Qing Xu, Li Xu, P. He, Yang-Hua Sun, Xin Lu, S. Lei, F. Deng
{"title":"Quantitative Proteomic Study of Peripheral Blood Monocytes Identified Novel Genes Involved in Osteoporosis","authors":"Qing Xu, Li Xu, P. He, Yang-Hua Sun, Xin Lu, S. Lei, F. Deng","doi":"10.2174/1570164617999201124205339","DOIUrl":null,"url":null,"abstract":"\n\nOsteoporosis (OP) is mainly characterized by low bone mineral density (BMD) and microarchitectural\ndeterioration of bone tissue. We performed label-free quantitative proteomics to discover novel proteins involved in the\npathogenesis of osteoporosis.\n\n\n\nWe employed extreme sampling study design to collect subjects with low BMD (Z-score<-1.30±0.47) and high\nBMD (Z-score>1.06±0.49), liquid chromatography and mass spectrometry (LC-MS) technologies to identify peripheral\nblood monocyte (PBM)-expressed proteins significant for OP in Chinese elderly women (Study Sample 1) and men (Study\nSample 2), respectively.\n\n\n\nA total of 131 differentially expressed proteins (DEPs) and 200 DEPs were identified in subjects with low vs. high\nBMD from the Study Samples 1 and 2, respectively. Interestingly, three DEPs (WNK1, SHTN1 and DPM1) were\nsignificantly and consistently regulated with BMD in both genders. GO analysis showed that these DEPs were significantly\nenriched in “extracellular exosome”, “protein binding” and “cell-cell adherens junction” (p < 0.05). Pathway enrichment\nresults showed that these DEPs were significantly enriched in “protein ubiquitination”, “ER-Phagosome pathway” and\n“antigen processing” (p < 0.05). Protein-Protein Interaction (PPI) networks were constructed, pointing out key node\nproteins, including HSPA8, PKM, AKT1 and ABI1. Mining data from independent -omics studies highlighted that 174\nDEPs, as identified from above, were significant for OP in Caucasians as well, including WNK1 and DPM1.\n\n\n\nThe study identified known and novel proteins significant for OP in both genders and/or across ethnicities in both\nChinese and Caucasians. Our findings may provide clues for further research on the underlying pathogenic mechanism of OP.\n","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"89 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/1570164617999201124205339","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Osteoporosis (OP) is mainly characterized by low bone mineral density (BMD) and microarchitectural
deterioration of bone tissue. We performed label-free quantitative proteomics to discover novel proteins involved in the
pathogenesis of osteoporosis.
We employed extreme sampling study design to collect subjects with low BMD (Z-score<-1.30±0.47) and high
BMD (Z-score>1.06±0.49), liquid chromatography and mass spectrometry (LC-MS) technologies to identify peripheral
blood monocyte (PBM)-expressed proteins significant for OP in Chinese elderly women (Study Sample 1) and men (Study
Sample 2), respectively.
A total of 131 differentially expressed proteins (DEPs) and 200 DEPs were identified in subjects with low vs. high
BMD from the Study Samples 1 and 2, respectively. Interestingly, three DEPs (WNK1, SHTN1 and DPM1) were
significantly and consistently regulated with BMD in both genders. GO analysis showed that these DEPs were significantly
enriched in “extracellular exosome”, “protein binding” and “cell-cell adherens junction” (p < 0.05). Pathway enrichment
results showed that these DEPs were significantly enriched in “protein ubiquitination”, “ER-Phagosome pathway” and
“antigen processing” (p < 0.05). Protein-Protein Interaction (PPI) networks were constructed, pointing out key node
proteins, including HSPA8, PKM, AKT1 and ABI1. Mining data from independent -omics studies highlighted that 174
DEPs, as identified from above, were significant for OP in Caucasians as well, including WNK1 and DPM1.
The study identified known and novel proteins significant for OP in both genders and/or across ethnicities in both
Chinese and Caucasians. Our findings may provide clues for further research on the underlying pathogenic mechanism of OP.
Current ProteomicsBIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍:
Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry.
Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to:
Protein separation and characterization techniques
2-D gel electrophoresis and image analysis
Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching
Determination of co-translational and post- translational modification of proteins
Protein/peptide microarrays
Biomolecular interaction analysis
Analysis of protein complexes
Yeast two-hybrid projects
Protein-protein interaction (protein interactome) pathways and cell signaling networks
Systems biology
Proteome informatics (bioinformatics)
Knowledge integration and management tools
High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography)
High-throughput computational methods for protein 3-D structure as well as function determination
Robotics, nanotechnology, and microfluidics.