HighAltitudeOmicsDB
收藏资源简介：
Millions of people worldwide visit, live or work in the hypoxic environment encountered at high altitudes and it is important to understand the biomolecular responses to this stress. This would help design mitigation strategies for high altitude illnesses. In spite of a number of studies spanning over 100 years, still the complex mechanisms controlling acclimatization to hypoxia remain largely unknown. To identify potential diagnostic, therapeutic and predictive markers for HA stress, it is important to comprehensively compare and analyse these studies. Towards this goal, HighAltitudeOmicsDB is a unique resource that provides a comprehensive, curated, user-friendly and detailed compilation of various genes/proteins which have been experimentally validated to be associated with various HA conditions, their protein-protein interactions (PPIs) and gene ontology (GO) semantic similarities. For each database entry, HighAltitudeOmicsDB additionally stores the level of regulation (up/down-regulation), fold change, study control group, duration and altitude of exposure, tissue of expression, source organism, level of hypoxia, method of experimental validation, place/country of study, ethnicity, geographical location etc. The database also collates information on disease and drug association, tissue-specific expression level, GO and KEGG pathway associations. The web resource is a unique server platform that offers interactive PPI networks and GO semantic similarity matrices among the interactors.These unique features help to offer mechanistic insights into the disease pathology.
全球范围内，有数以百万计的人群会前往、居住或工作于高海拔地区的低氧环境中，因此解析机体对该低氧应激的生物分子响应机制具有重要意义，这将助力开发针对高原疾病的干预策略。尽管已有跨越百年的大量相关研究，但调控低氧适应的复杂分子机制仍尚未完全明晰。为识别高原（High Altitude, HA）应激潜在的诊断、治疗及预测标志物，全面整合并分析这些研究具有重要价值。为此，HighAltitudeOmicsDB作为一款独特的数据库资源，全面收录并经人工审编了经实验验证与各类高原病症相关的基因/蛋白质、这些分子间的蛋白质-蛋白质相互作用（Protein-Protein Interactions, PPIs）以及基因本体（Gene Ontology, GO）语义相似度信息，且界面友好、内容详实。针对每条数据库条目，HighAltitudeOmicsDB还存储了调控方向（上调/下调）、表达倍数变化、研究对照组设置、暴露时长与海拔高度、表达组织、来源物种、低氧程度、实验验证方法、研究开展地点/国家、受试人群种族以及地理区域等信息。该数据库还整合了疾病与药物关联、组织特异性表达水平、GO以及京都基因与基因组百科全书（Kyoto Encyclopedia of Genes and Genomes, KEGG）通路关联相关信息。该网络资源作为独特的服务平台，可提供交互性PPI网络以及互作分子间的GO语义相似度矩阵，这些特色功能有助于深入解析高原疾病的病理机制。
