Design and construction of a gene network associated with ovarian development and evaluation of the effect of phenytoin and venlafaxine on gene expression shift in the designed network.
سال انتشار: 1399
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 266
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شناسه ملی سند علمی:
CIGS16_084
تاریخ نمایه سازی: 14 اردیبهشت 1400
چکیده مقاله:
Background and Aim: Based on these studies, studies are being conducted and modeled to determine if the effects of phenytoin and venlafaxine enter the body, which may alter the expression of the SF۱, RSPO۱, and LIF genes. Studies have shown that what happens if the drugs in question are to increase or decrease the expression of the upstream gene, and what will be the result of ovarian coagulation .animals for pharmaceutical studies has been extensively studied. In the present study, we predict the effect of phenytoin and venlafaxine on the possible alteration of the SF۱, RSPO۱, and LIF genes by computer methods.Methods: In this way, we first designed and modeled the above-mentioned networks using cytoscape software and string server and then identified and predicted two inducible or inhibitory pathways. The effect of these expression changes, whether altered on possible ovarian morphology or normal ovarian differentiation.Results: Our results indicate that pharmacological effects are likely to decrease or increase the expression of SF۱, RSPO۱, and LIF genes.Conclusion: The use of antiepileptic drugs and antiepileptic drugs studied, due to their effects on the ovary, can lead to infertility problems and concerns.
کلیدواژه ها:
Effects of antidepressants ، effects of antiepileptic drugs ، causes of infertility in female ، Ovarian failure ، Ovarian Gene Network.
نویسندگان
Nafiseh Boroumand
MSc student of genetics, Department of genetic, faulty of scignce, Shahrekord university ,Shahrekord, Iran
Ali Mohammad Ahadi
Associate professor of Molecular Genetics,Department of Genetics, Faculity of science, Shahrekord University,Shahrekord Iran
hassan nazari
Research Institute of Animal Embryo Technology, Shahrekord University, Shahrekord, Iran.