Meiotic expression of human ornithine transcarbamylase in the testes of transgenic mice.

In an attempt to use mouse metallothionein-I (mMT-I) regulatory sequences to direct expression of human ornithine transcarbamylase in the liver of transgenic animals, fusion genes joining either 1.6 kilobases or 185 base pairs of the mMT-I regulatory region to the human ornithine transcarbamylase protein-coding sequence were used to produce transgenic mice. In mice carrying the fusion gene with 1.6 kilobases of the mMT-I 5'-flanking sequences, transgene expression was observed in a wide range of tissues, but, unexpectedly, expression in liver was never observed. Surprisingly, in mice carrying the fusion gene regulated by only 185 base pairs of the mMT-I 5'-flanking sequences, the transgene was expressed exclusively in male germ cells during the tetraploid, pachytene stage of meiosis.     

Identification of genes encoding mouse oocyte secretory and transmembrane proteins by a signal sequence trap

The oocyte plays a key role in follicular development. At all stages of follicular development, oocytes interact with surrounding granulosa cells and promote their differentiation into the types of cells that support further oocyte growth and developmental competence. These interactions suggest the existence of an oocyte-granulosa cell regulatory loop that includes both secreted proteins and cell surface receptors on both cell types. Factors involved in the regulatory loop will therefore contain a signal sequence, which can be used to identify them through a signal sequence trap (SST). A screen of an oocyte SST library identified three classes of oocyte-expressed sequences: known mouse genes, sequences homologous to known mammalian genes, and novel sequences of unknown function. Many of the recovered genes may have roles in the oocyte-granulosa cell regulatory loop. For several of the known mouse genes, new roles in follicular development are implied by identification of their expression, for the first time, in the oocyte. The future characterization of novel sequences may lead to the identification of novel proteins participating in the regulatory loop.     

Computational identification of protein coding potential of conserved sequence tags through cross-species evolutionary analysis

The identification of conserved sequence tags (CSTs) through comparative genome analysis may reveal important regulatory elements involved in shaping the spatio-temporal expression of genetic information. It is well known that the most significant fraction of CSTs observed in human–mouse comparisons correspond to protein coding exons, due to their strong evolutionary constraints. As we still do not know the complete gene inventory of the human and mouse genomes it is of the utmost importance to establish if detected conserved sequences are genes or not. We propose here a simple algorithm that, based on the observation of the specific evolutionary dynamics of coding sequences, efficiently discriminates between coding and non-coding CSTs. The application of this method may help the validation of predicted genes, the prediction of alternative splicing patterns in known and unknown genes and the definition of a dictionary of non-coding regulatory elements.