@conference{
author = "Životić, Ivan and Jovanović, Ivan and Đurić, Tamara and Stanković, Aleksandra and Dekleva, Milica and Marković Nikolić, Nevena and Alavantić, Dragan and Živković, Maja",
year = "2017",
abstract = "Introduction: Recently, rs2275888 eQTL in PTPLAD2 gene has been associated with expression of several loci, during inflammatory stimulation in monocytes. Myocardial infarction (MI) triggers an intense inflammatory response that is essential for cardiac repair. We aimed to perform data scouting in appropriate rs2275888 genotype model to identify differentially expressed genes (DEGs), their biological meaning, and key miRs potentially associated with rs2275888 eQTL in peripheral blood mononuclear leucocytes (PBML) of MI patients 6 months after first MI. Methods: Transcriptome data was obtained from PBMLs of 21 patients, who suffered ischemic MI, by employing Illumina iScan microarray technology. Genotyping for rs2275888 was conducted with real-time PCR, using TaqMan® assay. Preprocessing and identification of DEGs was done using limma package of R/Bioconductor software. The online tool DAVID v6.8 was employed for functional enrichment analysis. Most important miRs were selected using NetworkAnalyst web tool, based on the degree centrality value. Results: Transcriptome analysis in recessive model TT+TC (n=19) vs. CC (n=2) identified 68 DEGs. Top significant biological processes involving DEGs cover vascular physiology, cell growth and signaling. Pathway analysis associated DEGs with adherens junction, Rap1 and Ras signaling. Network analysis identified hsa-miR335-5p, -26b-5p, -93-5p, -16-5p, -124-3p, -20b-5p, -17-5p and -218-5p as miRs with top centrality degree in our DEGs list. Conclusion: Seven of eight detected miRs have already been described in MI pathology or suggested as potential biomarkers for MI. Our result suggest the importance of integration of eQTLs, biological processes and pathway analysis coupled with miR activity for further research in MI pathology.",
publisher = "Belgrade : University of Belgrade, Faculty of Biology",
journal = "CoMBoS1 - 1st Congress of Molecular Biologists of Serbia with international participation : Book of abstracts",
title = "Microarray transcriptome profiling in myocardial infarction regarding PTPLAD2 rs2275888 eQTL: a data scouting approach",
pages = "176-176",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12816"
}