SpermatogenesisOnline 1.0: a resource for spermatogenesis based on manual literature curation and genome-wide data mining.

摘要: Human infertility affects 10-15% of couples, half which is attributed to the male partner. Abnormal spermatogenesis a major cause infertility. Characterizing genes involved in fundamental understand mechanisms underlying this biological process and developing treatments for Although many have been implicated spermatogenesis, no dedicated bioinformatic resource available. We developed such database, SpermatogenesisOnline 1.0 (http://mcg.ustc.edu.cn/sdap1/spermgenes/), using manual curation from 30 233 articles published before 1 May 2012. It provides detailed information 1666 reported participate 37 organisms. Based on analysis these genes, we an algorithm, Greed AUC Stepwise (GAS) model, predicted 762 (GAS probability >0.5) based genome-wide transcriptional data Mus musculus testis ArrayExpress database. These experimentally verified were annotated, with several identical spermatogenesis-related GO terms being enriched both classes. Furthermore, protein-protein interaction indicates direct interactions ones, supports reliability GAS. The strategy (manual mining) used develop can be easily extended other processes.