Mass spectrometry based proteomics profiling of human monocytes

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...

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Main Authors: 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
Format: Article
Language:English
Published: Oxford University Press 2016-11-01
Series:Protein & Cell
Subjects:
Online Access:http://link.springer.com/article/10.1007/s13238-016-0342-x
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author 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
author_facet 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
author_sort Yong Zeng
collection DOAJ
description 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 vivo and in vitro datasets. The top 2000 expressed genes from in vitro datasets and 779 genes from in vivo experiments 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 vivo and in vitro datasets, 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, GPD2 and 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.
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spelling doaj.art-2e015b28117d43a2808187439172f9e52023-09-02T20:14:01ZengOxford University PressProtein & Cell1674-800X1674-80182016-11-018212313310.1007/s13238-016-0342-xMass spectrometry based proteomics profiling of human monocytesYong Zeng0Fei-Yan Deng1Wei Zhu2Lan Zhang3Hao He4Chao Xu5Qing Tian6Ji-Gang Zhang7Li-Shu Zhang8Hong-Gang Hu9Hong-Wen Deng10College of Life Sciences and Bioengineering, Beijing Jiaotong UniversityCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical MedicineCollege of Life Sciences and Bioengineering, Beijing Jiaotong UniversityCollege of Life Sciences and Bioengineering, Beijing Jiaotong UniversityCollege of Life Sciences and Bioengineering, Beijing Jiaotong UniversityAbstract 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 vivo and in vitro datasets. The top 2000 expressed genes from in vitro datasets and 779 genes from in vivo experiments 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 vivo and in vitro datasets, 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, GPD2 and 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.http://link.springer.com/article/10.1007/s13238-016-0342-xhuman monocytesproteomics knowledgebasegene ontologygene-disease associationnetwork analysis
spellingShingle 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
human monocytes
proteomics knowledgebase
gene ontology
gene-disease association
network analysis
title Mass spectrometry based proteomics profiling of human monocytes
title_full Mass spectrometry based proteomics profiling of human monocytes
title_fullStr Mass spectrometry based proteomics profiling of human monocytes
title_full_unstemmed Mass spectrometry based proteomics profiling of human monocytes
title_short Mass spectrometry based proteomics profiling of human monocytes
title_sort mass spectrometry based proteomics profiling of human monocytes
topic human monocytes
proteomics knowledgebase
gene ontology
gene-disease association
network analysis
url http://link.springer.com/article/10.1007/s13238-016-0342-x
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