In-depth analysis of miRNA binding sites reveals the complex response of uterine epithelium to miR-26a-5p and miR-125b-5p during early pregnancy.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2024-11-11 DOI:10.1016/j.mcpro.2024.100879
Kamil Myszczynski, Joanna Szuszkiewicz, Kamil Krawczynski, Małgorzata Sikora, Marta Romaniewicz, Maria M Guzewska, Piotr Zabielski, Monika M Kaczmarek
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Abstract

Post-transcriptional regulation of gene expression by miRNAs likely makes significant contributions to mRNA abundance at the embryo-maternal interface. In this study, we investigated how miR-26a-5p and miR-125b-5p contribute to molecular changes occurring in the uterine luminal epithelium, which serves as the first site of signal exchange between the mother and developing embryo. To measure de novo protein synthesis after miRNA delivery to primary uterine luminal epithelial cells, we employed pulsed stable isotope labeling by amino acids (pSILAC). We found that both miRNAs alter the proteome of luminal epithelial cells, impacting numerous cellular functions, immune responses, as well as intracellular and second messenger signaling pathways. Additionally, we identified several features of miRNA-mRNA interactions that may influence the targeting efficiency of miR-26a-5p and miR-125b-5p. Overall, our study suggests a complex interaction of miR-26a-5p and miR-125b-5p with their respective targets. However, both appear to cooperatively function in modulating the cellular environment of the luminal epithelium, facilitating the morphological and molecular changes that occur during the intensive communication between the embryo and uterus at pregnancy.

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对 miRNA 结合位点的深入分析揭示了妊娠早期子宫上皮对 miR-26a-5p 和 miR-125b-5p 的复杂反应。
miRNA 对基因表达的转录后调控可能对胚胎-母体界面的 mRNA 丰度有重大贡献。在这项研究中,我们研究了 miR-26a-5p 和 miR-125b-5p 如何促进子宫腔上皮发生的分子变化,子宫腔上皮是母体和发育中胚胎之间信号交流的第一站。为了测量将 miRNA 运送到原代子宫腔上皮细胞后从头合成蛋白质的情况,我们采用了脉冲式氨基酸稳定同位素标记(pSILAC)技术。我们发现,两种 miRNA 都会改变管腔上皮细胞的蛋白质组,影响多种细胞功能、免疫反应以及细胞内和第二信使信号通路。此外,我们还发现了可能影响 miR-26a-5p 和 miR-125b-5p 靶向效率的 miRNA-mRNA 相互作用的几个特征。总之,我们的研究表明,miR-26a-5p 和 miR-125b-5p 与各自的靶标之间存在着复杂的相互作用。然而,两者似乎在调节管腔上皮细胞环境方面发挥着合作作用,促进了胚胎和子宫在妊娠期密集交流过程中发生的形态和分子变化。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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