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Full-Text Articles in Genetics and Genomics
Proteomic Analysis Of Iron Acquisition, Metabolic And Regulatory Responses Of Yersinia Pestis To Iron Starvation, Rembert Pieper, Shih-Ting Huang, Prashanth P. Parmar, David J. Clark, Hamid Alami, Robert D. Fleischmann, Robert D. Perry, Scott N. Peterson
Proteomic Analysis Of Iron Acquisition, Metabolic And Regulatory Responses Of Yersinia Pestis To Iron Starvation, Rembert Pieper, Shih-Ting Huang, Prashanth P. Parmar, David J. Clark, Hamid Alami, Robert D. Fleischmann, Robert D. Perry, Scott N. Peterson
Microbiology, Immunology, and Molecular Genetics Faculty Publications
BACKGROUND: The Gram-negative bacterium Yersinia pestis is the causative agent of the bubonic plague. Efficient iron acquisition systems are critical to the ability of Y. pestis to infect, spread and grow in mammalian hosts, because iron is sequestered and is considered part of the innate host immune defence against invading pathogens. We used a proteomic approach to determine expression changes of iron uptake systems and intracellular consequences of iron deficiency in the Y. pestis strain KIM6+ at two physiologically relevant temperatures (26°C and 37°C).
RESULTS: Differential protein display was performed for three Y. pestis subcellular fractions. Five characterized Y. pestis …
An Integrative -Omics Approach To Identify Functional Sub-Networks In Human Colorectal Cancer, Rod K. Nibbe, Mehmet Koyutürk, Mark R. Chance
An Integrative -Omics Approach To Identify Functional Sub-Networks In Human Colorectal Cancer, Rod K. Nibbe, Mehmet Koyutürk, Mark R. Chance
Faculty Scholarship
Emerging evidence indicates that gene products implicated in human cancers often cluster together in "hot spots" in protein-protein interaction (PPI) networks. Additionally, small sub-networks within PPI networks that demonstrate synergistic differential expression with respect to tumorigenic phenotypes were recently shown to be more accurate classifiers of disease progression when compared to single targets identified by traditional approaches. However, many of these studies rely exclusively on mRNA expression data, a useful but limited measure of cellular activity. Proteomic profiling experiments provide information at the post-translational level, yet they generally screen only a limited fraction of the proteome. Here, we demonstrate that …