Abstract
HCV is an epidemic affecting an estimated 160 million individuals worldwide or approximately 2.35% of the world’s population.(1) This is partly because HCV exhibits high genetic variation which thereby characterizes each region with its own genetic prevalence. Therefore, understanding the transcriptional regulatory elements that influence the progression of liver disease in the presence of HCV infection is thereby crucial for diagnostic and therapeutic purposes. Systems biology provides a road map by which these elements may be easily identified. In this study 124 microarray samples were assessed in order to determine differentially expressed genes for 4 tissue types/conditions (normal, cirrhosis, cirrhosis HCC, and HCC). Differentially expressed genes were assessed for their functional clustering and those genes were annotated with their potential transcription factors and miRNAs. Transcriptional regulatory networks were constructed to visualize each pairwise comparison between the 4 tissue types/conditions. In this study that 12 transcription factors were found to have high expression patterns amongst all 6 pairwise comparisons and these transcription factors also provide insight the conditions of the liver as it progresses through hepatic cirrhosis, hepatic steatosis, and the induction of cancer. With the plethora of miRNAs that are found in the liver, each liver condition was found to have its own signature miRNA expression pattern. In the 6 pairwise comparisons 14 miRNAs were found to have high expression patterns in all 6 pairwise comparisons and their regulation in HCC was determined as well as their impact on cellular homeostasis. Based on the findings of this study and a systematic analysis of many studies it can be concluded that as the liver progresses from cirrhosis to steatosis and eventually becoming carcinomic there are specific transcription factors regulating this transition through each stage. Whereas the condition of the liver digresses, the down-regulation of miRNAs’ expression makes the transition of the liver through each pathological stage more apparent. Therefore, an understanding of the transcriptional regulatory attributes acts as a road map to provide interference strategies in order to target the stages in the progression of HCV induced HCC.
Department
Biotechnology Program
Degree Name
MS in Biotechnology
Graduation Date
6-1-2015
Submission Date
January 2016
First Advisor
Azzazy, Hassan
Committee Member 1
Zada, Suher
Committee Member 2
Abdellatif, Ahmed
Extent
81 p.
Document Type
Master's Thesis
Rights
The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy.
Institutional Review Board (IRB) Approval
Not necessary for this item
Recommended Citation
APA Citation
Zahra, M.
(2015).Transcriptional regulatory networks in Hepatitis C virus_induced hepatocellular carcinoma [Master's Thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/etds/385
MLA Citation
Zahra, Marwa. Transcriptional regulatory networks in Hepatitis C virus_induced hepatocellular carcinoma. 2015. American University in Cairo, Master's Thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/etds/385
Comments
n/a