Slemc Lucija, Kunej Tanja
Biotechnical Faculty, Department of Animal Science, University of Ljubljana, Groblje 3, Ljubljana, Slovenia.
Tumour Biol. 2016 Nov;37(11):14851-14861. doi: 10.1007/s13277-016-5331-4. Epub 2016 Sep 19.
Hypoxia-inducible factor-1α (HIF-1α) has crucial role in adapting cells to hypoxia through expression regulation of many genes. Identification of HIF-1α target genes (HIF-1α-TGs) is important for understanding the adapting mechanism. The aim of the present study was to collect known HIF-1α-TGs and identify their associated pathways. Targets and associated genomics data were retrieved using PubMed, WoS ( http://apps.webofknowledge.com/ ), HGNC ( http://www.genenames.org/ ), NCBI ( http://www.ncbi.nlm.nih.gov/ ), Ensemblv.84 ( http://www.ensembl.org/index.html ), DAVID Bioinformatics Resources ( https://david.ncifcrf.gov /), and Disease Ontology database ( http://disease-ontology.org/ ). From 51 papers, we collected 98 HIF-1α TGs found to be associated with 20 pathways, including metabolism of carbohydrates and pathways in cancer. Reanalysis of genomic coordinates of published HREs (hypoxia response elements) revealed six polymorphisms within HRE sites (HRE-SNPs): ABCG2, ACE, CA9, and CP. Due to large heterogeneity of results presentation in scientific literature, we also propose a first step towards reporting standardization of HIF-1α-target interactions consisting of ten relevant data types. Suggested minimal checklist for reporting will enable faster development of a complete catalog of HIF-1α-TGs, data sharing, bioinformatics analyses, and setting novel more targeted hypotheses. The proposed format for data standardization is not yet complete but presents a baseline for further optimization of the protocol with additional details, for example, regarding the experimental validation.
缺氧诱导因子-1α(HIF-1α)通过调控许多基因的表达,在细胞适应缺氧过程中发挥着关键作用。识别HIF-1α靶基因(HIF-1α-TGs)对于理解细胞适应机制至关重要。本研究旨在收集已知的HIF-1α-TGs并确定其相关通路。利用PubMed、WoS(http://apps.webofknowledge.com/)、HGNC(http://www.genenames.org/)、NCBI(http://www.ncbi.nlm.nih.gov/)、Ensemblv.84(http://www.ensembl.org/index.html)、DAVID生物信息学资源(https://david.ncifcrf.gov/)和疾病本体数据库(http://disease-ontology.org/)检索相关靶点和基因组数据。从51篇论文中,我们收集了98个HIF-1α TGs,发现它们与20条通路相关,包括碳水化合物代谢和癌症相关通路。对已发表的缺氧反应元件(HREs)基因组坐标的重新分析揭示了HRE位点(HRE-SNPs)内的六个多态性:ABCG2、ACE、CA9和CP。由于科学文献中结果呈现的巨大异质性,我们还提出了迈向HIF-1α-靶标相互作用报告标准化的第一步,包括十种相关数据类型。建议的报告最低清单将有助于更快地建立完整的HIF-1α-TGs目录、数据共享、生物信息学分析以及设定新的更具针对性的假设。所提议的数据标准化格式尚未完善,但为进一步优化该方案提供了基线,例如关于实验验证的更多细节。