怀孕是一个复杂的过程,涉及复杂的分子相互作用网络,例如在miRNA-蛋白质之间,蛋白质-蛋白质,代谢物-代谢物,和蛋白质-代谢物相互作用。技术的进步已经导致许多妊娠相关微小RNA(miRNA)的鉴定,蛋白质,和奶牛的代谢物指纹。一系列miRNA,蛋白质,描述了奶牛怀孕早期产生的代谢物指纹。我们已经发现了miRNA-蛋白之间的相互作用网络,蛋白质-蛋白质,代谢物-代谢物,和蛋白质代谢产物.我们手动构建了miRNA-蛋白质-代谢物相互作用网络,如bta-miR-423-3p-IGFBP2-PGF2α相互作用细胞。该相互作用组是通过手动组合bta-miR-423-3p-IGFBP2之间形成的相互作用网络和IGFBP2-PGF2α与IGFBP2之间的相互作用网络作为与bta-miR-423-3p和PGF2α的常见相互作用者与所提供的证据来源。bta-miR-423-3p与IGFBP2之间的相互作用具有许多证据来源,包括169的高miRanda评分,-25.14的最小自由能(MFE)评分,1的结合概率(p)和-25.5的能量。IGFBP2和PGF2α之间的相互作用发生在高置信度分数(≥0.7或70%)。有趣的是,还发现PGF2α与不同的代谢物相互作用,如PGF2α-PGD2,PGF2α-血栓烷B2,PGF2α-PGE2和PGF2α-6-酮-PGF1α,置信度高(≥0.7%或70%).此外,C3-PGE2,C3-PGD2,PGE2-PGD2,PGD2-血栓素B2,PGE2-血栓素B2,6-酮-PGF1α-血栓素B2和PGE2-6-酮-PGF1α之间的相互作用也获得了高置信度评分(≥0.7%或70%).因此,我们认为miRNA-蛋白质-代谢物间相互作用涉及miRNA,蛋白质,和奶牛早期妊娠的代谢物指纹,如bta-miR-423-3p,IGFBP2,PGF2α,PGD2,C3,PGE2,6-酮-PGF1alpha,和血栓烷B2可能形成奶牛妊娠调节的关键调节网络和参与者。这是涉及在奶牛妊娠早期获得的miRNA-蛋白质-代谢物间体组的第一项研究。
Pregnancy is a complex process involving complex molecular interaction networks, such as between miRNA-protein, protein-protein, metabolite-metabolite, and protein-metabolite interactions. Advances in technology have led to the identification of many pregnancy-associated microRNA (miRNA), protein, and metabolite fingerprints in dairy cows. An array of miRNA, protein, and metabolite fingerprints produced during the early pregnancy of dairy cows were described. We have found the in silico interaction networks between miRNA-protein, protein-protein, metabolite-metabolite, and protein-metabolite. We have manually constructed miRNA-protein-metabolite interaction networks such as bta-miR-423-3p-IGFBP2-PGF2α interactomes. This interactome is obtained by manually combining the interaction network formed between bta-miR-423-3p-IGFBP2 and the interaction network between IGFBP2-PGF2α with IGFBP2 as a common interactor with bta-miR-423-3p and PGF2α with the provided sources of evidence. The interaction between bta-miR-423-3p and IGFBP2 has many sources of evidence including a high miRanda score of 169, minimum free energy (MFE) score of -25.14, binding probability (p) of 1, and energy of -25.5. The interaction between IGFBP2 and PGF2α occurs at high confidence scores (≥0.7 or 70%). Interestingly, PGF2α is also found to interact with different metabolites, such as PGF2α-PGD2, PGF2α-thromboxane B2, PGF2α-PGE2, and PGF2α-6-keto-PGF1α at high confidence scores (≥0.7 or 70%). Furthermore, the interactions between C3-PGE2, C3-PGD2, PGE2-PGD2, PGD2-thromboxane B2, PGE2-thromboxane B2, 6-keto-PGF1α-thromboxane B2, and PGE2-6-keto-PGF1α were also obtained at high confidence scores (≥0.7 or 70%). Therefore, we propose that miRNA-protein-metabolite interactomes involving miRNA, protein, and metabolite fingerprints of early pregnancy of dairy cows such as bta-miR-423-3p, IGFBP2, PGF2α, PGD2, C3, PGE2, 6-keto-PGF1 alpha, and thromboxane B2 may form the key regulatory networks and players of pregnancy regulation in dairy cows. This is the first study involving miRNA-protein-metabolite interactomes obtained in the early pregnancy stage of dairy cows.