Abstract Title

Single Molecule Simulations and Modeling Of Transcription, Splicing And Release In Living Cells

Disciplines

Biological and Chemical Physics

Abstract

The focus of my project was to develop analytical and computational models of RNA transcription and splicing inside of living cells. I read and analyzed a paper on biological diffusion by (Digman and Gratton 2009). Based on the paper, I was able to replicate some of the figures found in it as well as generate a simple model of a particle diffusing along a line using Python programming. I was able to step up into the realm of Dr. Ferguson’s work using a paper and related data from(Coulon et al. 2014). By fitting this data with the model presented in the paper, it is a simple step to translate the fitting code to Dr. Ferguson’s novel adaptation of Fluorescence Correlation Spectroscopy to the visualization and analysis of transcription and splicing. This research directly benefits patients suffering from AML and hairy cell leukemia by showing molecular mechanisms leading to disease.

Comments

Poster #W16

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Single Molecule Simulations and Modeling Of Transcription, Splicing And Release In Living Cells

The focus of my project was to develop analytical and computational models of RNA transcription and splicing inside of living cells. I read and analyzed a paper on biological diffusion by (Digman and Gratton 2009). Based on the paper, I was able to replicate some of the figures found in it as well as generate a simple model of a particle diffusing along a line using Python programming. I was able to step up into the realm of Dr. Ferguson’s work using a paper and related data from(Coulon et al. 2014). By fitting this data with the model presented in the paper, it is a simple step to translate the fitting code to Dr. Ferguson’s novel adaptation of Fluorescence Correlation Spectroscopy to the visualization and analysis of transcription and splicing. This research directly benefits patients suffering from AML and hairy cell leukemia by showing molecular mechanisms leading to disease.