천식 연구에서 사용되는 단일세포 RNA 시퀀싱 분석
Single cell RNA sequencing used in asthma research
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초록
Asthma is an allergic disease characterized by chronic inflammation of the airways, leading to bronchoconstriction and excessive mucus production with symptoms of dyspnea, wheezing, and cough. It involves various underlying mechanisms such as eosinophilic, neutrophilic, mixed, and pauci-cellular, exercise-induced, occupational, and obesity-related asthma. Asthma is a mostly reversible condition involving several cells and cytokines, leading to chronic airway inflammatory responses, and showing the diversity in asthma phenotypes and complexity. Recent advancements using single-cell RNA sequencing allow distinguishing and analyzing RNA sequences at each cellular level within complex and heterogeneous cell groups. This method has also been applied to study asthma mechanisms, enabling us to predict intercellular interactions triggering asthma and identifying cellular changes characterized by specific molecular-cellular phenotypes. In our study, according to the PRISMA (preferred reporting items from systematic review and meta-analysis) guidelines, we systematically reviewed trends in asthma-related immune and structural cell research using single cell RNA sequencing, highlighting potential therapeutic interventions, and pinpointing opportunities for novel biomarker discovery.
Abstract
Asthma is an allergic disease characterized by chronic inflammation of the airways, leading to bronchoconstriction and excessive mucus production with symptoms of dyspnea, wheezing, and cough. It involves various underlying mechanisms such as eosinophilic, neutrophilic, mixed, and pauci-cellular, exercise-induced, occupational, and obesity-related asthma. Asthma is a mostly reversible condition involving several cells and cytokines, leading to chronic airway inflammatory responses, and showing the diversity in asthma phenotypes and complexity. Recent advancements using single-cell RNA sequencing allow distinguishing and analyzing RNA sequences at each cellular level within complex and heterogeneous cell groups. This method has also been applied to study asthma mechanisms, enabling us to predict intercellular interactions triggering asthma and identifying cellular changes characterized by specific molecular-cellular phenotypes. In our study, according to the PRISMA (preferred reporting items from systematic review and meta-analysis) guidelines, we systematically reviewed trends in asthma-related immune and structural cell research using single cell RNA sequencing, highlighting potential therapeutic interventions, and pinpointing opportunities for novel biomarker discovery.
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