miRNA-mRNA interaction network in non-small-cell lung cancer
Related Experiment Video
Updated: Apr 15, 2026

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
Published on: April 25, 2022
Ruiqi Ma1, Chenyu Wang, Junjian Wang
1College of Bioengineering, Henan University of Technology, Zhengzhou, 450001, China.
Abstract:
MicroRNAs (miRNA) are small RNA molecules, about 20-25 nucleotides in length. They repress or degrade messenger RNA (mRNA) translation, which are involved in human cancer. In this study based on paired miRNA and mRNA expression profiles of non-small-cell lung cancers (NSCLC) samples, we constructed and analyzed miRNA-mRNA interaction network via several bioinformatics softwares and platforms. This integrative network is comprised of 249 nodes for mRNA, 90 nodes for miRNA and 290 edges that show regulations between target genes and miRNAs. The three miR-1207-5p, miR-1228* and miR-939 are the most connected miRNA that regulated a large number of genes. ST8SIA2, MED1 and HDAC4, SPN, which are targeted by multiple miRNAs and located in the center of the network, are involved in both lung cancer and nervous system via functional annotation analysis. Such a global interaction network of miRNA-mRNA in lung cancer will contribute to refining miRNA target predictions and developing novel therapeutic candidates.
Insights
This study maps microRNA-messenger RNA interactions in non-small-cell lung cancer (NSCLC). Key regulatory miRNAs and genes were identified, offering potential therapeutic targets for lung cancer treatment.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression.
- Dysregulation of miRNAs is implicated in the development and progression of various human cancers, including non-small-cell lung cancer (NSCLC).
- Understanding miRNA-mRNA interactions is crucial for deciphering cancer mechanisms.
Purpose of the Study:
- To construct and analyze a comprehensive miRNA-mRNA interaction network in NSCLC.
- To identify key regulatory miRNAs and their target genes central to lung cancer.
- To explore potential therapeutic targets based on the identified network.
Main Methods:
- Utilized paired miRNA and mRNA expression profiles from NSCLC samples.
- Employed multiple bioinformatics software and platforms for network construction and analysis.
- Performed functional annotation analysis to determine the biological roles of central network components.
Main Results:
- Developed an integrative miRNA-mRNA interaction network with 249 mRNA nodes, 90 miRNA nodes, and 290 regulatory edges.
- Identified miR-1207-5p, miR-1228*, and miR-939 as highly connected miRNAs regulating numerous genes.
- Highlighted ST8SIA2, MED1, HDAC4, and SPN as central target genes involved in lung cancer and nervous system functions.
Conclusions:
- The constructed global miRNA-mRNA interaction network provides insights into NSCLC pathogenesis.
- This network can refine miRNA target predictions and aid in the development of novel therapeutic strategies for lung cancer.
- The identified key miRNAs and genes represent promising candidates for further investigation and therapeutic intervention.
More Related Videos
Related Concept Videos
MicroRNAs
MicroRNAs
MicroRNAs
lncRNA - Long Non-coding RNAs
lncRNA - Long Non-coding RNAs
siRNA - Small Interfering RNAs
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...

