Charles M. Roth
Department of Chemical & Biochemical Engineering
599 Taylor Road
Piscataway, NJ 08854
Gene-based therapeutics; bioinformatics and systems biology; hepatocyte differentiation; novel strategies for treatment of brain tumors
Molecular Bioengineering of Antisense Oligonucleotides
The sequencing of the human genome is more or less completed, with the promise of great improvements in understanding of human biology and concomitant advances in diagnosis and treatment of disease. Several technologies have emerged to inhibit the expression of specific target genes based on their gene sequence. We are working towards overcoming some of the technical barriers to two of the most promising -- antisense oligonucleotides (AS ONs) and short interfering RNAs (siRNAs). In one project, we have developed a molecular thermodynamic model of DNA:RNA binding that we are using to rationally design AS ONs of high affinity and rapid hybridization kinetics, and we are now investigating the extension of this methodology to siRNA design. In a second project, we use cell-specific ligands and biocompatible polymers to delivery oligonucleotides to cells with improved efficiency and selectivity.
Genomics and Proteomics of Hepatic Function
Efforts to develop "magic bullet" molecular therapeutics have been largely unsuccessful, in large part due to poor understanding of the underlying molecular basis for the disease being treated. Most physiological processes and disease conditions involve the concerted actions of large sets of genes, which may act synergistically, antagonistically, or in sophisticated feedback loops. We use computational and experimental approaches to analyze systems of molecules holistically, in an effort to rationally guide molecular strategies for engineering cell function. One application of this approach is the manipulation of transcription factor expression to confer differentiated function to cultured hepatocytes for tissue engineering applications. Another is the use of promoter binding site preferences and gene expression profiling to analyze dynamic responses of the liver to inflammatory stress.