空间蛋白组学在肾脏疾病中的应用进展  

Progress in the Application of Spatial Proteomics in Kidney Disease

作　　者：周凤英 郑雅心 晏强 邹耀霜 戴勇 邱晶 汤冬娥 ZHOU Fengying;ZHENG Yaxin;YAN Qiang;ZOU Yaoshuang;DAI Yong;QIU Jing;TANG Dong'e(Department of Organ Transplantation,the 924th Hospital of Joint Logistics Support Force of the PLA,Guilin,541002,China;College of Life Sciences,Guangxi Normal University,Guilin 541006,China;Department of Medicine,Anhui University of Science&Technology,Huainan 232001,China;Department of Burns and Wound Repair Surgery,Shenzhen People's Hospital/the Second Clinical Medical College of Jinan University,Shenzhen 518020,China;Central Laboratory,Shenzhen People's Hospital/the Second Clinical Medical College of Jinan University,Shenzhen 518020,China;Guangdong Provincial Autoimmune Disease Precision Medicine Engineering Research Center,Shenzhen Autoimmune Disease Engineering Research Center,Shenzhen 518020,China)

机构地区：[1]联勤保障部队第九二四医院器官移植科,广西桂林541002 [2]广西师范大学生命科学学院,广西桂林541006 [3]安徽理工大学医学部,安徽淮南232001 [4]深圳市人民医院暨南大学第二临床医学院烧伤与创面修复外科,广东深圳518020 [5]深圳市人民医院暨南大学第二临床医学院中心实验室,广东深圳518020 [6]广东省自身免疫性疾病精准医疗工程技术研究中心,深圳市自身免疫病工程研究中心,广东深圳518020

出　　处：《医学综述》2025年第5期513-517,共5页Medical Recapitulate

基　　金：深圳市科技计划项目(GJHZ20220913142614027,JCYJ20210324113214039);桂林市技术应用与推广计划(20220139-1-1)。

摘　　要：蛋白质在生物体中执行多种关键功能,但不同位置蛋白质的功能和分布差异显著,传统蛋白质组学难以解析这种空间特异性。空间蛋白组学是一种新兴技术,能够在细胞和组织的空间背景下研究蛋白质的表达与分布。近年来,空间蛋白组学在肾脏疾病的研究中展现出巨大潜力,它在揭示疾病发生机制、探索生物标志物等方面取得了显著进展,但其应用仍面临一系列挑战,包括复杂的数据分析、多组学数据的整合难题以及跨学科合作的需求。空间蛋白组学的发展将进一步推动肾脏疾病的诊断与治疗。Proteins perform multiple key functions in organisms,but the functions and distribution of proteins at different locations vary significantly,and it is difficult for traditional proteomics to decipher this spatial specificity.Space proteomics is an emerging technology that can study the expression and distribution of proteins in the spatial context of cells and tissues.In recent years,spatial proteomics has shown great potential in the study of kidney diseases,making significant progress in revealing disease mechanisms and exploring biomarkers etc.However,its application still faces a series of challenges,including complex data analysis,integration of multi-omics data,and the need for interdisciplinary cooperation.The development of spatial proteomics will further promote the diagnosis and treatment of kidney diseases.

关 键 词：肾脏疾病 空间蛋白组学 疾病机制 生物标志物 

分 类 号：R692[医药卫生—泌尿科学]