Exploring the Uncharacterized Human Proteome Using neXtProt

人类蛋白质组计划 蛋白质组 图谱 计算生物学 生物 人类蛋白质 蛋白质组学 人类基因组 基因组计划 系统生物学 注释 基因组 基因 生物信息学 遗传学 蛋白质表达
作者
Paula Duek,Alain Gateau,Amos Bairoch,Lydie Lane
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:17 (12): 4211-4226 被引量:38
标识
DOI:10.1021/acs.jproteome.8b00537
摘要

20,230 protein-coding genes have been predicted from the analysis of the human genome (neXtProt release 2018-01-17), and about 10% of them are still lacking functional annotation, either predicted by bioinformatics tools or captured from experimental reports. A systematic exploration of the available literature on uncharacterized human genes/proteins led to proposal of functional annotations for 113 proteins and to consolidation of a list of 1,862 uncharacterized human proteins. The advanced search functionality of neXtProt was used extensively in order to examine the landscape of the uncharacterized human proteome in terms of subcellular locations, protein–protein interactions, tissue expression, association with diseases, and 3D structure. Finally, a deep data mining in various publicly available resources allowed building functional hypotheses for 26 uncharacterized human proteins validated at protein level (uPE1). These hypotheses cover the fields of cilia biology, male reproduction, metabolism, nervous system, immunity, inflammation, RNA metabolism, and chromatin biology. They will require experimental validation before they can be considered for annotation. Despite technological progresses, the pace of human protein characterization studies is still slow. It could be accelerated by a better integration of existing knowledge resources and by initiating large collaborative projects involving specialists of different biology fields. We hope that our analysis will contribute to set up the ground for such collaborative approaches and will be exploited by the HUPO Human Proteome Project teams committed to characterize uPE1 proteins.
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