Ziyu Wang, Hongyang Wang, Qinghai Wang, Tao Huang, Chen Guo, Jianlei Ji, Meijie Su, Weijia Xu, Yanwei Cao, Zhen Dong
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Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses as well as protein-protein interaction (PPI) network analysis were performed to explore the potential mechanism.</p><p><strong>Results: </strong>Inhibition of anaerobic glycolysis reduced Jurkat T-cell proliferation. RNA sequencing identified 1723 transcripts that were differentially expressed, including 1460 upregulated genes and 263 downregulated genes. GO functional enrichment analysis showed that the differentially expressed genes were mainly involved in the biological processes of response to unfolded protein, response to topologically incorrect protein, and protein folding. KEGG pathway analysis of differentially expressed genes or hub genes from the PPI network analysis revealed enrichment in the estrogen signaling and PI3K-Akt pathways.</p><p><strong>Conclusions: </strong>Anaerobic glycolysis contributes to the regulation of Jurkat T-cell proliferation. The underlying mechanism may involve the estrogen signaling pathway or PI3K-Akt signaling pathway as well as protein metabolism.</p>","PeriodicalId":9694,"journal":{"name":"Central European Journal of Immunology","volume":"49 2","pages":"194-202"},"PeriodicalIF":1.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457565/pdf/","citationCount":"0","resultStr":"{\"title\":\"Transcriptome analysis of anaerobic glycolysis effects on Jurkat T cell proliferation.\",\"authors\":\"Ziyu Wang, Hongyang Wang, Qinghai Wang, Tao Huang, Chen Guo, Jianlei Ji, Meijie Su, Weijia Xu, Yanwei Cao, Zhen Dong\",\"doi\":\"10.5114/ceji.2024.142116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>To explore the effects of anaerobic glycolysis on Jurkat T cell proliferation and clarify the possible mechanism via transcriptomic analysis.</p><p><strong>Material and methods: </strong>The monocarboxylate transporter 1 inhibitor AZD3965 was used to target and block the transmembrane transport of lactate, thereby inhibiting anaerobic glycolysis in Jurkat T cells. Then, genes with differential expression between treated and untreated cells were detected by transcriptomic analysis, and constructs were generated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses as well as protein-protein interaction (PPI) network analysis were performed to explore the potential mechanism.</p><p><strong>Results: </strong>Inhibition of anaerobic glycolysis reduced Jurkat T-cell proliferation. RNA sequencing identified 1723 transcripts that were differentially expressed, including 1460 upregulated genes and 263 downregulated genes. GO functional enrichment analysis showed that the differentially expressed genes were mainly involved in the biological processes of response to unfolded protein, response to topologically incorrect protein, and protein folding. KEGG pathway analysis of differentially expressed genes or hub genes from the PPI network analysis revealed enrichment in the estrogen signaling and PI3K-Akt pathways.</p><p><strong>Conclusions: </strong>Anaerobic glycolysis contributes to the regulation of Jurkat T-cell proliferation. 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引用次数: 0
摘要
引言探讨无氧糖酵解对 Jurkat T 细胞增殖的影响,并通过转录组分析阐明其可能的机制:利用单羧酸盐转运体1抑制剂AZD3965靶向阻断乳酸的跨膜转运,从而抑制Jurkat T细胞的无氧糖酵解。然后,通过转录组分析检测处理过和未处理过的细胞中表达不同的基因,并生成构建体。为了探索潜在的机制,还进行了基因本体(GO)和京都基因组百科全书(KEGG)通路分析以及蛋白质相互作用(PPI)网络分析:结果:抑制无氧糖酵解可减少Jurkat T细胞的增殖。RNA测序发现了1723个差异表达的转录本,包括1460个上调基因和263个下调基因。GO功能富集分析表明,差异表达的基因主要涉及对未折叠蛋白的反应、对拓扑结构不正确蛋白的反应和蛋白质折叠等生物学过程。对差异表达基因或PPI网络分析中的枢纽基因进行的KEGG通路分析显示,雌激素信号通路和PI3K-Akt通路中的差异表达基因较多:结论:无氧糖酵解有助于调节Jurkat T细胞的增殖。结论:无氧糖酵解有助于调节 Jurkat T 细胞的增殖,其潜在机制可能涉及雌激素信号通路或 PI3K-Akt 信号通路以及蛋白质代谢。
Transcriptome analysis of anaerobic glycolysis effects on Jurkat T cell proliferation.
Introduction: To explore the effects of anaerobic glycolysis on Jurkat T cell proliferation and clarify the possible mechanism via transcriptomic analysis.
Material and methods: The monocarboxylate transporter 1 inhibitor AZD3965 was used to target and block the transmembrane transport of lactate, thereby inhibiting anaerobic glycolysis in Jurkat T cells. Then, genes with differential expression between treated and untreated cells were detected by transcriptomic analysis, and constructs were generated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses as well as protein-protein interaction (PPI) network analysis were performed to explore the potential mechanism.
Results: Inhibition of anaerobic glycolysis reduced Jurkat T-cell proliferation. RNA sequencing identified 1723 transcripts that were differentially expressed, including 1460 upregulated genes and 263 downregulated genes. GO functional enrichment analysis showed that the differentially expressed genes were mainly involved in the biological processes of response to unfolded protein, response to topologically incorrect protein, and protein folding. KEGG pathway analysis of differentially expressed genes or hub genes from the PPI network analysis revealed enrichment in the estrogen signaling and PI3K-Akt pathways.
Conclusions: Anaerobic glycolysis contributes to the regulation of Jurkat T-cell proliferation. The underlying mechanism may involve the estrogen signaling pathway or PI3K-Akt signaling pathway as well as protein metabolism.