NetPipe

Abstract

The regulatory mechanism of is one of the most fundamental problems in genomics, with wide applications in genome wide association studies (GWAS), birth-defect diseases, molecular evolution, cancer research, etc. Recombination events cluster into short genomic regions called recombination in mammalian genomes. Recently, a zinc finger protein PRDM9 was reported to regulate hotspots in human and mouse genomes. In addition, a 13-mer motif contained in the binding sites of PRDM9 is also enriched in human hotspots. However, this 13-mer motif only covers a fraction of hotspots, indicating that PRDM9 is not the only regulator of hotspots. Therefore, discovery of other regulators of hotspots becomes a current challenge. Meanwhile, is a complex process unlikely to be regulated by individual proteins. Rather, multiple proteins need to act in concert as a molecular machinery to carry out the process accurately and stably. As such, the extension of the prediction of individual proteins to protein complexes is also highly desired. In this paper, we propose a network-based pipeline named NetPipe to identify protein complexes associated with meiotic hotspots. Previously, we associated proteins with hotspots using the binding information between these proteins and hotspots. Here, we exploited protein-protein interaction (PPI) data to prioritize many more other proteins without such binding information. Furthermore, we detected protein complexes conserved between human and mouse that are associated with hotspots. Evaluation results show that the top genes ranked in PPI networks have significant relations to related GO terms. In addition, individual genes in the multi-protein complexes detected by NetPipe are enriched with epigenetic functions, providing more insights into the epigenetic regulatory mechanisms of hotspots.