a system for global analysis of correlation between protein expression and mrna

Department: Bioengineering
Faculty Advisor(s): Sheng Zhong

Primary Student
Name: Kara Lynn Johnson
Email: kljohnso@ucsd.edu
Phone: 858-822-5649
Grad Year: 2018

The influence of mRNA abundance on protein expression continues to be a topic of significant interest and debate. In various systems, the correlations between these molecules has been reported to be anywhere from 20-70%. Many of these studies have been conducted in complex, in vivo systems, and assayed just a fraction of the genes present due to difficulties in quantitation of many proteins simultaneously. Our approach is to examine this relationship as the result of a single translational event, in a global manner, and without the additional factors introduced by in vivo systems. We created a protein library whose constituents can be decoded by next generation sequencing using cDNA display techniques, a synthetic, bacterial based, translation system, and an expression library derived from an mRNA population. This data, along with sequencing data from the precursor mRNA library, allow for a correlation analysis across all genes contained within the mRNA library. Preliminary results indicates that in this system, ~60% of the variance in protein expression can be explained by mRNA abundance. To determine the stability of the correlation, we modified the translation sequences in the gene library and reanalyzed the protein to mRNA relationship; variations in the correlation reflect the influence of the translational sequences on the protein expression. This system can be utilized to explore the mRNA and protein relationship for wild-type translational systems, or to evaluate the effects of modifications or synthetic sequences.

Industry Application Area(s)
Life Sciences/Medical Devices & Instruments

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