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Updated: May 16, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
p42.3 gene expression in gastric cancer cell and its protein regulatory network analysis
Jianhua Zhang1, Chunlei Lu, Zhigang Shang
1Department of Biomedical Engineering, School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan Province 450001, China.
Background:
To analyze the p42.3 gene expression in gastric cancer (GC) cell, find the relationship between protein structure and function, establish the regulatory network of p42.3 protein molecule and then to obtain the optimal regulatory pathway.
Methods:
The expression of p42.3 gene was analyzed by RT-PCR, Western Blot and other biotechnologies. The relationship between the spatial conformation of p42.3 protein molecule and its function was analyzed using bioinformatics, MATLAB and related knowledge about protein structure and function. Furthermore, based on similarity algorithm of spatial layered spherical coordinate, we compared p42.3 molecule with several similar structured proteins which are known for the function, screened the characteristic nodes related to tumorigenesis and development, and established the multi variable relational model between p42.3 protein expression, cell cycle regulation and biological characteristics in the level of molecular regulatory networks. Finally, the optimal regulatory network was found by using Bayesian network.
Results:
(1) The expression amount of p42.3 in G1 and M phase was higher than that in S and G2 phase; (2) The space coordinate systems of different structural domains of p42.3 protein were established in Matlab7.0 software; (3) The optimal pathway of p42.3 gene in protein regulatory network in gastric cancer is Ras protein, Raf-1 protein, MEK, MAPK kinase, MAPK, tubulin, spindle protein, centromere protein and tumor.
Conclusion:
It is of vital significance for mechanism research to find out the action pathway of p42.3 in protein regulatory network, since p42.3 protein plays an important role in the generation and development of GC.
Insights
This study analyzed p42.3 gene expression and its regulatory network in gastric cancer (GC). The optimal pathway involves Ras, Raf-1, MEK, MAPK, and other proteins crucial for tumor development.
Area of Science:
- Molecular Biology
- Bioinformatics
- Cancer Research
Background:
- Gastric cancer (GC) is a significant health concern.
- Understanding gene expression and protein function is crucial for GC research.
- The p42.3 gene's role in GC requires further elucidation.
Purpose of the Study:
- Analyze p42.3 gene expression in gastric cancer cells.
- Determine the relationship between p42.3 protein structure and function.
- Establish the p42.3 protein regulatory network and identify the optimal pathway.
Main Methods:
- Gene expression analysis using RT-PCR and Western Blot.
- Bioinformatics and MATLAB for protein structure-function analysis.
- Bayesian networks to model and find the optimal regulatory pathway.
Main Results:
- p42.3 expression is higher in G1 and M phases than in S and G2 phases.
- Established spatial coordinate systems for p42.3 protein domains.
- Identified the optimal regulatory pathway involving Ras, Raf-1, MEK, MAPK, tubulin, spindle, and centromere proteins in GC.
Conclusions:
- p42.3 protein is vital in gastric cancer generation and development.
- Identifying the p42.3 action pathway is significant for understanding GC mechanisms.
- This research provides a foundation for further mechanistic studies in GC.
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