Identification of differentially expressed lncRNA in human gastric cancer tissues based on high-throughput RNA sequencing
10.3969/j.issn.1674-8115.2019.09.004
- Author:
Zhi-Long YU
1
Author Information
1. Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
- Publication Type:Journal Article
- Keywords:
Gastric cancer;
Long noncoding RNA;
Microarray
- From:
Journal of Shanghai Jiaotong University(Medical Science)
2019;39(9):955-962
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the potential mechanisms of gastric cancer (GC), long noncoding RNA (lncRNA) and mRNA expression profiling of 3 paired GC fresh tissues and their matched adjacent non-cancerous tissues was detected through microarray analysis. Methods: The functions of differentially expressed lncRNA and mRNA were recognized by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The co-expression network was constructed to find the relevance with corresponding mRNA by using hypergeometric cumulative distribution function of MATLAB 2012b and Cytoscape software. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect the expression of 5 differentially expressed key lncRNAs, which were selected in 30 paired GC fresh tissues. Results: Compared with normal tissues, 1 499 lncRNAs and 6 002 mRNAs were dysregulated in GC tissues. The qRT-PCR results showed that the 5 key lncRNAs were consistent with those from the microarray data. Cis-regulatory gene analyses showed the chromosome location of these key lncRNAs, and revealed the associated co-expressed genes. The trans-analyses results demonstrated that enormous transcription factors regulated lncRNA and gene expression. Conclusion: These differentially expressed lncRNAs in GC may be promising biomarkers and provide valuable information for GC targeted treatment.
