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Bioinformatic prediction of Long-Non Coding RNAs as Regulatory Candidates of ADRB2 Gene Expression

عنوان مقاله: Bioinformatic prediction of Long-Non Coding RNAs as Regulatory Candidates of ADRB2 Gene Expression
شناسه ملی مقاله: NGCMED10_101
منتشر شده در دومین کنگره بین ‎‎المللی و دهمین همایش ملی نوروژنتیک ایران در سال 1396
مشخصات نویسندگان مقاله:

Shahrzad Askari - Department of Genetics, Faculty of Biological Sciences, University of Tarbiat Modares, Tehran, Iran
Fatemeh Khani-Habibabadi - Department of Genetics, Faculty of Biological Sciences, University of Tarbiat Modares, Tehran, Iran
Mehrdad Behmanesh - Department of Genetics, Faculty of Biological Sciences, University of Tarbiat Modares, Tehran, Iran

خلاصه مقاله:
Introduction: Multiple sclerosis (MS) is a chronic neuroinflammatory disease of the central nervous system. Ithas been reported that astrocytes in plaque regions and white matter of MS patient regardless of normalappearance, lack β2-adrenergic receptors (ADRB2). Studies demonstrate that dysfunction of the astrocytic β2-adrenergic-pathway, may play a key role in the pathogenesis of various neurological diseases such as MS. It hasbeen suggested that epigenetic mechanisms are involved in ADRB2 disappearing in astrocytes of MS patients.Methods: Using UCSC (https://genome.ucsc.edu/), ChIPBase (http://deepbase.sysu.edu.cn/chipbase/),EpiFactors (http://epifactors.autosome.ru/), LncRNA2target (https://mlg.hit.edu.cn/lncrna2targe) Databases, theregulatory region of ADRB2 gene was examined for possible relevant Long-Non Coding RNAs (LncRNAs).Results: Obtained data showed that about 10 LncRNAs have potential to affect the ADRB2 gene expression.

کلمات کلیدی:
Multiple sclerosis, Astrocyte, β2-adrenergic receptors, Long non-coding RNA

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/744949/