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作 者:谢佳翊 王真真 沈雪 XIE Jia-yi;WANG Zhen-zhen;SHEN Xue(Graduate Training Base,Xiangyang No.1 People′s Hospital,Jinzhou Medical University,Xiangyang 441100,Huibei,China)
机构地区:[1]锦州医科大学襄阳市第一人民医院研究生培养基地,湖北襄阳441100 [2]湖北医药学院附属襄阳市第一人民医院妇产科,湖北襄阳441100
出 处:《广东医学》2024年第7期867-872,共6页Guangdong Medical Journal
基 金:2021年度襄阳市第一人民医院科技创新项目(XYY2021Q14)。
摘 要:目的通过TMT定量蛋白组学技术探究子宫腺肌病子宫肌层组织的差异表达蛋白,并采用生物信息学分析差异信号通路。方法收集30例子宫腺肌病患者的子宫肌层组织和30例非子宫腺肌病患者子宫肌层组织,采用TMT定量蛋白组学技术研究两组间的差异表达蛋白,再利用GO和KEGG分析软件对差异表达蛋白进行生物信息学分析,并应用Western blot对选取的差异表达蛋白进行验证。结果根据TMT蛋白组学技术共鉴定出62个差异表达蛋白,包括7个上调蛋白和55个下调蛋白。KEGG富集分析表明,多种免疫信号通路和钙信号通路等与子宫腺肌病相关。最后选择3个最显著上调的差异表达蛋白EIF4G1、CAPN2、ALG13,和3个最显著下调的差异表达蛋白Clusterin、GAS1、SAP进行Western blot验证,其结果与蛋白组学结果一致,差异均有统计学意义(P<0.05)。结论运用TMT定量蛋白组学技术筛选出子宫腺肌病的多个差异表达蛋白,并发现这些蛋白参与多种免疫信号通路,为该病发病机制及治疗靶点提供了研究方向。Objective To explore the differential expression proteins in uterine myometrial tissues of adenomyosis using TMT quantitative proteomics technology and to analyze the differential signaling pathways using bioinformatics.Methods Uterine myometrial tissues from 30 patients with adenomyosis and 30 patients without adenomyosis were collected.TMT quantitative proteomics technology was used to study the differential expression proteins between the two groups.Bioinformatics analysis of the differential expression proteins was performed using GO and KEGG analysis software.Western blot was used to validate the selected differential expression proteins.Results A total of 62 differentially expressed proteins were identified using TMT proteomics technology,including 7 up-regulated proteins and 55 down-regulated proteins.KEGG enrichment analysis showed that various immune signaling pathways and calcium signaling pathways were associated with adenomyosis.Finally,three significantly up-regulated differential expression proteins(EIF4G1,CAPN2,ALG13)and three significantly down-regulated differential expression proteins(Clusterin,GAS1,SAP)were selected for Western blot validation,and the results were consistent with the proteomic results,with statistically significant differences(P<0.05).Conclusion TMT quantitative proteomics technology identified multiple differentially expressed proteins in adenomyosis and revealed their involvement in various immune signaling pathways,providing research directions for the pathogenesis and treatment targets of this disease.
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