首页|iHypoxia:An Integrative Database of Protein Expression Dynamics in Response to Hypoxia in Animals

iHypoxia:An Integrative Database of Protein Expression Dynamics in Response to Hypoxia in Animals

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Mammals have evolved mechanisms to sense hypoxia and induce hypoxic responses.Recently,high-throughput techniques have greatly promoted global studies of protein expression changes during hypoxia and the identification of candidate genes associated with hypoxia-adaptive evolution,which have contributed to the understanding of the complex regulatory net-works of hypoxia.In this study,we developed an integrated resource for the expression dynamics of proteins in response to hypoxia(iHypoxia),and this database contains 2589 expression events of 1944 proteins identified by low-throughput experiments(LTEs)and 422,553 quantitative expres-sion events of 33,559 proteins identified by high-throughput experiments from five mammals that exhibit a response to hypoxia.Various experimental details,such as the hypoxic experimental con-ditions,expression patterns,and sample types,were carefully collected and integrated.Further-more,8788 candidate genes from diverse species inhabiting low-oxygen environments were also integrated.In addition,we conducted an orthologous search and computationally identified 394,141 proteins that may respond to hypoxia among 48 animals.An enrichment analysis of human proteins identified from LTEs shows that these proteins are enriched in certain drug targets and cancer genes.Annotation of known posttranslational modification(PTM)sites in the proteins iden-tified by LTEs reveals that these proteins undergo extensive PTMs,particularly phosphorylation,ubiquitination,and acetylation.iHypoxia provides a convenient and user-friendly method for users to obtain hypoxia-related information of interest.We anticipate that iHypoxia,which is freely accessible at https://ihypoxia.omicsbio.info,will advance the understanding of hypoxia and serve as a valuable data resource.

HypoxiaExpression dynamicsLow-throughput experimentHigh-throughput experimentFunctional annotation

Ze-Xian Liu、Panqin Wang、Qingfeng Zhang、Shihua Li、Yuxin Zhang、Yutong Guo、Chongchong Jia、Tian Shao、Lin Li、Han Cheng、Zhenlong Wang

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State Key Laboratory of Oncology in South China,Collaborative Innovation Center for Cancer Medicine,Sun Yat-sen University Cancer Center,Sun Yat-sen University,Guangzhou 510060,China

School of Life Sciences,Zhengzhou University,Zhengzhou 450001,China

National Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaFostering Fund of Fundamental Research for Young Teachers of Zhengzhou University,ChinaProgram for Guangdong Introducing Innovative and Entrepreneurial Teams,ChinaTip-Top Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program,China

2021YFA1302100U20041528197223991953123JC213430162017ZT07S0962019TQ05Y351

2023

10.1016/j.gpb.2022.12.001

基因组蛋白质组与生物信息学报(英文版)
中国科学院北京基因组研究所

基因组蛋白质组与生物信息学报(英文版)

CSTPCDCSCD
影响因子：0.495
ISSN：1672-0229
年,卷(期)：2023.21(2)
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