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پروفایل ترانسکریپتوم یاخته‌های گرانولوزای تخمدان گاو در مراحل مختلف فولیکولوژنسیز

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج

2 استاد، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج

3 دانشیار، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج

4 استادیار، دانشگاه علوم پزشکی بقیه الله الاعظم، تهران

چکیده

آخرین مرحلۀ فولیکولوژنسیز در فولیکول تخمدان پستانداران شامل بیشترین توسعه و اوج فعالیت لایه­های بافت پوششی (اپیتلیال) یاخته­های گرانولوزا است که حفرۀ آنترال را احاطه کرده­اند. در طول رشد و توسعۀ فولیکول، یاخته­های گرانولوزا تکثیر می­شوند و هورمون­های لازم برای رشد اووسیت را ترشح می­کنند. در گاو، فولیکول نیاز به رشد تا قطر بالای 10 میلی‌متر دارد تا آماده برای تخمک­ریزی شود و پس از این مرحله یاخته­های گرانولوزا تغییر کرده و تبدیل به تودۀ یاخته­های ویژه­ای بنام جسم زرد می­شوند. برای درک بهتر اساس مولکولی رشد فولیکولی و بلوغ یاخته­های گرانولوزا، پروفایل ترانسکریپتوم یاخته­های گرانولوزا از کوچک (<5mm) تا بزرگ (>10mm) با استفاده از روش داده­کاوی بررسی شد. درمجموع با مقایسۀ ترانسکریپتوم یاخته­های گرانولوزای بزرگ و کوچک درمجموع 283 ژن شناسایی شدند. با بازسازی شبکه و تجزیۀ آن موفق به شناسایی آثار متقابل آن­ها و درنهایت با استفاده از ابزارهای مختلف درزمینۀ پیدا کردن ماژول­های مهم و عملکردی، شش ماژول شناسایی شد که مهم‌ترین ژن­های مرتبط شامل αTNF، NR1H4، LHCGR، FSHR،  PTHLH، LHB، CAD، HSD3B1، CYP17A1، DICE1، MCE1، COX و آروماتاز بودند. این مشاهده‌ها توصیه می­کند که شش ماژول شناسایی‌شده در بررسی می‌توانند به‌عنوان نشانگرهایی برای مرحلۀ نهایی تمایز فولیکول و آغاز مرگ یاخته باشند.

کلیدواژه‌ها


عنوان مقاله [English]

Transcriptome profiling of granulosa cells of bovine ovarian follicles during different stages of folliculogenesis

نویسندگان [English]

  • Abolfazl Bahrami 1
  • Seyed Reza Miraie-Ashtiani 2
  • Mostafa Sadeghi 3
  • Ali Najafi 4
1 Ph.D. Candidate, Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
2 Professor, Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
3 Associate Professor, Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
4 Assistant Professor, Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
چکیده [English]

At the later stage of folliculogenesis, the mammalian ovarian follicle contains layers of epithelial granulosa cells surrounding an antral cavity. During follicle development, granulosa cells replicate, secrete hormones and support the growth of the oocyte. In cattle, the follicle needs to grow over 10 mm in diameter to allow an oocyte release in  ovulation process, following which the granulosa cells cease dividing and differentiate into the specialized cells of the corpus luteum. To better understand the molecular basis of follicular growth and granulosa cell maturation, we undertook the transcriptome profiling of granulosa cells from small (< 5 mm; n = 10) and large (> 10 mm, n = 4) healthy bovine follicles, using data mining. In this regard, we have studied important genes that are included in folliculogenesis process using data, freely available in the different databases. In total 283 genes were identified with the comparison of transcriptome profiling of large and small granulosa cells. With construction and analysis of network, we became able to identify the interaction between them and finally we have found 6 important and functional modules using various software. The most important genes involved, were TNFα, NR1H4, LHCGR, FSHR, PTHLH, LHB, CAD, HSD3B1, CYP17A1, DICE1, MCE1, COX and Aromatase. These results suggest that identified modules can be used as markers for follicle differentiation and apoptosis process. 

کلیدواژه‌ها [English]

  • Data Mining
  • functional modules
  • network
  • ovary
  • transcriptome
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