Transcription factor HIF1A: downstream targets, associated pathways, polymorphic hypoxia response element (HRE) sites, and initiative for standardization of reporting in scientific literature
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- 作者：Lucija Slemc ; Tanja Kunej
- 关键词：Hypoxia inducible factor (HIF) ; Transcription factor ; Transcription regulation ; Target gene ; Hypoxia response element (HRE) ; Standardization recommendations
- 刊名：Tumor Biology
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：37
- 期：11
- 页码：14851-14861
- 全文大小：
- 刊物主题：Cancer Research;
- 出版者：Springer Netherlands
- ISSN：1423-0380
- 卷排序：37
文摘
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.