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Published on: February 13, 2013
Gene expression profiling in Venous thromboembolism: Insights from publicly available datasets
Sunanda Arya1, Rashi Khare1, Iti Garg1
1Defence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization (DRDO), Lucknow Road, Timarpur, Delhi 110054, India.
Insights
Venous thromboembolism (VTE) involves complex genetic factors. This study identified key up-regulated genes like MYC and down-regulated genes like MRPL13, offering insights for new diagnostic and therapeutic strategies.
Area of Science:
- Genomics and Bioinformatics
- Cardiovascular Disease Research
- Molecular Biology
Background:
- Venous thromboembolism (VTE) is a significant global health issue, ranking as the third leading cause of cardiovascular disease.
- The intricate genetic underpinnings of VTE pathogenesis remain incompletely understood, necessitating further investigation.
Purpose of the Study:
- To identify critical hub genes and molecular pathways implicated in the development and progression of VTE.
- To leverage public gene expression data for a comprehensive analysis of VTE-associated genetic mechanisms.
Main Methods:
- Differential gene expression (DEG) analysis was performed on two VTE patient datasets (GSE48000 and GSE19151) using the GEO2R tool.
- Bioinformatics tools were employed to compare gene expression profiles between VTE patients and healthy controls.
- Protein-protein interaction (PPI) network analysis was utilized to identify key hub genes.
Main Results:
- Analysis revealed 19 up-regulated and 134 down-regulated genes in VTE patients.
- Significantly enriched pathways included complement and coagulation cascade, B-cell receptor signaling, DNA methylation, and inflammation.
- Top up-regulated hub genes (MYC, FOS, SGK1, CR2, CXCR4) are linked to vascular integrity, while down-regulated hub genes (MRPL13, MRPL3, MRPL11, RPS29, RPL9) are primarily mitochondrial ribosomal proteins.
Conclusions:
- This study elucidates significantly enriched pathways and genes crucial for VTE development and prognosis.
- The identified genetic markers and pathways hold potential for the development of novel diagnostic and therapeutic interventions for VTE management.
Background:
Venous thromboembolism (VTE) is the third most common cardiovascular disease and is a major cause of mobility and mortality worldwide. VTE is a complex multifactorial disease and genetic mechanisms underlying its pathogenesis is yet to be completely elucidated. The aim of the present study was to identify hub genes and pathways involved in development and progression of blood clot during VTE using gene expression data from public repositories.
Methodology:
Differential gene expression (DEG) data from two datasets, GSE48000 and GSE19151 were analysed using GEO2R tool. Gene expression data of VTE patients were compared to that of healthy controls using various bioinformatics tools.
Results:
When the differentially expressed genes of the two datasets were compared, it was found that 19 genes were up-regulated while 134 genes were down-regulated. Gene ontology (GO) and pathway analysis revealed that pathways such as complement and coagulation cascade and B-cell receptor signalling along with DNA methylation, DNA alkylation and inflammatory genes were significantly up-regulated in VTE patients. On the other hand, differentially down-regulated genes included mitochondrial translation elongation, termination and biosysthesis along with heme biosynthesis, erythrocyte differentiation and homeostasis. The top 5 up-regulated hub genes obtained by protein-protein interaction (PPI) network analysis included MYC, FOS, SGK1, CR2 and CXCR4, whereas the top 5 down-regulated hub genes included MRPL13, MRPL3, MRPL11, RPS29 and RPL9. The up-regulated hub genes are functionally involved in maintain vascular integrity and complementation cascade while the down-regulated hub genes were mostly mitochondrial ribosomal proteins.
Conclusion:
Present study highlights significantly enriched pathways and genes associated with VTE development and prognosis. The data hereby obtained could be used for designing newer diagnostic and therapeutic tools for VTE management.
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