DPPA2/4 Promote the Pluripotency and Proliferation of Bovine Extended Pluripotent Stem Cells by Upregulating the PI3K/AKT/GSK3β/β-Catenin Signaling Pathway

Developmental pluripotency-associated 2 (DPPA2) and DPPA4 are crucial transcription factors involved in maintaining pluripotency in humans and mice. However, the role of DPPA2/4 in bovine extended pluripotent stem cells (bEPSCs) has not been investigated. In this study, a subset of bEPSC-related differentially expressed genes (DEGs), including DPPA2 and DPPA4, was identified based on multiomics data (ATAC-seq and RNA-seq). Subsequent investigations revealed that double overexpression of DPPA2/4 facilitates the reprogramming of bovine fetal fibroblasts (BFFs) into bEPSCs, whereas knockout of DPPA2/4 in BFFs leads to inefficient reprogramming. DPPA2/4 overexpression and knockdown experiments revealed that the pluripotency and proliferation capability of bEPSCs were maintained by promoting the transition from the G1 phase to the S phase of the cell cycle. By activating the PI3K/AKT/GSK3β/β-catenin pathway in bEPSCs, DPPA2/4 can increase the nuclear accumulation of β-catenin, which further upregulates lymphoid enhancer binding factor 1 (LEF1) transcription factor activity. Moreover, DPPA2/4 can also regulate the expression of LEF1 by directly binding to its promoter region. Overall, our results demonstrate that DPPA2/4 promote the reprogramming of BFFs into bEPSCs while also maintaining the pluripotency and proliferation capability of bEPSCs by regulating the PI3K/AKT/GSK3β/β-catenin pathway and subsequently activating LEF1. These findings expand our understanding of the gene regulatory network involved in bEPSC pluripotency.

Maternal Dppa2 and Dppa4 are dispensable for zygotic genome activation but important for offspring survival

Zygotic genome activation (ZGA) represents the initiation of transcription following fertilisation. Despite its importance, we know little of the molecular events that initiate mammalian ZGA in vivo. Recent in vitro studies in mouse embryonic stem cells have revealed developmental pluripotency associated 2 and 4 (Dppa2/4) as key regulators of ZGA-associated transcription. However, their roles in initiating ZGA in vivo remain unexplored. We reveal that Dppa2/4 proteins are present in the nucleus at all stages of preimplantation development and associate with mitotic chromatin. We generated conditional single and double maternal knockout mouse models to deplete maternal stores of Dppa2/4. Importantly, Dppa2/4 maternal knockout mice were fertile when mated with wild-type males. Immunofluorescence and transcriptome analyses of two-cell embryos revealed that, although ZGA took place, there were subtle defects in embryos that lacked maternal Dppa2/4. Strikingly, heterozygous offspring that inherited the null allele maternally had higher preweaning lethality than those that inherited the null allele paternally. Together, our results show that although Dppa2/4 are dispensable for ZGA transcription, maternal stores have an important role in offspring survival, potentially via epigenetic priming of developmental genes.

Summary: Conditional knockout mouse models reveal maternal stores of Dppa2 and Dppa4 are dispensable for zygotic genome activation, contrasting findings in embryonic stem cells. However, both maternal and zygotic Dppa2/4 are required for development.

The necessity of ZSCAN4 for preimplantation development and gene expression of bovine embryos

Zinc finger and SCAN domain containing 4 (Zscan4) is a gene that is specifically expressed during zygotic genome activation (ZGA) in mouse preimplantation embryos, and a reduction of Zscan4 transcripts leads to developmental failure. In mouse embryonic stem cells (ESCs), Zscan4 is expressed transiently in as little as 1–5% of the cell population. Zscan4 has also been shown to enhance the efficiency of mouse induced pluripotent stem cells (iPSCs) generation and their quality. Although ZSCAN4 plays important roles in murine embryos and stem cells, its expression and role in bovine embryos is unknown. This study examines ZSCAN4 transcripts in bovine embryos at various developmental stages and attempts to elucidate the functions of ZSCAN4 during bovine preimplantation development. ZSCAN4 transcripts were found to be upregulated at the 8- and 16-cell stages. We next attempted ZSCAN4 downregulation in bovine early embryos by RNA interference and evaluated developmental competency and transcripts levels of genes involved in ZGA and iPSCs generation. Although the bovine embryos injected with ZSCAN4-siRNA could develop to the 8-cell stage, very few were developing beyond the 16-cell stage. PIWIL2 expression was reduced in ZSCAN4 downregulated embryos. It is possible that ZSCAN4 downregulated embryos fail to regulate gene expression during ZGA. Our results indicate that ZSCAN4 is an important factor for the preimplantation development of bovine embryos.

DeGNServer: deciphering genome-scale gene networks through high performance reverse engineering analysis

Analysis of genome-scale gene networks (GNs) using large-scale gene expression data provides unprecedented opportunities to uncover gene interactions and regulatory networks involved in various biological processes and developmental programs, leading to accelerated discovery of novel knowledge of various biological processes, pathways and systems. The widely used context likelihood of relatedness (CLR) method based on the mutual information (MI) for scoring the similarity of gene pairs is one of the accurate methods currently available for inferring GNs. However, the MI-based reverse engineering method can achieve satisfactory performance only when sample size exceeds one hundred. This in turn limits their applications for GN construction from expression data set with small sample size. We developed a high performance web server, DeGNServer, to reverse engineering and decipher genome-scale networks. It extended the CLR method by integration of different correlation methods that are suitable for analyzing data sets ranging from moderate to large scale such as expression profiles with tens to hundreds of microarray hybridizations, and implemented all analysis algorithms using parallel computing techniques to infer gene-gene association at extraordinary speed. In addition, we integrated the SNBuilder and GeNa algorithms for subnetwork extraction and functional module discovery. DeGNServer is publicly and freely available online.