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Mining the oocyte transcriptome.
Andreu-Vieyra, Claudia; Lin, Yi-Nan; Matzuk, Martin M.
Afiliação
  • Andreu-Vieyra C; Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Trends Endocrinol Metab ; 17(4): 136-43, 2006.
Article em En | MEDLINE | ID: mdl-16595178
ABSTRACT
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.
Assuntos
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Base de dados: MEDLINE Assunto principal: Oócitos / Transcrição Gênica Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2006 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Oócitos / Transcrição Gênica Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2006 Tipo de documento: Article