently natural killer cells and their role in cytotoxicity and cytokine production have been associated with disease. NK cells function through cell-cell interactions mediated by cell surface receptors, most prominent of which are killer cell immunoglobulin-like receptor (KIR) genes that interact with HLA Class I ligands. The KIR complex, spanning 70-250 kbp, is the result of numerous gene duplications throughout human evolution, making it an incredibly diverse genomic region. This diversity includes high gene copy number variation, polymorphic alleles, and sequence similarity between genes. Due to that, characterization of KIR genes in the context of NK cells has been difficult to assess in a high throughput manner. The objective of this proposal is the characterize KIR genes in the context of multiple sclerosis patients by (1) performing an association analysis between KIR multiple sclerosis using a novel bioinformatics pipeline, (2) developing a long read sequencing method to inform haplotypic gene organization, and (3) evaluate binding affinity between KIR, their respective HLA Class I ligand, and foreign peptides