State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Department of Conservative Dentistry and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Dis Markers. 2022 Jun 6;2022:7222092. doi: 10.1155/2022/7222092. eCollection 2022.
Long noncoding RNAs (lncRNAs) are emerging as critical regulators of various biological processes, including immune regulation.
Due to the critical significance of immunological responses in the development and progression of pulpitis, we used an integrated algorithm to identify immune-related lncRNAs and then examined the lncRNA-immunity regulation network in pulpitis. Before identifying immune-related lncRNAs, the data from GEO datasets were precleaned. ConsensusClusterPlus was used to differentiate immune-related pulpitis subgroups. Enrichment analysis using GO and MSigDB databases was employed to determine the differences in molecular function, cellular component, and biological process between the two pulpitis subtypes.
An integrated algorithm was designed to filtrate immune-related lncRNAs accurately. 790 immune-related lncRNAs were found in 17 immunological categories, with 38 of them perturbated in pulpitis. The Cytoscape software was used to visualize the relationship between representative immune regulatory pathways and immune-related lncRNAs. Two immune-related pulpitis subtypes were discovered using differentially expressed immune-related lncRNAs. Subtype 2 has a stronger association with immune-related pathways than subtype 1 does.
Our study identified many immune-related lncRNAs and investigated potential lncRNA regulation networks; meanwhile, the molecular subtypes of pulpitis were identified, all of which will be relevant for further research into inflammatory and immunological processes in pulpitis.
长链非编码 RNA(lncRNA)作为多种生物学过程的关键调控因子,包括免疫调节,正在逐渐受到重视。
由于免疫反应在牙髓炎的发生和发展中具有至关重要的意义,我们使用整合算法来鉴定免疫相关的 lncRNA,并进一步研究牙髓炎中的 lncRNA-免疫调控网络。在鉴定免疫相关 lncRNA 之前,我们对 GEO 数据集的数据进行了预处理。使用 ConsensusClusterPlus 区分免疫相关牙髓炎的亚群。使用 GO 和 MSigDB 数据库进行富集分析,以确定两种牙髓炎亚型之间在分子功能、细胞组成和生物过程方面的差异。
设计了一种整合算法来准确筛选免疫相关 lncRNA。在 17 个免疫类别中发现了 790 个免疫相关 lncRNA,其中 38 个在牙髓炎中失调。使用 Cytoscape 软件可视化代表性免疫调节途径和免疫相关 lncRNA 之间的关系。使用差异表达的免疫相关 lncRNA 发现了两种免疫相关牙髓炎亚型。与亚型 1 相比,亚型 2 与免疫相关途径的相关性更强。
本研究鉴定了许多免疫相关 lncRNA,并研究了潜在的 lncRNA 调控网络;同时,鉴定了牙髓炎的分子亚型,这将有助于进一步研究牙髓炎中的炎症和免疫过程。