[通过单细胞 RNA 测序分析正常小鼠和糖尿病小鼠全厚皮肤缺损伤口中 CD34+ 细胞的类型和功能]。

J He, J R Wang, W J Gan, G Q Li, Q Xin, Z P Lin, S B Ruan, X D Chen
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引用次数: 0

摘要

目的通过单细胞 RNA 测序分析正常小鼠和糖尿病小鼠全厚皮肤缺损伤口中 CD34+ 细胞的类型和功能。研究方法本研究为实验研究。制备了 CD34+ 细胞系追踪小鼠,并实现了荧光条件下 CD34+ 细胞的可视化。6只7-8周龄的雄性CD34+细胞系追踪小鼠(糖尿病组)腹腔注射链脲佐菌素建立糖尿病模型,13周龄时在其背部制备全厚皮肤缺损伤口。另外 6 只 13 周龄的雄性 CD34+ 细胞系追踪小鼠(指定为对照组)背部也有全厚皮肤缺损伤口。在受伤后第 4 天(PID),从对照组的 3 只小鼠和糖尿病组的 2 只小鼠身上收集伤口组织,消化后制备单细胞悬浮液。使用荧光激活细胞分拣技术筛选 CD34+ 细胞,然后进行单细胞 RNA 测序。利用R编程语言中的Seurat 4.0.2程序对CD34+细胞类型进行降维、可视化和细胞聚类分析,并筛选和注释每个CD34+细胞亚群的标记基因。通过京都基因组百科全书(KEGG)和基因本体论(GO)富集分析,分析了两组小鼠伤口组织中CD34+成纤维细胞(Fbs)、平滑肌细胞(SMC)、角质形成细胞(KCs)和类软骨细胞(CLCs)的差异表达基因(DEGs),以探讨细胞功能。结果PID 4时,两组小鼠伤口组织中的CD34+细胞由7种细胞类型组成,分别是内皮细胞、Fbs、KCs、巨噬细胞、T细胞、SMCs和CLCs。其中,Fbs 又分为 5 个亚群。与对照组相比,糖尿病组小鼠伤口组织中 CD34+ 内皮细胞、Fbs 亚群 1、Fbs 亚群 4、KCs 和 CLCs 的比例增加,而 CD34+ Fbs 亚群 2、Fbs 亚群 3 和 SMCs 的比例下降。注释 CD34+ CLCs、内皮细胞、Fbs 亚群 1、Fbs 亚群 2、Fbs 亚群 3、Fbs 亚群 4、Fbs 亚群 5、KCs、巨噬细胞、SMCs 和 T 细胞的标记基因分别是转移相关肺腺癌转录本 1、脂肪酸结合蛋白 4、Gremlin 1、补体成分 4B、H19 母系表达印迹转录本、Dickkopf Wnt 信号通路抑制因子 2、纤维调节蛋白、角蛋白 5、CD74 分子、G 蛋白信号调节因子 5 和诱导性 T 细胞共刺激分子。KEGG和GO富集分析表明,与对照组相比,PID 4糖尿病组小鼠伤口组织CD34+ Fbs中具有显著差异表达(SDE)的DEGs在炎症反应、细胞外基质(ECM)组织、细胞增殖调控和衰老相关术语中显著富集(P值均为+ SMCs在细胞迁移相关术语中显著富集、KCs 在与线粒体功能、转录和神经退行性疾病相关的方面明显富集(P 值均为 + CLCs 在与节律调节、ECM 和病毒感染相关的方面明显富集(P 值均为 结论:CD34+细胞显示出高度异质性:CD34+细胞在正常小鼠和糖尿病小鼠全厚皮肤缺损伤口愈合过程中显示出高度异质性。两组小鼠伤口组织中 CD34+ 细胞亚群中具有 SDE 的 DEGs 功能明显富集,这与伤口愈合过程密切相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Analysis of the types and functions of CD34+ cells in full-thickness skin defect wounds of normal mice and diabetic mice by single-cell RNA sequencing].

Objective: To analyze the types and functions of CD34+ cells in full-thickness skin defect wounds of normal mice and diabetic mice by single-cell RNA sequencing. Methods: This study was an experimental study. The CD34+ cell lineage tracing mouse was produced, and the visualization of CD34+ cells under the fluorescent condition was realized. Six male CD34+ cell lineage tracing mice aged 7-8 weeks (designated as diabetic group) were intraperitoneally injected with streptozotocin to establish a diabetic model, and full-thickness skin defect wounds were prepared on their backs when they reached 13 weeks old. Another 6 male CD34+ cell lineage tracing mice aged 13 weeks (designated as control group) were also subjected to full-thickness skin defect wounds on their backs. On post-injury day (PID) 4, wound tissue was collected from 3 mice in control group and 2 mice in diabetic group, and digested to prepare single-cell suspensions. CD34+ cells were screened using fluorescence-activated cell sorting, followed by single-cell RNA sequencing. The Seurat 4.0.2 program in the R programming language was utilized for dimensionality reduction, visualization, and cell clustering analysis of CD34+ cell types, and to screen and annotate the marker genes for each CD34+ cell subpopulation. Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology (GO) enrichment analysis was performed to analyze the differentially expressed genes (DEGs) of CD34+ fibroblasts (Fbs), smooth muscle cells (SMCs), keratinocytes (KCs), and chondrocyte-like cells (CLCs) in the wound tissue of two groups of mice for exploring cellular functions. Results: On PID 4, CD34+ cells in the wound tissue of both groups of mice were consisted of 7 cell types, specifically endothelial cells, Fbs, KCs, macrophages, T cells, SMCs, and CLCs. Among these, Fbs were further classified into 5 subpopulations. Compared with those in control group, the proportions of CD34+ endothelial cells, Fbs subpopulation 1, Fbs subpopulation 4, KCs, and CLCs in the wound tissue of mice were increased in diabetic group, while the proportions of CD34+ Fbs subpopulation 2, Fbs subpopulation 3, and SMCs were decreased. The marker genes for annotating CD34+ CLCs, endothelial cells, Fbs subpopulation 1, Fbs subpopulation 2, Fbs subpopulation 3, Fbs subpopulation 4, Fbs subpopulation 5, KCs, macrophages, SMCs, and T cells were respectively metastasis-associated lung adenocarcinoma transcript 1, fatty acid binding protein 4, Gremlin 1, complement component 4B, H19 imprinted maternally expressed transcript, Dickkopf Wnt signaling pathway inhibitor 2, fibromodulin, keratin 5, CD74 molecule, regulator of G protein signaling 5, and inducible T-cell co-stimulator molecule. KEGG and GO enrichment analysis revealed that, compared with those in control group, DEGs with significant differential expression (SDE) in CD34+ Fbs from the wound tissue of mice in diabetic group on PID 4 were significantly enriched in terms related to inflammatory response, extracellular matrix (ECM) organization, regulation of cell proliferation, and aging (with Pvalues all <0.05), DEGs with SDE in CD34+ SMCs were significantly enriched in terms related to cell migration, apoptotic process, positive regulation of transcription, and phagosome (with P values all <0.05), DEGs with SDE in CD34+ KCs were significantly enriched in terms related to mitochondrial function, transcription, and neurodegenerative diseases (with P values all <0.05), and DEGs with SDE in CD34+ CLCs were significantly enriched in terms related to rhythm regulation, ECM, and viral infection (with P values all <0.05). Conclusions: CD34+ cells display high heterogeneity in the healing process of full-thickness skin defect wounds in both normal mice and diabetic mice. The significantly enriched functions of DEGs with SDE in CD34+ cell subpopulations in the wound tissue of the two mouse groups are closely related to the wound healing process.

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