• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

从单层网络到三层网络确定关键 ccRCC 相关分子。

Determination of the key ccRCC-related molecules from monolayer network to three-layer network.

机构信息

School of Science, Jiangnan University, Wuxi, Jiangsu 214122, PR China; Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, Jiangsu 214122, PR China.

School of Science, Jiangnan University, Wuxi, Jiangsu 214122, PR China; Key Laboratory of Industrial Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, PR China.

出版信息

Cancer Genet. 2021 Aug;256-257:40-47. doi: 10.1016/j.cancergen.2021.03.005. Epub 2021 Apr 20.

DOI:10.1016/j.cancergen.2021.03.005
PMID:33887693
Abstract

Clear cell renal cell carcinoma (ccRCC), with an increasing incidence rate, is one of the ubiquitous cancers. Its pathogenic factors are complicated and the molecular mechanism is not clear. It is essential to analyze the potential key genes related to ccRCC carcinogenesis. In this study, the differentially expressed mRNAs, miRNAs and lncRNAs (DEmRNAs, DEmiRNAs and DElncRNAs) of ccRCC were screened from TCGA database. Then the miRNA-mRNA network, lncRNA-miRNA network and lncRNA-mRNA network were constructed by online database or WGCNA algorithm. Topology attributes of these monolayer networks showed that hsa-mir-155, hsa-mir-200c, hsa-mir-122, hsa-mir-506, hsa-mir-216b, hsa-mir-141, lncRNA AC137723.1 and AC021074.3 are the crucial genes related with the regulatory effects on the proliferation, metastasis and invasion of ccRCC cells. Subsequently, these three monolayer networks were integrated into a lncRNA-miRNA-mRNA multilayer network. Considering node degree, closeness centrality and betweenness centrality, we found hsa-mir-122 is screened out as the only crucial gene in three-layer network. In order to better illustrate the effect of hsa-mir-122 on ccRCC, the lncRNA-hsa-mir-122-mRNA network was constructed with hsa-mir-122 as the center. Pathway analysis of the unique target gene GALNT3 linked to hsa-mir-122 showed that GALNT3 influenced the metabolic process of mucin type O-Glycan biosynthesis. LncRNA AC090377.1 is the unique gene that has target genes among lncRNAs with clinical significance that linked to hsa-mir-122 in the lncRNA-hsa-mir-122-mRNA network. Pathway analysis of AC090377.1 suggested that GUCY2F enriched in phototransduction pathway associated with retina. From monolayer network to three-layer network, hsa-mir-122 is identified as an important molecule in the oncogenesis and progression of ccRCC, offering new strategies to further study of the carcinogenic mechanism of ccRCC.

摘要

透明细胞肾细胞癌 (ccRCC) 的发病率不断上升,是一种普遍存在的癌症。其发病因素复杂,分子机制尚不清楚。分析与 ccRCC 发生相关的潜在关键基因至关重要。本研究从 TCGA 数据库中筛选出 ccRCC 的差异表达 mRNA、miRNA 和 lncRNA(DEmRNAs、DEmiRNAs 和 DElncRNAs)。然后通过在线数据库或 WGCNA 算法构建 miRNA-mRNA 网络、lncRNA-miRNA 网络和 lncRNA-mRNA 网络。这些单层网络的拓扑属性表明,hsa-mir-155、hsa-mir-200c、hsa-mir-122、hsa-mir-506、hsa-mir-216b、hsa-mir-141、lncRNA AC137723.1 和 AC021074.3 是与 ccRCC 细胞增殖、转移和侵袭的调控作用相关的关键基因。随后,将这三个单层网络整合到一个 lncRNA-miRNA-mRNA 多层网络中。考虑节点度、接近中心度和介数中心度,发现 hsa-mir-122 是从三层网络中筛选出的唯一关键基因。为了更好地说明 hsa-mir-122 对 ccRCC 的影响,以 hsa-mir-122 为中心构建了 lncRNA-hsa-mir-122-mRNA 网络。与 hsa-mir-122 相关的唯一靶基因 GALNT3 的通路分析表明,GALNT3 影响粘蛋白型 O-聚糖生物合成的代谢过程。在 lncRNA-hsa-mir-122-mRNA 网络中,与 hsa-mir-122 相关的具有临床意义的 lncRNA 中唯一的靶基因是 lncRNA AC090377.1。AC090377.1 的通路分析表明,GUCY2F 富集在与视网膜相关的光转导途径中。从单层网络到三层网络,hsa-mir-122 被确定为 ccRCC 发生和进展中的重要分子,为进一步研究 ccRCC 的致癌机制提供了新的策略。

相似文献

1
Determination of the key ccRCC-related molecules from monolayer network to three-layer network.从单层网络到三层网络确定关键 ccRCC 相关分子。
Cancer Genet. 2021 Aug;256-257:40-47. doi: 10.1016/j.cancergen.2021.03.005. Epub 2021 Apr 20.
2
Construct a circRNA/miRNA/mRNA regulatory network to explore potential pathogenesis and therapy options of clear cell renal cell carcinoma.构建 circRNA/miRNA/mRNA 调控网络,探索透明细胞肾细胞癌的潜在发病机制和治疗选择。
Sci Rep. 2020 Aug 12;10(1):13659. doi: 10.1038/s41598-020-70484-2.
3
A Computationally Constructed lncRNA-Associated Competing Triplet Network in Clear Cell Renal Cell Carcinoma.在肾透明细胞癌中构建基于计算的 lncRNA 相关竞争性三重态网络。
Dis Markers. 2022 Nov 17;2022:8928282. doi: 10.1155/2022/8928282. eCollection 2022.
4
Comprehensive analysis of lncRNA-mediated ceRNA network in renal cell carcinoma based on GEO database.基于 GEO 数据库的肾细胞癌中 lncRNA 介导的 ceRNA 网络的综合分析。
Medicine (Baltimore). 2024 Aug 30;103(35):e39424. doi: 10.1097/MD.0000000000039424.
5
Identification of Six Potentially Long Noncoding RNAs as Biomarkers Involved Competitive Endogenous RNA in Clear Cell Renal Cell Carcinoma.鉴定 6 个潜在的长非编码 RNA 作为参与透明细胞肾细胞癌竞争性内源性 RNA 的生物标志物。
Biomed Res Int. 2018 Oct 11;2018:9303486. doi: 10.1155/2018/9303486. eCollection 2018.
6
Integrated Analysis of Competing Endogenous RNAs Network Reveals Potential Signatures in Osteosarcoma Development.整合分析竞争内源性 RNA 网络揭示骨肉瘤发展中的潜在特征。
Technol Cancer Res Treat. 2020 Jan-Dec;19:1533033820957025. doi: 10.1177/1533033820957025.
7
Construction of Endometrial Carcinoma ceRNA Network and Screening of Key Genes Based on TCGA Database.基于 TCGA 数据库构建子宫内膜癌 ceRNA 网络及关键基因的筛选。
Comput Math Methods Med. 2022 Jul 4;2022:1418232. doi: 10.1155/2022/1418232. eCollection 2022.
8
Complex integrated analysis of lncRNAs-miRNAs-mRNAs in oral squamous cell carcinoma.口腔鳞状细胞癌中 lncRNAs-miRNAs-mRNAs 的复杂综合分析。
Oral Oncol. 2017 Oct;73:1-9. doi: 10.1016/j.oraloncology.2017.07.026. Epub 2017 Jul 31.
9
Comprehensive analysis of differentially expressed profiles of lncRNAs, mRNAs, and miRNAs in laryngeal squamous cell carcinoma in order to construct a ceRNA network and identify potential biomarkers.对喉鳞状细胞癌中lncRNAs、mRNAs和miRNAs的差异表达谱进行综合分析,以构建ceRNA网络并鉴定潜在生物标志物。
J Cell Biochem. 2019 Oct;120(10):17963-17974. doi: 10.1002/jcb.29063. Epub 2019 May 24.
10
Heterogeneous miRNA-mRNA Regulatory Networks of Visceral and Subcutaneous Adipose Tissue in the Relationship Between Obesity and Renal Clear Cell Carcinoma.肥胖与肾透明细胞癌关系中外周和内脏脂肪组织中 miRNA-mRNA 调控网络的异质性。
Front Endocrinol (Lausanne). 2021 Sep 21;12:713357. doi: 10.3389/fendo.2021.713357. eCollection 2021.

引用本文的文献

1
Immune Infiltrates of m5C RNA Methylation-Related LncRNAs in Uterine Corpus Endometrial Carcinoma.子宫体子宫内膜癌中m5C RNA甲基化相关长链非编码RNA的免疫浸润
J Oncol. 2022 Mar 29;2022:1531474. doi: 10.1155/2022/1531474. eCollection 2022.