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Insights from reconstructing cellular networks in transcription, stress, and cancer
Abstract
The cell is a complex biological network that is capable of transitioning to a wide variety of states. Enumerating, defining, and understanding the mechanisms behind cellular states are important problems of Systems Biology. This document contains insights gleaned from the study of three systems wide problems: transcription regulation by NF-kB, oxidative stress in response to reactive oxidative species, and gene expression changes caused by creation of lentiviral mediated cancer models. A consideration by literature review is provided of the historical problem formulations for studying mechanisms of NF-kB target gene regulation. Previous formulations of regulation are useful as frameworks for experimental design of future experiments when considered without bias towards prior assumptions. A description of the construction of a network bridging the multitude of cell responses to hydrogen peroxide is provided along with failed attempts to validate that network. Potential regulation by heme in response to oxidative stress reveals an ever tighter relationship between ROS, metabolism, and cell death. Application of molecular signatures defined from human primary cancers is used for determining the suitability of mouse cancer models generated from lentiviral constructs for the study of human primary cancers. Mouse tumors generated artificially display a surprising degree of concordance with primary cancers. The ability of high throughput technologies to query nearly the entire state of the cell can lead to undesirable complexity. Application of simplifying assumptions derived from the consideration of the biological fundamental problem as opposed from technical limitations allows a reduction of in complexity that elucidates areas for future study
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