L. Yin, Yujiao Zhang, Huichun Shi, Ya-ru Xing, Hong Zhou Lu, Lijun Zhang
{"title":"Proteomic study of the mechanism of talin-C as an inhibitor of HIV infection","authors":"L. Yin, Yujiao Zhang, Huichun Shi, Ya-ru Xing, Hong Zhou Lu, Lijun Zhang","doi":"10.2174/1570164618999201214153239","DOIUrl":null,"url":null,"abstract":"\n\n Talin-1 is involved in human immunodeficiency virus (HIV) invasion and synapse development.\nWe found that talin-1 was cleaved into a 38 KDa fragment (talin-C) in the peripheral blood mononuclear cells (PBMCs) of\nHIV patients; however, the underlying mechanisms remain unknown.\n\n\n\nThis study aimed to determine the relationship between talin-C and HIV infection and identify the mechanisms\nunderlying the ability of this protein to influence HIV infection.\n\n\n\n PBMCs were derived from HIV-infected patients enrolled in this study. N- and C-terminal peptides matching the\npotential sequence of talin-C were detected in PBMCs by multiple reaction monitoring (MRM) mass spectrometry. TZM-b1\ncells were infected with HIV-1 pseudotyped virus (HIVpp) for different durations to detect the talin-C product. Three stable\ncell lines overexpressing talin head (TLN1-H) or TLN1-C or with TLN1 knockdown (shTLN1) were created and infected by\nHIVpp. The HIV marker protein (P24) was then detected by enzyme-linked immunosorbent assay. Finally, an isobaric tag\nfor relative and absolute quantification (iTRAQ)-based proteomic study was performed to detect the TLN1-C-regulated proteins with or without HIVpp infection in TZM-bl cells. The identified proteins were analyzed by R version 4.0.2, and\nSTRING software (Version: 11.0) (https://string-db.org).\n\n\n\nN- and C-peptides of talin-C were detected to have higher expression in patients with lower HIV load. Talin-C was\nproduced during HIVpp infection. TLN1-C significantly inhibited HIVpp infection in the TZM-b1 cells. Additionally, a proteomic study found that TLN1-C regulated the expression of 99 proteins in TZM-b1 cells without and with HIVpp infection,\nrespectively. According to Gene Ontology (GO) annotation, proteins with cellular metabolic process and binding function\nwere found to be enriched. Thirty four proteins have protein-protein interaction, including 19 down- and 15 up- regulated\nproteins, respectively.\n\n\n\nTalin-C was produced following HIV infection, and is inversely proportional to HIV load. A proteomic study\nindicated that TLN1-C might be involved in HIV infection through regulating metabolic processes.\n","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"64 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2020-12-14","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/10.2174/1570164618999201214153239","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
Talin-1 is involved in human immunodeficiency virus (HIV) invasion and synapse development.
We found that talin-1 was cleaved into a 38 KDa fragment (talin-C) in the peripheral blood mononuclear cells (PBMCs) of
HIV patients; however, the underlying mechanisms remain unknown.
This study aimed to determine the relationship between talin-C and HIV infection and identify the mechanisms
underlying the ability of this protein to influence HIV infection.
PBMCs were derived from HIV-infected patients enrolled in this study. N- and C-terminal peptides matching the
potential sequence of talin-C were detected in PBMCs by multiple reaction monitoring (MRM) mass spectrometry. TZM-b1
cells were infected with HIV-1 pseudotyped virus (HIVpp) for different durations to detect the talin-C product. Three stable
cell lines overexpressing talin head (TLN1-H) or TLN1-C or with TLN1 knockdown (shTLN1) were created and infected by
HIVpp. The HIV marker protein (P24) was then detected by enzyme-linked immunosorbent assay. Finally, an isobaric tag
for relative and absolute quantification (iTRAQ)-based proteomic study was performed to detect the TLN1-C-regulated proteins with or without HIVpp infection in TZM-bl cells. The identified proteins were analyzed by R version 4.0.2, and
STRING software (Version: 11.0) (https://string-db.org).
N- and C-peptides of talin-C were detected to have higher expression in patients with lower HIV load. Talin-C was
produced during HIVpp infection. TLN1-C significantly inhibited HIVpp infection in the TZM-b1 cells. Additionally, a proteomic study found that TLN1-C regulated the expression of 99 proteins in TZM-b1 cells without and with HIVpp infection,
respectively. According to Gene Ontology (GO) annotation, proteins with cellular metabolic process and binding function
were found to be enriched. Thirty four proteins have protein-protein interaction, including 19 down- and 15 up- regulated
proteins, respectively.
Talin-C was produced following HIV infection, and is inversely proportional to HIV load. A proteomic study
indicated that TLN1-C might be involved in HIV infection through regulating metabolic processes.
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.