基于单细胞RNA测序分析的骨关节炎免疫治疗免疫相关生物标志物鉴定。

IF 1.4 4区 生物学 Q4 GENETICS & HEREDITY Genetics research Pub Date : 2023-01-01 DOI:10.1155/2023/5574636
Zhe Tan, Rong Chen, Hanyu Lin, Hong Wang
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引用次数: 1

摘要

骨关节炎(OA)是一种慢性肌肉骨骼疾病,影响全球约5亿人。在全球范围内,OA是导致残疾的最常见和主要原因之一。骨性关节炎涉及几个遗传因素,包括遗传基因、遗传易感性和遗传易感性。由于OA的发病机制尚不清楚,几乎没有有效的治疗方法来预防疾病的发生或进展。近年来,许多研究人员致力于生物信息学分析,以探索新的生物标志物,用于人类疾病的诊断、治疗和预后。在这项工作中,我们从GEO数据库中获得OA患者的传统RNA测序数据。通过差异表达分析,我们成功获得了与OA密切相关的基因。此外,采用维恩图对OA相关基因和免疫相关基因进行评价。进一步进行蛋白-蛋白互作分析,探索枢纽基因。采用单细胞RNA测序分析评估骨关节炎患者滑膜组织中MMP、VEGFA、SPI1、IRF8的表达分布。最后,GSVA富集分析发现了OA患者参与的潜在途径。我们的分析为探索OA患者的过程提供了一个新的方向。此外,VEGFA可能被认为是OA中有前景的生物标志物。
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The Identification of Immune-Related Biomarkers for Osteoarthritis Immunotherapy Based on Single-Cell RNA Sequencing Analysis.

Osteoarthritis (OA) is a chronic musculoskeletal disease affecting approximately 500 million people worldwide. Globally, OA is one of the most common and leading causes of disability. Several genetic factors are involved in OA, including inherited genes, genetic susceptibility, and genetic predisposition. As the pathogenesis of OA is unknown, there are almost no effective treatments available to prevent the onset or progression of the disease. In recent years, many researchers focused on bioinformatics analysis to explore new biomarkers for the diagnosis, treatment, and prognosis of human diseases. In this work, we obtain the traditional RNA sequencing data of OA patients from the GEO database. By performing the differentially expressed analysis, we successfully obtain the genes that are closely associated with the OA. In addition, the Venn diagram was applied to evaluate the genes that are involved in OA and immune-related genes. The protein-protein interaction analysis was further conducted to explore the hub genes. The single-cell RNA sequencing analysis was used to evaluate the expression distribution of the MMP, VEGFA, SPI1, and IRF8 in synovial tissues of patients with osteoarthritis. Finally, the GSVA enrichment analysis discovered the potential pathways involved in OA patients. Our analysis provides a new direction for the exploration of the process of OA patients. In addition, VEGFA may be considered a promising biomarker in OA.

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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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