Mass spectrometry based proteomics profiling of human monocytes

Yong Zeng, Fei-Yan Deng, Wei Zhu, Lan Zhang, Hao He, Chao Xu, Qing Tian, Ji-Gang Zhang, Li-Shu Zhang, Hong-Gang Hu, Hong-Wen Deng

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Protein Cell ›› 2017, Vol. 8 ›› Issue (2) : 123-133. DOI: 10.1007/s13238-016-0342-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Mass spectrometry based proteomics profiling of human monocytes

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Abstract

Human monocyte is an important cell type which is involved in various complex human diseases. To better understand the biology of human monocytes and facilitate further studies, we developed the first comprehensive proteome knowledge base specifically for human monocytes by integrating both in vivoand in vitrodatasets. The top 2000 expressed genes from in vitrodatasets and 779 genes from in vivoexperiments were integrated into this study. Altogether, a total of 2237 unique monocyte-expressed genes were cataloged. Biological functions of these monocyte-expressed genes were annotated and classified via Gene Ontology (GO) analysis. Furthermore, by extracting the overlapped genes from in vivoand in vitrodatasets, a core gene list including 541 unique genes was generated. Based on the core gene list, further gene-disease associations, pathway and network analyses were performed. Data analyses based on multiple bioinformatics tools produced a large body of biologically meaningful information, and revealed a number of genes such as SAMHD1, G6PD, GPD2and ENO1, which have been reported to be related to immune response, blood biology, bone remodeling, and cancer respectively. As a unique resource, this study can serve as a reference map for future in-depth research on monocytes biology and monocyte-involved human diseases.

Keywords

human monocytes / proteomics knowledgebase / gene ontology / gene-disease association / network analysis

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Yong Zeng, Fei-Yan Deng, Wei Zhu, Lan Zhang, Hao He, Chao Xu, Qing Tian, Ji-Gang Zhang, Li-Shu Zhang, Hong-Gang Hu, Hong-Wen Deng. Mass spectrometry based proteomics profiling of human monocytes. Protein Cell, 2017, 8(2): 123‒133 https://doi.org/10.1007/s13238-016-0342-x

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2016 The Author(s) 2016. This article is published with open access at Springerlink.com and journal.hep.com.cn
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