Prediction of evolutionarily conserved interologs in Mus musculus.

BACKGROUND: Identification of protein-protein interactions is an important first step to understand living systems. High-throughput experimental approaches have accumulated large amount of information on protein-protein interactions in human and other model organisms. Such interaction information has been successfully transferred to other species, in which the experimental data are limited. However, the annotation transfer method could yield false positive interologs due to the lack of conservation of interactions when applied to phylogenetically distant organisms. RESULTS: To address this issue, we used phylogenetic profile method to filter false positives in interologs based on the notion that evolutionary conserved interactions show similar patterns of occurrence along the genomes. The approach was applied to Mus musculus, in which the experimentally identified interactions are limited. We first inferred the protein-protein interactions in Mus musculus by using two approaches: i) identifying mouse orthologs of interacting proteins (interologs) based on the experimental protein-protein interaction data from other organisms; and ii) analyzing frequency of mouse ortholog co-occurrence in predicted operons of bacteria. We then filtered possible false-positives in the predicted interactions using the phylogenetic profiles. We found that this filtering method significantly increased the frequency of interacting protein-pairs coexpressed in the same cells/tissues in gene expression omnibus (GEO) database as well as the frequency of interacting protein-pairs shared the similar Gene Ontology (GO) terms for biological processes and cellular localizations. The data supports the notion that phylogenetic profile helps to reduce the number of false positives in interologs. CONCLUSION: We have developed protein-protein interaction database in mouse, which contains 41109 interologs. We have also developed a web interface to facilitate the use of database http://lgsun.grc.nia.nih.gov/mppi/.

Effects of aging and calorie restriction on the global gene expression profiles of mouse testis and ovary.

BACKGROUND: The aging of reproductive organs is not only a major social issue, but of special interest in aging research. A long-standing view of 'immortal germ line versus mortal soma' poses an important question of whether the reproductive tissues age in similar ways to the somatic tissues. As a first step to understand this phenomenon, we examine global changes in gene expression patterns by DNA microarrays in ovaries and testes of C57BL/6 mice at 1, 6, 16, and 24 months of age. In addition, we compared a group of mice on ad libitum (AL) feeding with a group on lifespan-extending 40% calorie restriction (CR). RESULTS: We found that gene expression changes occurred in aging gonads, but were generally different from those in somatic organs during aging. For example, only two functional categories of genes previously associated with aging in muscle, kidney, and brain were confirmed in ovary: genes associated with complement activation were upregulated, and genes associated with mitochondrial electron transport were downregulated. The bulk of the changes in gonads were mostly related to gonad-specific functions. Ovaries showed extensive gene expression changes with age, especially in the period when ovulation ceases (from 6 to 16 months), whereas testes showed only limited age-related changes. The same trend was seen for the effects of CR: CR-mediated reversal of age-associated gene expression changes, reported in somatic organs previously, was limited to a small number of genes in gonads. Instead, in both ovary and testis, CR caused small and mostly gonad-specific effects: suppression of ovulation in ovary and activation of testis-specific genes in testis. CONCLUSION: Overall, the results are consistent with unique modes of aging and its modification by CR in testis and ovary.

Global gene expression profiling of preimplantation embryos.

Preimplantation development is marked by four major events: the transition of maternal transcripts to zygotic transcripts, compaction, the first lineage differentiation into inner cell mass and trophectoderm, and implantation. The scarcity of the materials of preimplantation embryos, both in size (diameter < 100 microm) and in quantity (only a few to tens of oocytes from each ovulation), has hampered molecular analysis of preimplantation embryos. Recent progress in RNA amplification methods and microarray platforms, including genes unique to preimplantation embryos, allow us to apply global gene expression profiling to the study of preimplantation embryos. Our gene expression profiling during preimplantation development revealed the distinctive patterns of maternal RNA degradation and embryonic gene activation, including two major transient waves of de novo transcription. The first wave corresponds to zygotic genome activation (ZGA). The second wave, mid-preimplantation gene activation (MGA), contributes dramatic morphological changes during late preimplantation development. Further expression profiling of embryos treated with inhibitors of transcription or translation revealed that the translation of maternal RNA is required for the initiation of ZGA, suggesting a cascade of gene activation from maternal RNA/protein sets to ZGA gene sets and thence to MGA gene sets. To date, several reports of microarray experiments using mouse and human preimplantation embryos have been published. The identification of a large number of genes and multiple signaling pathways involved at each developmental stage by such global gene expression profiling accelerates understanding of molecular mechanisms underlining totipotency/pluripotency and programs of early mammalian development.