Spatial transcriptomics:recent developments and insights in respiratory research

作     者：Wen-Jia Wang Liu-Xi Chu Li-Yong He Ming-Jing Zhang Kai-Tong Dang Chen Gao Qin-Yu Ge Zhou-Guang Wang Xiang-Wei Zhao Wen-Jia Wang;Liu-Xi Chu;Li-Yong He;Ming-Jing Zhang;Kai-Tong Dang;Chen Gao;Qin-Yu Ge;Zhou-Guang Wang;Xiang-Wei Zhao

作者机构：State Key Laboratory of BioelectronicsSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjing 210096China Oujiang Laboratory(Zhejiang Lab for Regenerative MedicineVision and Brain Health)School of Pharmaceutical SciencesWenzhou Medical UniversityWenzhou 325035ZhejiangChina Orthopaedic Bioengineering Research GroupDivision of Surgery and Interventional ScienceUniversity College LondonLondon HA74LPUK 

出 版 物：《Military Medical Research》 (军事医学研究（英文版）)

年 卷 期：2024年第11卷第3期

页      面：430-448页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China(82271629) the Central Funds Guiding the Local Science and Technology Development of Shenzhen(2021Szvup024) the Jiangsu Provincial Key Research and Development Program(BE2021664) the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX23_0312) 

主　　题：Spatial transcriptomics Lung Tumor Spatial multi-omics 

摘      要：The respiratory system s complex cellular heterogeneity presents unique challenges to researchers in this *** bulk RNA sequencing and single-cell RNA sequencing(scRNA-seq)have provided insights into cell types and heterogeneity in the respiratory system,the relevant specific spatial localization and cellular interactions have not been clearly *** transcriptomics(ST)has filled this gap and has been widely used in respiratory *** review focuses on the latest iterative technology of ST in recent years,summarizing how ST can be applied to the physiological and pathological processes of the respiratory system,with emphasis on the ***,the current challenges and potential development directions are proposed,including high-throughput full-length transcriptome,integration of multi-omics,temporal and spatial omics,bioinformatics analysis,*** viewpoints are expected to advance the study of systematic mechanisms,including respiratory studies.