An immune-related multi-omics analysis of dolichyl-diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2023-08-22 DOI:10.1049/syb2.12075
Jie Liu, Chao Feng, Min Liu, Yan Zhou, Yuezhen Shen, Jianxin Li, Xiangyang Wei
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Abstract

Dolichyl-diphosphooligosaccharide protein glycosyltransferase (DDOST) plays a pivotal role in the glycosylation of asparagine residues on nascent polypeptides. However, the biological role of DDOST in glioma remains unclear. The mRNA expression of DDOST in glioma was identified using TCGA, CGGA, GEO and Rembrandt datasets. Immunohistochemistry assay was conducted to examine the protein level of DDOST. Cox regression analysis, nomograms and calibration plots were used to evaluate the prognostic value of DDOST. The association between DDOST and immune cell infiltration was evaluated using CIBERSORT algorithm. Additionally, DNA methylation and ceRNA regulatory network of DDOST expression were investigated using the LinkedOmics and ENCORI databases. The authors found that DDOST was substantially expressed at the mRNA and protein levels. Functional enrichment analysis revealed close associations between DDOST and immune-related pathways, as well as immune cell infiltration. In addition, DDOST exhibited synergistic effects with tumour mutational burden (TMB) and other immune checkpoints. For expression regulation mechanisms, DDOST had low DNA methylation levels in high-grade gliomas and may be involved in multiple ceRNA networks in glioma. Thus, DDOST may serve as an unfavourable biomarker for gliomas. DNA methylation and ceRNA regulatory networks of DDOST expression were identified for the first time in this multi-omics study.

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胶质瘤中dolichyl二磷酸低聚糖蛋白糖基转移酶的免疫相关多组学分析:预后价值探索和竞争性内源性RNA网络鉴定。
Dolichyl二磷酸低聚糖蛋白糖基转移酶(DDOST)在新生多肽上天冬酰胺残基的糖基化中起着关键作用。然而,DDOST在神经胶质瘤中的生物学作用尚不清楚。使用TCGA、CGGA、GEO和Rembrandt数据集鉴定神经胶质瘤中DDOST的mRNA表达。免疫组化法检测DDOST蛋白水平。Cox回归分析、列线图和校准图用于评估DDOST的预后价值。使用CIBERSORT算法评估DDOST与免疫细胞浸润之间的相关性。此外,使用LinkedOmics和ENCORI数据库研究了DDOST表达的DNA甲基化和ceRNA调控网络。作者发现DDOST在mRNA和蛋白质水平上都有显著表达。功能富集分析揭示了DDOST与免疫相关途径以及免疫细胞浸润之间的密切联系。此外,DDOST与肿瘤突变负荷(TMB)和其他免疫检查点表现出协同作用。就表达调控机制而言,DDOST在高级别胶质瘤中具有较低的DNA甲基化水平,并且可能参与胶质瘤中的多个ceRNA网络。因此,DDOST可能是胶质瘤的不利生物标志物。在这项多组学研究中,首次鉴定了DDOST表达的DNA甲基化和ceRNA调控网络。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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