UNASSIGNED: RNA sequencing was employed to evaluate the transcriptomic alterations of the SAB in individuals afflicted with degenerative rotator cuff tear (RCT), traumatic RCT and proximal humerus fracture (PHF). To gain insights into the biological significance of differentially expressed genes (DEGs), we conducted an enrichment analysis utilizing Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. We further utilized single-cell RNA sequencing datasets of SAB from a recently published study to explore the associated cellular dynamics and alterations.
UNASSIGNED: We detected 1,790 up-regulated and 1,964 down-regulated DEGs between degenerative RCT and PHF, 2,085 up-regulated and 1,919 down-regulated DEGs between degenerative RCT and traumatic RCT, and 20 up-regulated and 12 down-regulated DEGs between traumatic RCT and PHF. Given the similar expression pattern between traumatic RCT and PHF, they were integrated as the traumatic group. In comparison with the traumatic group, 1,983 up-regulated and 2,205 down-regulated DEGs were detected in degenerative SAB. Enrichment analysis of up-regulated DEGs uncovered an elevated inflammatory and immunologic responses in degenerative SAB. Single-cell transcriptomic analysis revealed macrophage represented the immune cell with the most DEGs between the degenerative and traumatic RCT.
UNASSIGNED: Our results revealed that the SAB in degenerative RCT exhibited a different transcriptional signature compared to that in traumatic RCT, and enrichment analysis showed immunologic and inflammatory activations. Macrophages may play a fundamental role in this process.
■RNA测序用于评估患有退行性肩袖撕裂(RCT)的个体中SAB的转录组改变,创伤性RCT和肱骨近端骨折(PHF)。为了深入了解差异表达基因(DEGs)的生物学意义,我们利用基因本体论(GO)术语和京都基因和基因组百科全书(KEGG)途径进行了富集分析.我们进一步利用来自最近发表的研究的SAB的单细胞RNA测序数据集来探索相关的细胞动力学和改变。
■我们在退行性RCT和PHF之间检测到1,790个上调和1,964个下调的DEGs,退行性RCT和创伤性RCT之间的2,085个上调和1,919个下调的DEGs,创伤性RCT和PHF之间有20个上调和12个下调的DEGs。鉴于创伤性RCT和PHF之间的相似表达模式,他们被整合为创伤群体。与创伤组相比,在退行性SAB中检测到1,983个上调和2,205个下调的DEGs。上调的DEGs的富集分析揭示了退行性SAB中炎症和免疫反应的升高。单细胞转录组分析显示,巨噬细胞代表了变性和创伤性RCT之间DEGs最多的免疫细胞。
■我们的结果表明,与创伤性RCT相比,退行性RCT中的SAB表现出不同的转录特征,和富集分析显示免疫和炎症激活。巨噬细胞可能在这一过程中起着重要作用。