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Published on: November 30, 2013
Evaluating the microRNA-target gene regulatory network in renal cell carcinomas, identification for potential
Jun Li1, Jian-Hua Huang2, Qing-Hua Qu1
1Department of Urology, Pudong New Area People's Hospital Shanghai, China.
Abstract:
Variant microRNA (miRNA) expression is a character of many cancer types. The combined analysis of miRNA and messenger RNA (mRNA) expression profiles is crucial to identifying links between deregulated miRNAs and oncogenic pathways. The aim of this study was to screen several novel genes associated with renal cell carcinoma (RCC), and analyze the gene functions and signal pathways which were critical to RCCs with DNA microarray. The gene expression profile of GSE6344 was downloaded from Gene Expression Omnibus database, including 10 RCC samples and 10 healthy controls. Compared with the control samples, differentially expressed genes (DEGs) of RCC was identified. The selected DEGs were further analyzed using bioinformatics methods. Gene ontology (GO) enrichment analysis was performed using Gene Set Analysis Toolkit and protein-protein interaction (PPI) network was constructed with prePPI. Then, pathway enrichment analysis to PPI network was performed using WebGestalt software. We found that a total of 521 DEGs were down-regulated and 473 DEGs were up-regulated in RCC samples compared to healthy controls. A total of 15 remarkable enhanced functions and 17 suppressed functions were identified. PPI nodes of high degrees, such as RHCG, RALYL, SLC4A1, UMOD and CA9, were obtained. The DEGs were classified and significantly enriched in cytokine and cytokine receptor pathway. The hub genes we find from RCC samples are not only biomarkers, but also may provide the groundwork for a combination therapy approach for RCCs.
Insights
This study identified novel genes linked to renal cell carcinoma (RCC) by analyzing gene expression. Key genes and pathways were found, offering potential biomarkers and therapeutic targets for RCC.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Aberrant microRNA (miRNA) expression is common in cancers.
- Integrating miRNA and messenger RNA (mRNA) expression aids in understanding oncogenic pathways.
Purpose of the Study:
- To identify novel genes associated with renal cell carcinoma (RCC).
- To analyze gene functions and critical signaling pathways in RCC using DNA microarray data.
Main Methods:
- Downloaded gene expression profile GSE6344 from Gene Expression Omnibus database (10 RCC samples, 10 controls).
- Identified differentially expressed genes (DEGs) between RCC and control samples.
- Performed Gene Ontology (GO) enrichment analysis, constructed a protein-protein interaction (PPI) network, and conducted pathway enrichment analysis.
Main Results:
- Identified 521 downregulated and 473 upregulated DEGs in RCC samples.
- Discovered 15 enhanced and 17 suppressed functions.
- Identified high-degree PPI nodes (e.g., RHCG, RALYL, SLC4A1, UMOD, CA9).
- Found DEGs significantly enriched in the cytokine and cytokine receptor pathway.
Conclusions:
- The identified hub genes in RCC samples may serve as biomarkers.
- These findings provide a foundation for developing combination therapy approaches for RCC.
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