Juan Manuel Guzman-Flores, Fernando Martínez-Esquivias, Julieta Sarai Becerra-Ruiz, Sandra Berenice Vázquez-Rodríguez
{"title":"Integration of proteomic data obtained from the saliva of children with caries through bioinformatic analysis","authors":"Juan Manuel Guzman-Flores, Fernando Martínez-Esquivias, Julieta Sarai Becerra-Ruiz, Sandra Berenice Vázquez-Rodríguez","doi":"10.2174/1570164620666230331102317","DOIUrl":null,"url":null,"abstract":"\n\nDental caries can affect the expression of salivary proteins. Proteomics allows us to analyze and identify many proteins in a single sample and experiment; bioinformatics is essential to analyze proteomic data. Objective: This research aims to identify and integrate the main differentially expressed proteins in the saliva of children with caries, infer their Gene Ontology and interactions, and identify regulatory factors.\n\n\n\nDental caries can affect the expression of salivary proteins. Proteomics allows us to analyze and identify many proteins in a single sample and a single experiment; bioinformatics is essential to analyze proteomic data.\n\n\n\nWe extracted proteins from a bibliographic search in the Scopus and PubMed databases. We analyzed these proteins with the web application ShinyGO v0.76, ToppGene and NetworkAnalyst 3.0, and the Cytoscape platform.\n\n\n\nThis research aims to identify and integrate the main differentially expressed proteins in the saliva of children with caries, infer their Gene Ontology and interactions, and identify regulatory factors.\n\n\n\nIn the literature search, we extracted 26 differentially expressed proteins. These proteins show enrichment in antioxidant activity, antimicrobial response, immune response, and vitamin and mineral metabolism. We found three transcription factors that regulate most of the genes of these proteins: TFDP1, SOX13, and BCL6. We also identified three microRNAs that highly restrict the expression of these proteins: hsa-mir-124-3p, hsa-mir-27a-3p, and hsa-mir-26b-5p. On the other hand, the main drugs associated with these proteins are potassium persulfate, aluminum, and cadmium.\n\n\n\nThe differentially expressed proteins in the saliva of children with dental caries are involved in metabolic pathways related to folate, selenium, and vitamin B12 metabolism. In addition, some transcription factors (TFDP1, SOX13, and BCL6) miRNAs (hsa-mir-124-3p, hsa-mir-27a-3p, and hsa-mir-26b-5p) and chemical compounds (potassium persulfate, aluminum, and cadmium) can regulate the genes, mRNAs or proteins studied.\n\n\n\nThe differentially expressed proteins in the saliva of children with dental caries reflect the cariogenic state of the patients and the immune system's response to combat this condition. These proteins participate in numerous important interactions, and transcription factors, microRNAs, and drugs can regulate their expression.\n\n\n\nNone\n","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"15 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-03-31","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/10.2174/1570164620666230331102317","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
Dental caries can affect the expression of salivary proteins. Proteomics allows us to analyze and identify many proteins in a single sample and experiment; bioinformatics is essential to analyze proteomic data. Objective: This research aims to identify and integrate the main differentially expressed proteins in the saliva of children with caries, infer their Gene Ontology and interactions, and identify regulatory factors.
Dental caries can affect the expression of salivary proteins. Proteomics allows us to analyze and identify many proteins in a single sample and a single experiment; bioinformatics is essential to analyze proteomic data.
We extracted proteins from a bibliographic search in the Scopus and PubMed databases. We analyzed these proteins with the web application ShinyGO v0.76, ToppGene and NetworkAnalyst 3.0, and the Cytoscape platform.
This research aims to identify and integrate the main differentially expressed proteins in the saliva of children with caries, infer their Gene Ontology and interactions, and identify regulatory factors.
In the literature search, we extracted 26 differentially expressed proteins. These proteins show enrichment in antioxidant activity, antimicrobial response, immune response, and vitamin and mineral metabolism. We found three transcription factors that regulate most of the genes of these proteins: TFDP1, SOX13, and BCL6. We also identified three microRNAs that highly restrict the expression of these proteins: hsa-mir-124-3p, hsa-mir-27a-3p, and hsa-mir-26b-5p. On the other hand, the main drugs associated with these proteins are potassium persulfate, aluminum, and cadmium.
The differentially expressed proteins in the saliva of children with dental caries are involved in metabolic pathways related to folate, selenium, and vitamin B12 metabolism. In addition, some transcription factors (TFDP1, SOX13, and BCL6) miRNAs (hsa-mir-124-3p, hsa-mir-27a-3p, and hsa-mir-26b-5p) and chemical compounds (potassium persulfate, aluminum, and cadmium) can regulate the genes, mRNAs or proteins studied.
The differentially expressed proteins in the saliva of children with dental caries reflect the cariogenic state of the patients and the immune system's response to combat this condition. These proteins participate in numerous important interactions, and transcription factors, microRNAs, and drugs can regulate their expression.
None
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.