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Molecular and Cell Genetics Laboratory, The CAS Key Laboratory of Innate Immunity and Chronic Disease, Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China, Center for Reproductive Medicine, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei 230001, China, Department of Statistics, University of Kentucky, Lexington, KY 40506, USA, Collaborative Innovation Center of Genetics and Development, Fudan University, 2005 Songhu Road, Shanghai 200438, China, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China and Institute of Pure and Applied Biology, Bahauddin Zakariya University Multan, 60800, Pakistan Molecular and Cell Genetics Laboratory, The CAS Key Laboratory of Innate Immunity and Chronic Disease, Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China, Center for Reproductive Medicine, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei 230001, China, Department of Statistics, University of Kentucky, Lexington, KY 40506, USA, Collaborative Innovation Center of Genetics and Development, Fudan University, 2005 Songhu Road, Shanghai 200438, China, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China and Institute of Pure and Applied Biology, Bahauddin Zakariya University Multan, 60800, Pakistan Molecular and Cell Genetics Laboratory, The CAS Key Laboratory of Innate Immunity and Chronic Disease, Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, University of Science and
Published: December 2015
AI Article Synopsis
Article Abstract
Folliculogenesis is an important part of ovarian function as it provides the oocytes for female reproductive life. Characterizing genes/proteins involved in folliculogenesis is fundamental for understanding the mechanisms associated with this biological function and to cure the diseases associated with folliculogenesis. A large number of genes/proteins associated with folliculogenesis have been identified from different species. However, no dedicated public resource is currently available for folliculogenesis-related genes/proteins that are validated by experiments. Here, we are reporting a database 'Follicle Online' that provides the experimentally validated gene/protein map of the folliculogenesis in a number of species. Follicle Online is a web-based database system for storing and retrieving folliculogenesis-related experimental data. It provides detailed information for 580 genes/proteins (from 23 model organisms, including Homo sapiens, Mus musculus, Rattus norvegicus, Mesocricetus auratus, Bos Taurus, Drosophila and Xenopus laevis) that have been reported to be involved in folliculogenesis, POF (premature ovarian failure) and PCOS (polycystic ovary syndrome). The literature was manually curated from more than 43,000 published articles (till 1 March 2014). The Follicle Online database is implemented in PHP + MySQL + JavaScript and this user-friendly web application provides access to the stored data. In summary, we have developed a centralized database that provides users with comprehensive information about genes/proteins involved in folliculogenesis. This database can be accessed freely and all the stored data can be viewed without any registration. Database URL: http://mcg.ustc.edu.cn/sdap1/follicle/index.php
