探索胶质母细胞瘤的差异表达基因并了解其潜在机制。

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Didem Seven, Arif Ekici, Steffen Uebe, Bilge Bilgiç, Altay Sencer, Aydın Aydoseli, Andre Reis, Nur Buyru
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引用次数: 0

摘要

胶质母细胞瘤是中枢神经系统最具侵袭性的恶性肿瘤。目前的治疗方案,包括手术切除、放疗和化疗,疗效有限,中位生存率约为15个月。为了开发新的治疗方法,了解驱动胶质母细胞瘤的潜在分子机制至关重要。然而,由于组织的关键性质和肿瘤的位置,获得健康组织的对照物进行比较往往具有挑战性。本研究旨在比较胶质母细胞瘤组织与邻近健康组织的转录组学特征,以阐明胶质母细胞瘤发病的关键途径并确定上游调控因子。手术中获得了26对胶质母细胞瘤组织及其邻近的健康组织。组织病理学检查证实肿瘤及健康来源。使用Ion GeneStudio S5系统对12对进行转录组分析。匠心途径分析进行确定相关的途径和上游调节。选取51个上游调控因子进行qRT-PCR分析。由于正常组织和肿瘤组织的相似性,三对被排除在rna测序(RNA-seq)分析之外。失调通路主要与神经元连接和神经递质通路有关。上游调控因子的表达模式与RNA-seq结果一致。与肿瘤发生有关的分子变化可以在早期阶段开始,可能早于临床症状的出现。失调的通路与特定的脑组织类型特别相关。两种方法中上游调控因子的表达是一致的;然而,它们的功能角色需要进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Differentially Expressed Genes and Understanding the Underlying Mechanisms in Glioblastoma.

Glioblastoma is the most aggressive and malignant tumor of the central nervous system. Current treatment options, including surgical excision, radiotherapy, and chemotherapy, have Limited efficacy, with a median survival rate of approximately 15 months. To develop novel therapeutics, it is crucial to understand the underlying molecular mechanisms driving glioblastoma. However, obtaining healthy tissue counterparts for comparison is often challenging due to the critical nature of the tissues and the tumor's location. This study aimed to compare the transcriptomic profiles of glioblastoma tissues with those of adjacent healthy tissues, to elucidate key pathways and identify upstream regulators involved in glioblastoma pathogenesis. Twenty-six pairs of glioblastoma tissues and their adjacent healthy tissues were obtained during surgery. The tumor and healthy origins were confirmed through histopathological examination. Twelve pairs were analyzed via transcriptome analysis by using the Ion GeneStudio S5 system. Ingenuity pathway analysis was performed to identify the associated pathways and upstream regulators. Selected 51 upstream regulators were analyzed using qRT-PCR. Three pairs were excluded from the RNA-sequencing (RNA-seq) analysis due to similarities between normal and tumor tissues. The dysregulated pathways were primarily associated with neuronal connections and neurotransmitter pathways. The expression patterns of upstream regulators were consistent with RNA-seq results. Molecular changes linked to the initiation of tumors can begin at an early stage, potentially preceding the appearance of clinical symptoms. The dysregulated pathways were particularly associated with specific brain tissue types. The expression of upstream regulators was consistent across both methods; however, their functional roles need further investigation.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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