Zhang Sheng, Wang Jianhong, Zhang Huan, Li Benhua, Gao Shun
Department of Radiology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, 637000, China.
Department of Internal Medicine, Guang'an Vocational & Technical College, Guang'an, 638000, China.
Discov Oncol. 2024 Oct 13;15(1):550. doi: 10.1007/s12672-024-01429-8.
The aim of this study was to elucidate the critical role of autophagy-related gene aggregation in gastric cancer tumor microenvironment cells and to investigate their major roles in cellular functions. In particular, the expression of these genes in tumor-associated fibroblast subtypes was scrutinized in an attempt to explain their cell-subpopulation-specific roles in cell-cell communication and regulation of cellular functions.
In this study, single-cell RNA sequencing data were first analyzed in multiple steps, including data preprocessing, cell clustering, and cell classification. Cell subpopulations and gene expression patterns were identified and analyzed using unsupervised non-negative matrix factorization (NMF) techniques. The dynamic expression of autophagy-related gene aggregates in various cell types was deciphered by pseudotime trajectory analysis (PTA). Intercellular communication analysis was performed using the CellChat R software package, revealing the intricate communication patterns and exchange of key signaling molecules between cell subpopulations, and SCENIC analysis was used to identify gene regulatory networks and reveal the mechanisms behind cellular heterogeneity.
Cell subpopulations associated with pan-apoptosis were identified by NMF decomposition and SCENIC analysis. Cell-cell communication analysis revealed intricate communication patterns and exchange of key signaling molecules between cell subpopulations. Dynamic expression of autophagy-related genes aggregated in the pseudotemporal trajectory of STAD was observed by PTA. In the fibroblast subtype, different ligand-receptor interactions and their key roles in immunomodulation were observed.
By deeply analyzing and comparing gene expression patterns within cellular subpopulations and intercellular communication, this study provides new insights into the role of pan-apoptosis-related genes in regulating immune responses and cellular functions in gastric cancer. These findings pave the way for further exploration of the role of these genes in tumorigenesis and immune regulation, as well as laying the foundation for potential therapeutic strategies.
本研究旨在阐明自噬相关基因聚集在胃癌肿瘤微环境细胞中的关键作用,并探究其在细胞功能中的主要作用。特别地,对这些基因在肿瘤相关成纤维细胞亚型中的表达进行了仔细研究,以试图解释它们在细胞间通讯和细胞功能调节中细胞亚群特异性的作用。
在本研究中,首先对单细胞RNA测序数据进行了多步骤分析,包括数据预处理、细胞聚类和细胞分类。使用无监督非负矩阵分解(NMF)技术识别和分析细胞亚群及基因表达模式。通过伪时间轨迹分析(PTA)解读各种细胞类型中自噬相关基因聚集的动态表达。使用CellChat R软件包进行细胞间通讯分析,揭示细胞亚群之间复杂的通讯模式和关键信号分子的交换,并使用SCENIC分析来识别基因调控网络并揭示细胞异质性背后的机制。
通过NMF分解和SCENIC分析鉴定出与泛凋亡相关的细胞亚群。细胞间通讯分析揭示了细胞亚群之间复杂的通讯模式和关键信号分子的交换。通过PTA观察到自噬相关基因在STAD的伪时间轨迹中聚集的动态表达。在成纤维细胞亚型中,观察到不同的配体 - 受体相互作用及其在免疫调节中的关键作用。
通过深入分析和比较细胞亚群内的基因表达模式以及细胞间通讯,本研究为泛凋亡相关基因在调节胃癌免疫反应和细胞功能中的作用提供了新的见解。这些发现为进一步探索这些基因在肿瘤发生和免疫调节中的作用铺平了道路,也为潜在的治疗策略奠定了基础。