整合差异表达,共同表达和基因网络分析,以识别与瘤血管生成放松调节相关的常见基因
Beatriz Monterde1, Elena Rojano2, José Córdoba-Caballero3
1Departamento de Señalización Celular y Molecular, Instituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria-CSIC., C/Albert Einstein, 22, Santander, 39011, Spain.
Journal of biomedical informatics
|June 14, 2023
概括
这项研究确定了在血管生成依赖性疾病中放松调节的SEMA3D和IL33等关键基因. 这些发现为改善癌症治疗和理解瘤生长提供了潜在的治疗点.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 癌症研究 癌症研究
背景情况:
- 血管新生对于瘤生长和转移至关重要,需要识别治疗策略的分子途径.
- RNA测序 (RNA-seq) 数据分析对于发现各种癌症的遗传和分子因素至关重要.
研究的目的:
- 从人类静脉内皮细胞 (HUVEC) 和患有血管生成依赖疾病的患者中进行RNA-seq数据的综合分析.
- 确定基因和分子通路对于瘤血管生成放松调节至关重要,并发现改善癌症治疗预后的潜在治疗点.
主要方法:
- 从序列读取档案下载和分析了四个RNA-seq数据集,包括瘤血管生成和缺血性心脏病模型.
- 使用ExpHunter套件 (R套件) 来对RNA-seq数据进行差异表达,协同表达和功能分析.
- 探索人类基因相互作用网络并进行药物重新定位分析以确定潜在的血管生成抑制标.
主要成果:
- 在所有分析的数据集中确定SEMA3D和IL33为一致放松调节的基因.
- 确定微环境重塑,细胞循环,脂质代谢和囊泡运输是主要受影响的分子通路.
- 突出交互的基因参与了细胞内信号传递,免疫系统,半波林,呼吸电子运输和脂肪酸代谢.
结论:
- 这项研究成功地确定了血管生成依赖性疾病中常见的转录性改变和关键分子途径.
- SEMA3D和IL33代表了重要的放松调节的基因,具有作为生物标志物或治疗点的潜力.
- 本文所介绍的综合方法适用于识别其他遗传疾病中的转录性变异.
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