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Michael McClelland, PhD, Professor
Dr. McClelland's Publications Director, Cancer Genetics Program
Supervisor of Fred Long BS, in Bioinformatics Core. Supervisor of Xiao Qin Xia. PhD, in Genomics Core. Michael McClelland works in the area of genomics, a field that aims to interpret the language of DNA. DNA methylation: Michael McClelland was the first to describe that the regulatory regions of mammalian genes, called promoters, contain sequences called “CpG islands”. Methylation of these features (addition of a methyl group to the DNA) is important in marking genes for regulation. Dr McClelland studies the alteration of methylation during the dys-regulation of genes that occurs in cancer. As part of this work the McClelland lab constructed the first “promoter microarrays” of DNA fragments from 10,000 promoters and collaborated on the first Chromatin immunoprecipitation-array (ChIP-chip) experiments, which identify proteins bound to promoters in living cells. Prostate cancer prognostics: The McClelland lab is involved in a large multicenter grant to identify gene expression changes in prostate cancer that are associated with increased risk of recurrence of the disease after prostatectomy. The McClelland lab performs the RNA work and much of the bioinformatics for this project. Genomics: Michael McClelland developed the first DNA cleavage methods for making physical maps of DNA molecules millions of bases long. He organizes the sequencing of major pathogens, including Salmonella typhimurium, resulting in papers in Nature and Nature Genetics. The lab provides microarray resources and techniques to over 50 labs worldwide for study of Salmonella genomes, transcription, and mutant library screens. One recent paper in Science coauthored by the McClelland lab describes how Salmonella recruits virulence genes from other bacteria and then uses a global trans-regulator to prevent undesired transcription of these in the absence of environmental cues. Cancer therapy: Harmless variants of Salmonella prefer to reside in tumors over any other location in the human body, by a factor of 1000 or more. These bacteria can cause cancer cures. The lab has engineered improvements in Salmonella as a therapeutic and novel delivery agent in cancer. Newly developed high-throughput tools are used to identify promoters that are turned on only in tumors. Using such specific promoters, cloned foreign therapeutic proteins could be produced only when bacteria reach tumors. In addition, tools have been developed to track thousands of bacterial mutants simultaneously, which allows mutants with favorable characteristics, such as those that accumulate even better in tumors, to be isolated and further engineered. This laboratory is applying high-throughput methods in a number of areas: Program 1: Salmonella Genomics. Objective. Understand the evolution of pathogenesis in Salmonella with the objective of generating principles applicable to other diseases, allowing new methods of treatment, and also exploitation of avirulent strains for human needs. Approaches. A. We have sequenced strains used in laboratory research and are now sequencing 30 more strains that capture the diversity of the species. Understanding sequence diversity:
B. We have developed oligonucleotides microarrays for high-throughput analysis of:
Program 2: Salmonella as a therapeutic delivery agent in cancer. Background. Harmless live vaccine strains of Salmonella naturally accumulate 1000X in tumors. Tumors have lower than normal levels of oxygen, where Salmonella will continue to thrive protected from the immune system. Salmonella may also further deplete oxygen to levels thereby killing and growing on the remains of tumor cells. This leads to cures. Objective. Improve upon the natural ability of Salmonella to kill tumors. In addition, Salmonella can be used to deliver therapeutic agents, such as enzymes for drug metabolism and cytokines. Approaches. In order to understand and improve the ability of Salmonella to kill tumors, and develop this ability for therapeutic use we are taking the following steps:
Program 3: Biomarkers prostate cancer recurrence
after prostatectomy. Objective. Develop prognostic tests to accurately define those patients with progressive disease, so they can be targeted for early aggressive treatment. Approaches. We accumulated clinical data over decades for hundreds of
consented patients. Program 4: DNA methylation biomarkers for cancer progression. Background. For prostate cancer, the sources of materials for prognostics include needle biopsies, blood, and urine, as well as prostatectomies. Prognostic tests can include pathology, DNA, RNA, or protein, or combinations thereof. DNA is more stable than RNA and is found in all of these types of samples. The methylation profile is unaltered in partially degraded DNA after cell death. Objective. Develop a cancer prognosticator based on DNA rather than RNA or protein. Approaches. We developed method that samples hundreds of thousands of DNA methylation loci throughout genome.
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