Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/23137
Title: Using computational approach in understanding gene regulatory networks for antimicrobial peptide coding genes
Authors: MANISHA BRAHMACHARY
Keywords: antimicrobial peptide, promoter,transcription regulation,computational,regulatory network,nuclear hormone receptor
Issue Date: 26-May-2007
Source: MANISHA BRAHMACHARY (2007-05-26). Using computational approach in understanding gene regulatory networks for antimicrobial peptide coding genes. ScholarBank@NUS Repository.
Abstract: Mammalian antimicrobial peptides (AMPs) are effectors of the innate immune response. A multitude of signals coming from pathways of mammalian pathogen/pattern recognition receptors and other proteins affect the expression of AMP-coding genes (AMPcgs).For many AMPcgs the promoter elements and transcription factors that control their tissue cell-specific expression have yet to be fully identified and characterized. This thesis demonstrates large-scale computational analysis of promoters of 22 families of AMPcgs across three mammalian species (human, mouse, rat). As a result many novel findings have emerged that indicate some key transcription factor groups that could be key regulators of AMPcgs. Generation of promoter models for some of the AMP families have lead to biological hypothesis linking transcription factor relationship with AMPcg regulation. Regulatory networks were deduced from computational extraction of genes putatively co-regulated with AMPcgs.
URI: http://scholarbank.nus.edu.sg/handle/10635/23137
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