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Updated: Feb 1, 2026

DNA Vector-based RNA Interference to Study Gene Function in Cancer

DNA Vector-based RNA Interference to Study Gene Function in Cancer

Published on: June 4, 2012

Understanding the mechanisms of cancers based on function sub-pathways.

Wenbin Liu¹, Peng Xu¹, Zhenshen Bao²

¹Institute of Advanced Computational Science and Technology, Guangzhou University, Guangzhou, Guangdong 510006, China.

Computational Biology and Chemistry

|December 4, 2018

Summary

A new Function Sub-Pathway Analysis (FSPA) method reveals specific biological functions underlying diseases. This approach identifies cancer-associated pathways and quantifies their impact, aiding in mechanism elucidation and therapeutic strategy design.

Keywords:

Biological functions Differentially expressed genes Perturbation degree Signaling pathway analysis

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Area of Science:

Bioinformatics
Systems Biology
Genomics

Background:

Pathway analysis is crucial for understanding gene and protein expression.
Existing sub-pathway methods often lack explicit functional interpretation.
Identifying specific functional roles of sub-pathways remains a challenge.

Purpose of the Study:

To introduce a novel Function Sub-Pathway Analysis (FSPA) method.
To enable explicit analysis of sub-pathway functions in disease contexts.
To quantify the impact of sub-pathways on specific biological functions.

Main Methods:

Developed FSPA to include all downstream nodes leading to a specific function node.
Defined a 'perturbation degree' based on the negative log p-value of sub-pathways.
Applied FSPA to six cancer datasets (colorectal, lung, pancreatic).

Main Results:

FSPA identified more cancer-associated pathways compared to existing methods.
The method successfully pinpointed sub-pathways contributing to specific abnormal functions.
Quantified the extent of functional impact and analyzed functional imbalances in biological processes.

Conclusions:

FSPA provides explicit functional insights into sub-pathways.
The method enhances understanding of cancer mechanisms.
Results support the design of targeted therapeutic strategies.