Protein Dynamic Landscape during Mouse Mammary Gland Development from Virgin to Pregnant, Lactating, and Involuting Stages

哺乳期 乳腺 内卷(密宗) 生物 断奶 内科学 STAT蛋白 内分泌学 怀孕 蛋白质组 细胞生物学 信号转导 车站3 生物信息学 医学 遗传学 神经科学 癌症 乳腺癌 意识
作者
Wenjing Wang,Shunbo Wang,Hao Wang,Enqin Zheng,Zhenfang Wu,Zicong Li
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:72 (13): 7546-7557 被引量:6
标识
DOI:10.1021/acs.jafc.3c09647
摘要

The mammary gland undergoes significant physiological changes as it undergoes a transition from virgin to pregnancy, lactation, and involution. However, the dynamic role of proteins in regulating these processes during mouse mammary gland development has not been thoroughly explored. In this study, we collected mouse mammary gland tissues from mature virgins aged 8-10 weeks (V), day 16 of pregnancy (P16d), day 12 of lactation (L12d), day 1 of forced weaning (FW 1d), and day 3 of forced weaning (FW 3d) stages for analysis using DIA-based quantitative proteomics technology. A total of 3,312 proteins were identified, of which 843 were DAPs that were categorized into nine clusters based on their abundance changes across developmental stages. Notably, DAPs in cluster 2, which peaked at the L12d stage, were primarily associated with mammary gland development and lactation. The protein-protein interaction network revealed that the epidermal growth factor (EGF) was central to this cluster. Our study provides a comprehensive overview of the mouse mammary gland development proteome and identifies some important proteins, such as EGF, Janus kinase 1 (JAK1), and signal transducer and activator of transcription 6 (STAT6) that may serve as potential targets for future research to provide guidelines for a deeper understanding of the developmental biology of mammary glands.
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