Lin Jiajing, Liu Li, Zheng Fengque, Chen Saiqiong, Yang Weiwei, Li Jingjing, Mo Steven, Zeng Ding-Yuan
Department of Obstetrics and Gynecology, No. 4th Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
Department of Gynecology, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.
Front Genet. 2022 Oct 17;13:1020757. doi: 10.3389/fgene.2022.1020757. eCollection 2022.
Adenomyosis (AM) is a common benign uterine disease that threatens the normal life of patients. Cells associated with microenvironmental immune ecology are crucial in AM, although they are not as well understood at the cellular level. Single-cell sequencing (scRNA-seq) data were used to construct an AM global single-cell map, to further identify relevant cell clusters and infer chromosomal copy number variation (CNV) in AM samples. The biological functions of cell clusters were explored and cellular evolutionary processes were inferred by enrichment analysis and pseudotime analysis. In addition, a gene regulatory network (GRN) analysis was constructed to explore the regulatory role of transcription factors in AM progression. We obtained the expression profiles of 42260 cells and identified 10 cell clusters. By comparing the differences in cell components between AM patients and controls, we found that significant abundance of endometrial cells (EC), epithelial cells (Ep), endothelial cells (En), and smooth muscle cells (SMC) in AM patients. Cell clusters with high CNV levels possessing tumour-like features existed in the ectopic endometrium samples. Moreover, the Ep clusters were significantly involved in leukocyte transendothelial cell migration and apoptosis, suggesting an association with cell apoptosis and migration. En clusters were mainly involved in pathways in cancer and apoptosis, indicating that En has certain malignant features. This study identified cell clusters with immune-related features, investigated the changes in the immune ecology of the microenvironment of these cells during AM, and provided a new strategy for the treatment of AM.
子宫腺肌病(AM)是一种常见的良性子宫疾病,威胁着患者的正常生活。与微环境免疫生态相关的细胞在AM中至关重要,尽管在细胞水平上对它们的了解还不够深入。利用单细胞测序(scRNA-seq)数据构建AM全局单细胞图谱,以进一步识别相关细胞簇并推断AM样本中的染色体拷贝数变异(CNV)。通过富集分析和拟时间分析探索细胞簇的生物学功能并推断细胞进化过程。此外,构建基因调控网络(GRN)分析以探索转录因子在AM进展中的调控作用。我们获得了42260个细胞的表达谱并鉴定出10个细胞簇。通过比较AM患者和对照组之间细胞成分的差异,我们发现AM患者的子宫内膜细胞(EC)、上皮细胞(Ep)、内皮细胞(En)和平滑肌细胞(SMC)显著丰富。异位子宫内膜样本中存在具有肿瘤样特征的高CNV水平细胞簇。此外,Ep簇显著参与白细胞跨内皮细胞迁移和凋亡,表明与细胞凋亡和迁移有关。En簇主要参与癌症和凋亡途径,表明En具有一定的恶性特征。本研究鉴定了具有免疫相关特征的细胞簇,研究了这些细胞在AM过程中微环境免疫生态的变化,并为AM的治疗提供了新策略。