EAnnot: a genome annotation tool using experimental evidence

The sequence of any genome becomes most useful for biological experimentation when a complete and accurate gene set is available. Gene prediction programs offer an efficient way to generate an automated gene set. Manual annotation, when performed by experienced annotators, is more accurate and complete than automated annotation. However, it is a laborious and expensive process, and by its nature, introduces a degree of variability not found with automated annotation. EAnnot (Electronic Annotation) is a program originally developed for manually annotating the human genome. It combines the latest bioinformatics tools to extract and analyze a wide range of publicly available data in order to achieve fast and reliable automatic gene prediction and annotation. EAnnot builds gene models based on mRNA, EST, and protein alignments to genomic sequence, attaches supporting evidence to the corresponding genes, identifies pseudogenes, and locates poly(A) sites and signals. Here, we compare manual annotation of human chromosome 6 with annotation performed by EAnnot in order to assess the latter's accuracy. EAnnot can readily be applied to manual annotation of other eukaryotic genomes and can be used to rapidly obtain an automated gene set.     

Uterine expression of alternatively spliced mRNAs of mouse splicing factor SC35 during early pregnancy

RNA differential display was applied to identify genes critical for the establishment of pregnancy in the mouse. One of the gene fragments identified was homologous to human SC35 splicing factor; the mouse counterpart had not then been cloned. To obtain the full cDNA sequence of the mouse gene, a cDNA library was screened and four positive clones were fully analysed. Sequencing analysis indicated that we had cloned alternatively spliced mRNA species of mouse SC35 splicing factor. A map of splicing structure for this gene's pre-mRNA was then proposed and region-specific mRNA species were tested on Northern blots. This analysis indicated that the overall expression level of SC35 mRNA was much higher in implantation sites than in inter-implantation sites in the mouse uterus during early pregnancy. The expression of alternatively spliced mRNAs for SC35 was differently regulated both during early pregnancy and by steroid hormones. Embryo-derived factors were also implicated in the up-regulation of SC35 mRNA at implantation sites. These results demonstrate, for the first time, that an essential splicing factor is regulated in a complex manner during implantation in the mouse uterus. Hence, its correct regulation could be important for the success of pregnancy.