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引用次数: 0
摘要
自噬(Aggrephagy)是自噬的一种,它能降解细胞中错误折叠蛋白的聚集。然而,aggrephagy 在多发性骨髓瘤(MM)中的作用尚未得到充分证实。在这项研究中,我们首先研究了aggrephagy信号传导、MM免疫微环境组成和疾病预后之间的相关性。通过非负矩阵因式分解法分析了单细胞RNA-seq数据,包括来自7个MM骨髓(BM)样本和7个健康BM样本的12187个单细胞的表达谱,其中有44个与aggrephagy相关的基因。基因表达总库(Gene Expression Omnibus)数据库中的大量RNA-seq队列被用来评估侵袭相关免疫细胞亚型的预后价值,并预测MM的免疫检查点阻断免疫治疗反应。与健康血清相比,MM 血清中与吞噬细胞相关的基因表达表现出不同的模式。在 MM BM 中,巨噬细胞、CD8+ T 细胞、B 细胞和自然杀伤细胞可分为四至九个侵袭相关亚群。侵噬信号分子在免疫细胞中的表达特征与患者的预后相关。我们的研究为侵噬信号在 MM 肿瘤微环境细胞中的表达提供了一个新的视角,这可能是一个预后指标和 MM 治疗的潜在靶点。
Single-cell sequencing reveals the correlation of aggrephagy signaling and multiple myeloma immune microenvironment composition
Aggrephagy, a type of autophagy, degrades the aggregation of misfolded protein in cells. However, the role of aggrephagy in multiple myeloma (MM) has not been fully demonstrated. In this study, we first investigated the correlation between aggrephagy signaling, MM immune microenvironment composition and disease prognosis. Single-cell RNA-seq data, including the expression profiles of 12,187 single cells from seven MM bone marrow (BM) and seven healthy BM samples, were analyzed by non-negative matrix factorization for 44 aggrephagy-related genes. Bulk RNA-seq cohorts from the Gene Expression Omnibus database were used to evaluate the prognostic value of aggrephagy-related immune cell subtypes and predict immune checkpoint blockade immunotherapeutic response in MM. Compared with healthy BM, MM BM exhibited different patterns of aggrephagy-related gene expression. In MM BM, macrophages, CD8+ T cells, B cells and natural killer cells could be grouped into four to nine aggrephagy-related subclusters. The signature of aggrephagy signaling molecule expression in the immune cells correlates with the patient's prognosis. Our investigation provides a novel view of aggrephagy signaling in MM tumor microenvironment cells, which might be a prognostic indicator and potential target for MM treatment.
期刊介绍:
The aims and scope of The Journal of Gene Medicine include cutting-edge science of gene transfer and its applications in gene and cell therapy, genome editing with precision nucleases, epigenetic modifications of host genome by small molecules, siRNA, microRNA and other noncoding RNAs as therapeutic gene-modulating agents or targets, biomarkers for precision medicine, and gene-based prognostic/diagnostic studies.
Key areas of interest are the design of novel synthetic and viral vectors, novel therapeutic nucleic acids such as mRNA, modified microRNAs and siRNAs, antagomirs, aptamers, antisense and exon-skipping agents, refined genome editing tools using nucleic acid /protein combinations, physically or biologically targeted delivery and gene modulation, ex vivo or in vivo pharmacological studies including animal models, and human clinical trials.
Papers presenting research into the mechanisms underlying transfer and action of gene medicines, the application of the new technologies for stem cell modification or nucleic acid based vaccines, the identification of new genetic or epigenetic variations as biomarkers to direct precision medicine, and the preclinical/clinical development of gene/expression signatures indicative of diagnosis or predictive of prognosis are also encouraged.