CURO Symposium 2017 Book of Abstracts

Page 205

Abstracts in development. Four of the plants grown were identified as triple mutants, lacking all three of the genes. Further experimentation will be performed to determine the enrichment of these genes for certain histones and the modifications of those histones, as well as the levels different RNA fragments (ps-RNA and m-RNA) in the chromatin and nuclear environments. The model of post-transcriptional splicing will give insight into the machinations of DNA formatting and gene expression.

Dr. Jonathan Arnold, Genetics, Franklin College of Arts and Sciences The biological clock in an organism controls the timing of biological processes from development to behavior. Single cell measurements are taken to determine if genes that are synchronized have the same oscillation frequency in different cells. These gene expression measurements are typically noisy due to two sources of error: the stochastic noise from the cell itself and the detector noise for cell fluorescence. A model has been proposed to propagate the errors of the single cell gene expression measurements to the periodogram and phase distribution. To verify the method, three different sinusoid models were simulated, in which the amplitude, period, or phase was randomized individually. Randomly generated data was used in the simulations of the original experiment, as well as a reconstructed model which mimics an experiment without noise in the measurements. Comparison of the reconstructed model to the propagation model showed that the propagation model estimates the true proportions of variance in the gene expression measurements accurately. This is useful for all gene expression measurements in single cells that possess an oscillatory behavior.

Laboratory Operations Support for Small Satellite Research Laboratory James Hugh Roach, CURO Research Assistant Paul Hwang Dr. Marguerite Madden, Geography, Franklin College of Arts and Sciences As members of the laboratory operations team for the Small Satellite Research Laboratory (SSRL), we provide a wide array of support services and provide necessary infrastructure to ensure mission success. One such vital service is the community outreach and graphics resources provided by our team lead Paul Hwang. Through a process of intensive design, Paul ensures that things like our mission patches and website meet the high levels of aesthetic quality necessary to attract the highest levels of student ability here at the University of Georgia. We also handle the organization of internal lab structure, to include onboarding, leadership hierarchy, internal clearance levels, and more, all of which are vital to smooth operation of the lab. On the technical side, our backend developer, James Roach, ensures all software infrastructure needed by our team is both available and at an acceptable level of stability so our labmates can proceed with their workflows in the most efficient way possible. This software architecture includes, but is not limited to: computational servers, our public website, version control systems, and the digital security of our lab. Our team mission is to provide whatever is needed for the success of our colleagues and the overall SSRL mission objectives.

Analysis of Different Methods for Quantitative Western Blot Analysis in the Avian Model System Logan Ruiz, CURO Research Assistant Dr. Andrew Benson, Poultry Sciences, College of Agricultural and Environmental Sciences Western blotting is a commonly used laboratory practice that can be used to quantify protein levels in samples. One essential consideration for quantitative Western analysis is the amount of protein in each lane, which may vary due to inaccuracies with protein concentration determination, loading volume, or differences in transfer efficiency. To account for these potential differences, the amount of target protein is normalized to the amount of protein present in each lane by using a loading control. A good loading control is one that is co-expressed with target protein within the same sample and consistently expressed between samples. Tubulin, beta-actin and GAPDH have

Propagation of Errors in Single Cell Oscillatory Time Series to the Periodogram Sarah Robinson, CURO Research Assistant 200