Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Shi-Xia Liao, Lan-Ying Zhang, Ling-Mei Shi, Huai-Yu Hu, Yan-Hui Gu, Ting-Hua Wang, Yao Ouyang, Peng-Peng Sun
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引用次数: 0

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous lung disease influenced by epigenetic modifications, particularly RNA methylation. Emerging evidence also suggests that autophagy plays a crucial role in immune cell infiltration and is implicated in COPD progression. This study aimed to investigate key RNA methylation regulators and explore the roles of RNA methylation and autophagy in COPD pathogenesis. We analyzed tissue-based bulk RNA sequencing and single-cell RNA sequencing (scRNA-seq) datasets from COPD and non-COPD patients, sourced from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified between COPD and non-COPD samples, and protein-protein interaction networks were constructed. Univariate logistic regression identified shared genes between DEGs and RNA methylation gene sets. Functional enrichment analyses, including Gene Ontology (GO), gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA), were performed. Weighted gene co-expression network analysis (WGCNA) and immune infiltration analysis were conducted. Integration with scRNA-seq data further elucidated changes in immune cell composition, and cell communication analysis assessed interactions between macrophages and other immune cells. AddModuleScore analysis quantified RNA methylation and autophagy effects. Finally, a COPD mouse model was used to validate the expression of critical RNA methylation genes (FTO and IGF2BP2) in lung macrophages via RT-qPCR and flow cytometry. As revealed, we identified 13 RNA methylation-related genes enriched in translation and methylation processes. GSEA and GSVA revealed significant enrichment of these genes in immune and autophagy pathways. WGCNA analysis pinpointed key hub genes linking RNA methylation and autophagy. Integrated scRNA-seq analysis demonstrated a marked reduction of macrophages in COPD, with FTO and IGF2BP2 emerging as critical RNA methylation regulators. Macrophages with elevated RNA methylation and autophagy scores had increased interactions with other immune cells. In COPD mouse models, decreased expression of FTO and IGF2BP2 in lung macrophages was validated. Taken together, this study highlights the significant roles of RNA methylation in relation to autophagy pathways in the context of COPD. We identified key RNA methylation-related hub genes, such as FTO and IGF2BP2, which were found to have decreased expression in COPD macrophages. These findings provide novel genetic insights into the epigenetic mechanisms of COPD and suggest potential avenues for developing diagnostic and therapeutic strategies.

整合整体和单细胞RNA测序数据:揭示慢性阻塞性肺疾病患者的RNA甲基化和自噬相关特征
慢性阻塞性肺疾病(COPD)是一种受表观遗传修饰,特别是RNA甲基化影响的异质性肺部疾病。新出现的证据还表明,自噬在免疫细胞浸润中起着至关重要的作用,并与COPD的进展有关。本研究旨在研究关键的RNA甲基化调节因子,探讨RNA甲基化和自噬在COPD发病机制中的作用。我们分析了来自COPD和非COPD患者的基于组织的大量RNA测序和单细胞RNA测序(scRNA-seq)数据集,这些数据来自基因表达Omnibus (GEO)数据库。在COPD和非COPD样本之间鉴定差异表达基因(DEGs),并构建蛋白-蛋白相互作用网络。单变量逻辑回归确定了DEGs和RNA甲基化基因集之间的共享基因。功能富集分析,包括基因本体(GO)、基因集富集分析(GSEA)和基因集变异分析(GSVA)。加权基因共表达网络分析(WGCNA)和免疫浸润分析。与scRNA-seq数据的整合进一步阐明了免疫细胞组成的变化,细胞通讯分析评估了巨噬细胞与其他免疫细胞之间的相互作用。AddModuleScore分析量化了RNA甲基化和自噬效应。最后,利用COPD小鼠模型,通过RT-qPCR和流式细胞术验证肺巨噬细胞中关键RNA甲基化基因(FTO和IGF2BP2)的表达。结果表明,我们鉴定了13个RNA甲基化相关基因,这些基因在翻译和甲基化过程中富集。GSEA和GSVA显示这些基因在免疫和自噬途径中显著富集。WGCNA分析确定了连接RNA甲基化和自噬的关键枢纽基因。综合scRNA-seq分析显示,COPD患者巨噬细胞显著减少,FTO和IGF2BP2成为关键的RNA甲基化调节因子。RNA甲基化和自噬评分升高的巨噬细胞与其他免疫细胞的相互作用增加。在COPD小鼠模型中,证实肺巨噬细胞中FTO和IGF2BP2的表达降低。综上所述,本研究强调了RNA甲基化在COPD背景下自噬途径中的重要作用。我们发现关键的RNA甲基化相关中心基因,如FTO和IGF2BP2,在COPD巨噬细胞中表达降低。这些发现为COPD的表观遗传机制提供了新的遗传学见解,并为制定诊断和治疗策略提供了潜在的途径。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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