Biomedical Center, School of Electronics Engineering,
Beijing, 100876
China
Research Article
Differential Differentiation- and Survival and Invasion-related T-/Hcadherin (CDH13) Computational Downstream Network from No-Tumor Hepatitis/Cirrhosis (HBV or HCV infection) to Human Hepatocellular Carcinoma (HCC) Malignant Transformation
Author(s): Lin Wang, Haijing Wu, Minghu Jiang, Juxiang Huang, Hong Lin and Haizhen DiaoLin Wang, Haijing Wu, Minghu Jiang, Juxiang Huang, Hong Lin and Haizhen Diao
We constructed and analyzed the low-and high-expression (fold change ≥2) different-activated and -inhibited T-/H-cadherin (CDH13) downstream network from no-tumor hepatitis/cirrhosis (HBV or HCV infection) to HCC malignant transformation in GEO data set by integration of gene regulatory network inference method based on linear programming and decomposition procedure with GO database. Our results show that the low-expression CDH13 downstream network has the multi-activated and -inhibited molecular pattern in no-tumor hepatitis/cirrhosis, whereas high-expression CDH13 downstream mainly somewhat inhibited molecular connections but significant reduced network (fold ≥2) in HCC. We suppose that the low-expression CDH13 downstream network mainly activates cell differentiation cell adhesion, but inhibits nuclear chromosome, mitosis in no-tumor hepatitis/cirrhosis, whereas the high.. Read More»
DOI:
10.4172/2155-9929.1000127
Molecular Biomarkers & Diagnosis received 2054 citations as per Google Scholar report