کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2811164 1158558 2006 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mining the oocyte transcriptome
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی علوم غدد
پیش نمایش صفحه اول مقاله
Mining the oocyte transcriptome
چکیده انگلیسی

Mammalian folliculogenesis and oocyte physiology are complex and not fully understood. However, major advances over the past 15 years in our ability to create and study in vivo models have improved our understanding of these essential physiological processes. More recently, the availability of vast arrays of DNA sequence information in the forms of ‘complete’ genomes, expressed sequence tag libraries and microarray data from reproductive tissues have stimulated the discovery of new information through genome scanning, prediction programs and in silico screening techniques. These technological improvements will help to expand our understanding of folliculogenesis and oocyte physiology and improve human reproductive health.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 17, Issue 4, May 2006, Pages 136–143
نویسندگان
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