This review gives an overview of significant advances in LC-MS-based proteomics and sheds light on CHO proteomic studies, with a particular focus on CHO cells with superior bioprocessing phenotypes (growth, viability, titer, productivity and cQA), that have exploited novel proteomic or sub-omic techniques.

To provide a rationale for those achievements, a myriad of CHO proteomic studies has arisen in recent decades. Research endeavors have been directed to the optimization of CHO-based bioprocesses to increase protein quantity and quality, often in an empirical manner. These proteins participate in numerous important interactions, and transcription factors, microRNAs, and drugs can regulate their expression.Ĭhinese hamster ovary (CHO) cells are the preferred mammalian host for the large-scale production of recombinant proteins in the biopharmaceutical industry. 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. 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 are involved in metabolic pathways related to folate, selenium, and vitamin B12 metabolism.

On the other hand, the main drugs associated with these proteins are potassium persulfate, aluminum, and cadmium. 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. We found three transcription factors that regulate most of the genes of these proteins: TFDP1, SOX13, and BCL6. These proteins show enrichment in antioxidant activity, antimicrobial response, immune response, and vitamin and mineral metabolism. In the literature search, we extracted 26 differentially expressed proteins. 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. We analyzed these proteins with the web application ShinyGO v0.76, ToppGene and NetworkAnalyst 3.0, and the Cytoscape platform. We extracted proteins from a bibliographic search in the Scopus and PubMed databases. Proteomics allows us to analyze and identify many proteins in a single sample and a single 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.ĭental 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. Dental caries can affect the expression of salivary proteins.

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