Tuesday, 1 November 2005 - 4:05 PM
244c

Integrating Genomic, Transcriptomic and Proteomic Information to Understand Rhsa Function

Kunal Aggarwal, Leila H. Choe, and Kelvin H. Lee. School of Chemical and Biomolecular Engineering, Cornell University, 120 Olin Hall, Ithaca, NY 14853

We study the effects of overexpression of rhsA fragments, ORF-ex and dsORF-a1, in E. coli cells. Cell samples induced differentially with IPTG to express these fragments were studied at multiple time points after induction. RhsA expression resulted in a reduced growth rate. DNA microarray experiments revealed that many genes involved in translation and in protein post translational modifications had increased mRNA levels in induced cells. The genes coding for 50S and 30S ribosomal subunit proteins show a more than three folds upregulation in mRNA expression. Proteomic analysis using a shotgun approach suggests a lower overall level of protein expression in rhsA cells. However, proteins involved in translation have an increased expression suggesting an altered translation machinery in these cells. A genome-wide comparison of transcriptomic and proteomic data suggests a non-linear mRNA-protein relationship in E. coli cells. Further, this non-linearity increases with rhsA expression. Ribosome quantitation experiments are used to directly observe the effect of rhsA expression on translation machinery. Transcription factors showing a changed activity are identified using network component analysis. Further, the directionality of change in mRNA and protein expression of various genes, as expression of rhsA changes, is examined to better understand the function of rhsA.

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