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Gene expression profiles of autophagy-related genes in multiple sclerosis
- Igci, Mehri, Baysan, Mehmet, Yigiter, Remzi, Ulasli, Mustafa, Geyik, Sirma, Bayraktar, Recep, Bozgeyik, İbrahim, Bozgeyik, Esra, Bayram, Ali, Cakmak, Ecir Ali
- Gene 2016 v.588 no.1 pp. 38-46
- RNA, T-lymphocytes, autophagy, blood sampling, cell viability, central nervous system, complementary DNA, environmental factors, females, gene expression, genes, males, nervous system diseases, organelles, pathogenesis, patients, proteins, quantitative polymerase chain reaction, reverse transcriptase polymerase chain reaction, risk factors, sclerosis
- Multiple sclerosis (MS) is an imflammatory disease of central nervous system caused by genetic and environmental factors that remain largely unknown. Autophagy is the process of degradation and recycling of damaged cytoplasmic organelles, macromolecular aggregates, and long-lived proteins. Malfunction of autophagy contributes to the pathogenesis of neurological diseases, and autophagy genes may modulate the T cell survival. We aimed to examine the expression levels of autophagy-related genes. The blood samples of 95 unrelated patients (aged 17–65years, 37 male, 58 female) diagnosed as MS and 95 healthy controls were used to extract the RNA samples. After conversion to single stranded cDNA using polyT priming: the targeted genes were pre-amplified, and 96×78 (samples×primers) qRT-PCR reactions were performed for each primer pair on each sample on a 96.96 array of Fluidigm BioMark™. Compared to age- and sex-matched controls, gene expression levels of ATG16L2, ATG9A, BCL2, FAS, GAA, HGS, PIK3R1, RAB24, RGS19, ULK1, FOXO1, HTT were significantly altered (false discovery rate<0.05). Thus, altered expression levels of several autophagy related genes may affect protein levels, which in turn would influence the activity of autophagy, or most probably, those genes might be acting independent of autophagy and contributing to MS pathogenesis as risk factors. The indeterminate genetic causes leading to alterations in gene expressions require further analysis.