Global proteome survey of human T leukemic cells for systems biology
Date of Completion
January 2007
Keywords
Biology, Molecular|Biology, Cell
Degree
Ph.D.
Abstract
The reconstruction of signaling network within a single human cell is important for the comprehensive understanding of diverse cellular processes at the systems level. A common approach to do that is by integration of multidimensional "omics" data. In this dissertation, a global survey of a single human Jurkat T leukemic cell line was performed by integrating extensive proteomic and genome-wide transcriptomic profiling, leading to the largest proteome identification to date. The feasibility of using the spectral count method for detecting protein differential regulation was demonstrated, and successfully applied to determine large-scale protein subcellular localization. Moreover, the quantities of several hundreds of proteins in the whole cell and plasma membrane fraction were estimated using the spectral count method. Finally, these omics data sets were integrated with known human protein-protein interactome, generating a first draft of human Jurkat T leukemic protein signaling network, allowing hypotheses generation and validation studies. ^
Recommended Citation
Wu, Linfeng, "Global proteome survey of human T leukemic cells for systems biology" (2007). Doctoral Dissertations. AAI3289527.
https://digitalcommons.lib.uconn.edu/dissertations/AAI3289527