Fertilization precisely choreographs parental genomes by using gamete-derived cellular factors and activating genome regulatory programs. However, the mechanism remains elusive owing to the technical difficulties of preparing large numbers of high-quality preimplantation cells. Here, we collected >14 3 10 4 high-quality mouse metaphase II oocytes and used these to establish detailed transcriptional profiles for four early embryo stages and parthenogenetic development. By combining these profiles with other public resources, we found evidence that gene silencing appeared to be mediated in part by noncoding RNAs and that this was a prerequisite for postfertilization development. Notably, we identified 817 genes that were differentially expressed in embryos after fertilization compared with parthenotes. The regulation of these genes was distinctly different from those expressed in parthenotes, suggesting functional specialization of particular transcription factors prior to first cell cleavage. We identified five transcription factors that were potentially necessary for developmental progression: Foxd1, Nkx2-5, Sox18, Myod1, and Runx1. Our very large-scale whole-transcriptome profile of early mouse embryos yielded a novel and valuable resource for studies in developmental biology and stem cell research. The database is available at http://dbtmee.hgc.jp.

DBTMEE (http://dbtmee.hgc.jp/) is a searchable and browsable database designed to manipulate gene expression information from our ultralarge-scale whole-transcriptome analysis of mouse early embryos. Since integrative approaches with multiple public analytical data have become indispensable for studying embryogenesis due to technical challenges such as biological sample collection, we intend DBTMEE to be an integrated gateway for the research community. To do so, we combined the gene expression profile with various public resources. Thereby, users can extensively investigate molecular characteristics among totipotent, pluripotent and differentiated cells while taking genetic and epigenetic characteristics into consideration. We have also designed user friendly web interfaces that enable users to access the data quickly and easily. DBTMEE will help to promote our understanding of the enigmatic fertilization dynamics.

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These findings indicate that immune suppression by cancer or by anticancer chemotherapy increases vulnerability to reactivation of TB, especially in cancer patients with old healed TB.