Int. J. Dev. Biol. 56: 859 - 866 (2012)
doi: 10.1387/ijdb.120138fm
© UPV/EHU Press

Knowledge-based bioinformatics for the study of mammalian oocytes

Francesca Mulas*,1, Lucia Sacchi2, Lan Zagar3, Silvia Garagna1,4, Maurizio Zuccotti5, Blaz Zupan1,3 and Riccardo Bellazzi*,1,2

1Centre for Tissue Engineering, University of Pavia, Pavia, Italy, 2Dipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, Italy, 3Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia, 4Laboratorio di Biologia dello Sviluppo, Dipartimento di Biologia e Biotecnologie 'Lazzaro Spallanzani', Università degli Studi di Pavia, Pavia, Italy and 5Dipartimento di Scienze Biomediche, Biotecnologiche e Traslazionali, Università degli Studi di Parma, Italy

ABSTRACT Bioinformatics tools have been recently applied to study the differentiation of the mammalian oocyte during folliculogenesis. In this review, we will summarize our knowledge of 1) the use of biological databases for the extraction of relevant information, 2) bioinformatics methods for knowledge extraction and representation, 3) the application of these methods to the study of mammalian oocyte differentiation and 4) state-of the-art prediction approaches for the assessment and estimation of the cell differentiation status.


knowledge extraction, database, oocyte, stem cell

*Corresponding author e-mail: ;