DBLiPro: A Database for Lipids and Proteins in Human Lipid Metabolism

被引:0
作者
Qian Wu
Yuanyuan Huang
Xiangya Kong
Ben Jia
Xiaoting Lu
Yunqin Chen
Zechi Huang
Yuan-Yuan Li
Wentao Dai
机构
[1] Fudan University,NHC Key Laboratory of Reproduction Regulation & Shanghai
[2] Beijing Cloudna Technology Co.,MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT)
[3] Ltd.,Shanghai Key Laboratory of Gastric Neoplasms, Department of General Surgery, Shanghai Institute of Digestive Surgery
[4] Ruijin Hospital,undefined
[5] Shanghai Jiao Tong University School of Medicine,undefined
[6] Shanghai Engineering Research Center of Pharmaceutical Translation,undefined
来源
Phenomics | 2023年 / 3卷
关键词
Lipid-associated proteins; Lipid; Human lipid metabolism; Database; Omics;
D O I
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中图分类号
学科分类号
摘要
To help researchers in the field of biology, medicine, chemistry, and materials science to use lipidomic data conveniently, there is an urgent need to develop a platform that provides a systematic knowledgebase of human lipid metabolism and lipidome-centric omics analysis tools. DBLiPro is a user-friendly webserver allowing for access to human metabolism-related lipids and proteins knowledge database and an interactive bioinformatics integrative analysis workflow for lipidomics, transcriptomics, and proteomics data. In DBLiPro, there are 3109 lipid-associated proteins (LAPs) and 2098 lipid metabolites in the knowledge base section, which were obtained from Uniprot, Kyoto Encyclopedia of Genes and Genomes (KEGG) and were further annotated by information from other public resources in the knowledge base section, such as RaftProt and PubChem. DBLiPro offers a step-by-step interactive analysis workflow for lipidomics, transcriptomics, proteomics, and their integrating multi-omics analysis focusing on the human lipid metabolism. In summary, DBLiPro is capable of helping users discover key molecules (lipids and proteins) in human lipid metabolism and investigate lipid–protein functions underlying mechanisms based on their own omics data. The DBLiPro is freely available at http://lipid.cloudna.cn/home.
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页码:350 / 359
页数:9
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