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单细胞测序技术在慢性阻塞性肺疾病研究中的应用进展OA北大核心CSTPCD

Advances in the application of single-cell sequencing technology in the study of chronic obstructive pulmonary disease

中文摘要英文摘要

慢性阻塞性肺疾病简称慢阻肺病,是基因与环境相互作用导致的多基因疾病,以持续气流受限为主要临床特征.目前缺乏可靠的慢阻肺病的早期诊断方法,不能及时对早期慢阻肺病患者进行有效干预,无法阻止疾病的进展,导致其发病率、患病率和死亡率高,造成严重的疾病负担.随着人类细胞图谱计划的启动和测序技术的发展,单细胞测序的应用前景被广泛看好,它是在单个细胞水平上对基因组、转录组和蛋白质组等进行测序分析的一项新技术,够揭示单个细胞的基因结构和表达,发现细胞间的异质性和稀有细胞等.为研究新技术以助于深入研究慢阻肺病的发病机制、发现早期诊断方法及新的治疗方法,本文就单细胞测序技术及其在慢阻肺病研究中的应用进展进行综述.

Chronic obstructive pulmonary disease(COPD)is a polygenic disease caused by the interaction of genes and envi-ronment,with persistent airflow limitation as the main clinical feature.There is a lack of reliable methods for early diagnosis of COPD,which prevents timely and effective intervention in patients with early COPD and fails to stop the progression of the dis-ease,resulting in its high morbidity,prevalence and mortality and causing a serious disease burden.With the launch of the Human Cell Atlas Project and the development of sequencing technology,the application prospect of single cell sequencing(SCS)is wide-ly looked forward to,which is a new technology for sequencing and analyzing genome,transcriptome and proteome at the level of single cell,enough to reveal the gene structure and expression of single cell,discover the heterogeneity between cells and rare cells,etc.It provides a new research technique for the in-depth study of the pathogenesis of chronic obstructive pulmonary disease,the discovery of early diagnosis methods and new treatment methods.In this paper,we review the progress of single-cell sequenc-ing technology and its application in the study of COPD.

杨泽华;丁毅鹏

海南省人民医院(海南医学院附属海南医院)呼吸与危重症医学科,海南 海口 570100

临床医学

单细胞测序技术慢性阻塞性肺疾病发病机制早期诊断应用

Single-cell sequencing technologyChronic obstructive pulmonary diseasePathogenesisEarly diagnosisAp-plications

《海南医学院学报》 2024 (008)

环状RNA hsa_circ_0008833编码小肽通过Capase-1促进支气管上皮细胞焦亡在COPD的机制研究

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This study was supported by National Natural Science Foundation of China(82160011) 国家自然科学基金资助项目(82160011)

10.13210/j.cnki.jhmu.20230816.001

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