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Mass spectrometry based proteomics profiling of human monocytes

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...

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Autores principales: Zeng, Yong, Deng, Fei-Yan, Zhu, Wei, Zhang, Lan, He, Hao, Xu, Chao, Tian, Qing, Zhang, Ji-Gang, Zhang, Li-Shu, Hu, Hong-Gang, Deng, Hong-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Higher Education Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291777/
https://www.ncbi.nlm.nih.gov/pubmed/27878450
http://dx.doi.org/10.1007/s13238-016-0342-x
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author Zeng, Yong
Deng, Fei-Yan
Zhu, Wei
Zhang, Lan
He, Hao
Xu, Chao
Tian, Qing
Zhang, Ji-Gang
Zhang, Li-Shu
Hu, Hong-Gang
Deng, Hong-Wen
author_facet Zeng, Yong
Deng, Fei-Yan
Zhu, Wei
Zhang, Lan
He, Hao
Xu, Chao
Tian, Qing
Zhang, Ji-Gang
Zhang, Li-Shu
Hu, Hong-Gang
Deng, Hong-Wen
author_sort Zeng, Yong
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13238-016-0342-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-52917772017-02-16 Mass spectrometry based proteomics profiling of human monocytes Zeng, Yong Deng, Fei-Yan Zhu, Wei Zhang, Lan He, Hao Xu, Chao Tian, Qing Zhang, Ji-Gang Zhang, Li-Shu Hu, Hong-Gang Deng, Hong-Wen Protein Cell Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13238-016-0342-x) contains supplementary material, which is available to authorized users. Higher Education Press 2016-11-22 2017-02 /pmc/articles/PMC5291777/ /pubmed/27878450 http://dx.doi.org/10.1007/s13238-016-0342-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Zeng, Yong
Deng, Fei-Yan
Zhu, Wei
Zhang, Lan
He, Hao
Xu, Chao
Tian, Qing
Zhang, Ji-Gang
Zhang, Li-Shu
Hu, Hong-Gang
Deng, Hong-Wen
Mass spectrometry based proteomics profiling of human monocytes
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 Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291777/
https://www.ncbi.nlm.nih.gov/pubmed/27878450
http://dx.doi.org/10.1007/s13238-016-0342-x
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