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Human transporter database: Comprehensive knowledge and discovery tools in the human transporter genes
Journal article   Open access   Peer reviewed

Human transporter database: Comprehensive knowledge and discovery tools in the human transporter genes

A Y Ye, Q R Liu, C Y Li, Min Zhao and H Qu
PLoS One, Vol.9(2), e88883
2014
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https://doi.org/10.1371/journal.pone.0088883View
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Abstract

carrier protein epilepsy factual database gene expression genetic polymorphism heart contraction human Human Transporter Database Internet ligand binding molecular genetics oxidative phosphorylation personalized medicine
Transporters are essential in homeostatic exchange of endogenous and exogenous substances at the systematic, organic, cellular, and subcellular levels. Gene mutations of transporters are often related to pharmacogenetics traits. Recent developments in high throughput technologies on genomics, transcriptomics and proteomics allow in depth studies of transporter genes in normal cellular processes and diverse disease conditions. The flood of high throughput data have resulted in urgent need for an updated knowledgebase with curated, organized, and annotated human transporters in an easily accessible way. Using a pipeline with the combination of automated keywords query, sequence similarity search and manual curation on transporters, we collected 1,555 human non-redundant transporter genes to develop the Human Transporter Database (HTD) (http://htd.cbi.pku.edu.cn). Based on the extensive annotations, global properties of the transporter genes were illustrated, such as expression patterns and polymorphisms in relationships with their ligands. We noted that the human transporters were enriched in many fundamental biological processes such as oxidative phosphorylation and cardiac muscle contraction, and significantly associated with Mendelian and complex diseases such as epilepsy and sudden infant death syndrome. Overall, HTD provides a well-organized interface to facilitate research communities to search detailed molecular and genetic information of transporters for development of personalized medicine. © 2014 Ye et al.

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