Please use this identifier to cite or link to this item:
DC FieldValue
dc.titleUsing computational approach in understanding gene regulatory networks for antimicrobial peptide coding genes
dc.contributor.authorMANISHA BRAHMACHARY
dc.identifier.citationMANISHA BRAHMACHARY (2007-05-26). Using computational approach in understanding gene regulatory networks for antimicrobial peptide coding genes. ScholarBank@NUS Repository.
dc.description.abstractMammalian 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.
dc.subjectantimicrobial peptide, promoter,transcription regulation,computational,regulatory network,nuclear hormone receptor
dc.contributor.supervisorTAN TIN WEE
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
Appears in Collections:Ph.D Theses (Open)

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
PhD_thesis_manisha_brahmachary_ht016695e.pdf4.32 MBAdobe PDF



Page view(s)

checked on May 21, 2019


checked on May 21, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.