Chatterjee Bhaswati, Thakur Suman S
National Institute of Animal Biotechnology (NIAB), Hyderabad, India.
Centre for Cellular and Molecular Biology, Hyderabad, India.
Front Cell Dev Biol. 2024 Aug 2;12:1377172. doi: 10.3389/fcell.2024.1377172. eCollection 2024.
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 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.
怀孕是一个复杂的过程，涉及复杂的分子相互作用网络，如微小RNA（miRNA）与蛋白质、蛋白质与蛋白质、代谢物与代谢物以及蛋白质与代谢物之间的相互作用。技术的进步使得在奶牛中鉴定出许多与怀孕相关的miRNA、蛋白质和代谢物指纹成为可能。本文描述了奶牛怀孕早期产生的一系列miRNA、蛋白质和代谢物指纹。我们发现了miRNA与蛋白质、蛋白质与蛋白质、代谢物与代谢物以及蛋白质与代谢物之间的相互作用网络。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相互作用组。这个相互作用组是通过手动将bta-miR-423-3p与IGFBP2之间形成的相互作用网络以及IGFBP2与PGF2α之间的相互作用网络结合起来得到的，其中IGFBP2作为与bta-miR-423-3p和PGF2α的共同相互作用体，并参考了提供的证据来源。bta-miR-423-3p与IGFBP2之间的相互作用有许多证据来源，包括miRanda得分高达169、最小自由能（MFE）得分为-25.14、结合概率（p）为1以及能量为-25.5。IGFBP2与PGF2α之间的相互作用以高置信度得分（≥0.7或70%）出现。有趣的是，还发现PGF2α与不同的代谢物相互作用，如PGF2α与PGD2、PGF2α与血栓素B2、PGF2α与PGE2以及PGF2α与6-酮-PGF1α之间的相互作用，其置信度得分也很高（≥0.7或70%）。此外，C3与PGE2、C3与PGD2、PGE2与PGD2、PGD2与血栓素B2、PGE2与血栓素B2、6-酮-PGF1α与血栓素B2以及PGE2与6-酮-PGF1α之间的相互作用也以高置信度得分（≥0.7或70%）获得。因此，我们提出，涉及奶牛怀孕早期的miRNA、蛋白质和代谢物指纹（如bta-miR-423-3p、IGFBP2、PGF2α、PGD2、C3、PGE2、6-酮-PGF1α和血栓素B2）的miRNA-蛋白质-代谢物相互作用组可能构成奶牛怀孕调节的关键调控网络和参与者。这是第一项涉及在奶牛怀孕早期获得的miRNA-蛋白质-代谢物相互作用组的研究。
