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Osteoarthritis (OA) is a prevalent degenerative joint disease that is closely associated with functions of ubiquitination and immune cells, yet the mechanism remains ambiguous. This study aimed to find core ubiquitination-related genes and their correlative immune infiltration in OA using weighted gene co-expression network analysis (WGCNA). The ubiquitination-related genes, datasets GSE55235 and GSE143514 were obtained from open databases. WGCNA got used to investigate key co-expressed genes. Then, we screened differentially expressed miRNAs by "limma" package in R, and constructed mRNA-miRNA network. We conducted function enrichment analysis on the identified genes. CIBERSORT was then utilized to analyze the relevance between immune infiltration and genes. Lastly, RT-qPCR was further used to verify the prediction of bioinformatics. A sum of 144 ubiquitination-related genes in OA were acquired. Enrichment analysis indicated that obtained genes obviously involved in mTOR pathway to regulate the OA development. GRB2 and SEH1L and L-arginine synergistically regulate the mTOR signaling pathway in OA. Moreover, GRB2 and SEH1L were remarkably bound up with immune cell infiltration. Additionally, GRB2 expression was upregulated and SEH1L level was downregulated in the OA development by RT-qPCR experiment. The present study identified GRB2 and SEH1L as key ubiquitination-related genes which were involved in immune infiltration in OA patients, thereby providing new drug targets for OA.
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http://dx.doi.org/10.1615/CritRevImmunol.2024051440 | DOI Listing |
Front Immunol
September 2025
Department of Clinical Laboratory Medicine, Esophageal Cancer Prevention and Control Research Center, Chaoshan Branch of State Key Laboratory for Esophageal Cancer Prevention and Treatment, Cancer Hospital of Shantou University Medical College, Shantou, China.
Background: As a highly invasive gastrointestinal malignancy, esophageal squamous cell carcinoma (ESCC) carries with its high morbidity and mortality. Accumulating evidence indicates that abnormal activation of ubiquitination and deubiquitylation has been implicated in pathophysiology of ESCC. However, rare prognostic models for ubiquitination-related genes (URGs) and deubiquitylation-related genes (DRGs) have been built up in ESCC.
View Article and Find Full Text PDFJ Immunother Cancer
August 2025
Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing, China
Background: Ubiquitination-a pivotal post-translational modification that orchestrates cellular homeostasis and oncogenic pathways-remains underexplored as a pancancer regulatory hub. Although ubiquitination dysregulation is linked to tumor progression, a comprehensive, multicancer framework integrating prognostic, molecular, and microenvironmental landscapes is lacking.
Methods: This study integrated data of 4,709 patients from 26 cohorts across five solid tumor types (lung cancer, esophageal cancer, cervical cancer, urothelial cancer, and melanoma) and mapped the molecular profiles to the interaction network.
Front Genet
July 2025
Department of Radiation Oncology, the Fourth Hospital of Hebei Medical University, Hebei Clinical Research Center for Radiation Oncology, Shijiazhuang, China.
Introduction: Abnormalities in ubiquitination-related pathways or systems are closely associated with various cancers, including cervical cancer (CC). However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. This study aimed to explore key UbLGs associated with CC, construct a prognostic model, and investigate their potential clinical and immunological significance.
View Article and Find Full Text PDFFront Oncol
July 2025
Department of Neurosurgery, The Second Affiliated Hospital of Jiaxing University, Zhejiang, China.
Background: The purpose of this study is to utilize single-cell sequencing data to explore glioma heterogeneity and identify key biomarkers associated with glioblastoma multiforme (GBM) relapse using machine learning.
Methods: Single-cell sequencing and transcriptome data for gliomas were obtained from the GEO (GSE159416, GSE159605, and GSE186057) and TCGA databases. A prognostic model based on differentiation-related genes (DRGs) was constructed using weighted correlation network analysis, univariate Cox regression, and LASSO analysis.
Cell Cycle
September 2025
School of Basic Medical Sciences, Anhui Medical University, Hefei, China.
Small cell lung cancer (SCLC) accounts for approximately 15% of primary lung carcinomas and has the poorest outcome in all subtypes of lung cancer. The major hurdle for SCLC treatment failure is resistance to platinum-based chemotherapy. Therefore, an unmet need is to discover new targets that promote SCLC progression and chemoresistance.
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