Laboratorio de Fibrosis y Cáncer, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca 68120, Mexico.
Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca 68020, Mexico.
Int J Mol Sci. 2022 May 1;23(9):5032. doi: 10.3390/ijms23095032.
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, irreversible lung disorder of unknown cause. This disease is characterized by profibrotic activation of resident pulmonary fibroblasts resulting in aberrant deposition of extracellular matrix (ECM) proteins. However, although much is known about the pathophysiology of IPF, the cellular and molecular processes that occur and allow aberrant fibroblast activation remain an unmet need. To explore the differentially expressed proteins (DEPs) associated with aberrant activation of these fibroblasts, we used the IPF lung fibroblast cell lines LL97A (IPF-1) and LL29 (IPF-2), compared to the normal lung fibroblast cell line CCD19Lu (NL-1). Protein samples were quantified and identified using a label-free quantitative proteomic analysis approach by liquid chromatography-tandem mass spectrometry (LC-MS/MS). DEPs were identified after pairwise comparison, including all experimental groups. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-Protein Interaction (PPI) network construction were used to interpret the proteomic data. Eighty proteins expressed exclusively in the IPF-1 and IPF-2 clusters were identified. In addition, 19 proteins were identified up-regulated in IPF-1 and 10 in IPF-2; 10 proteins were down-regulated in IPF-1 and 2 in IPF-2 when compared to the NL-1 proteome. Using the search tool for retrieval of interacting genes/proteins (STRING) software, a PPI network was constructed between the DEPs and the 80 proteins expressed exclusively in the IPF-2 and IPF-1 clusters, containing 115 nodes and 136 edges. The 10 hub proteins present in the IPP network were identified using the CytoHubba plugin of the Cytoscape software. GO and KEGG pathway analyses showed that the hub proteins were mainly related to cell adhesion, integrin binding, and hematopoietic cell lineage. Our results provide relevant information on DEPs present in IPF lung fibroblast cell lines when compared to the normal lung fibroblast cell line that could play a key role during IPF pathogenesis.
特发性肺纤维化(IPF)是一种病因不明的慢性、进行性、不可逆转的肺部疾病。这种疾病的特征是肺固有成纤维细胞的促纤维化激活,导致细胞外基质(ECM)蛋白的异常沉积。然而,尽管人们对 IPF 的病理生理学有了很多了解,但导致异常成纤维细胞激活的细胞和分子过程仍然是一个未满足的需求。为了探讨与这些成纤维细胞异常激活相关的差异表达蛋白(DEPs),我们使用了 IPF 肺成纤维细胞系 LL97A(IPF-1)和 LL29(IPF-2),与正常肺成纤维细胞系 CCD19Lu(NL-1)进行了比较。使用无标记定量蛋白质组学分析方法,通过液相色谱-串联质谱(LC-MS/MS)对蛋白质样品进行定量和鉴定。通过两两比较,包括所有实验组,鉴定出差异表达蛋白。使用基因本体论(GO)富集分析、京都基因与基因组百科全书(KEGG)和蛋白质-蛋白质相互作用(PPI)网络构建来解释蛋白质组学数据。鉴定出 80 种仅在 IPF-1 和 IPF-2 聚类中表达的蛋白质。此外,在 IPF-1 中上调 19 种蛋白,在 IPF-2 中上调 10 种蛋白;与 NL-1 蛋白质组相比,在 IPF-1 中下调 10 种蛋白,在 IPF-2 中下调 2 种蛋白。使用检索相互作用基因/蛋白质的搜索工具(STRING)软件构建了 DEPs 与仅在 IPF-2 和 IPF-1 聚类中表达的 80 种蛋白质之间的 PPI 网络,包含 115 个节点和 136 个边。使用 Cytoscape 软件的 CytoHubba 插件鉴定出 PPI 网络中的 10 个枢纽蛋白。GO 和 KEGG 通路分析表明,枢纽蛋白主要与细胞黏附、整合素结合和造血细胞谱系有关。与正常肺成纤维细胞系相比,我们的结果提供了 IPF 肺成纤维细胞系中差异表达蛋白的相关信息,这些蛋白可能在 IPF 发病机制中发挥关键作用。