Proteomics. Clinical applications · 2019
Identification of Predictive Proteins and Biological Pathways for the Tumorigenicity of Vestibular Schwannoma by Proteomic Profiling.
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Xu Jianhui, Zhang Yang, Shi Yuxuan, Yin Dongming, Dai Peidong, Zhao Weidong, Zhang Tianyu
Аннотация
PURPOSE: Vestibular schwannomas (VSs) are benign tumors that account for 8-10% of all intracranial tumors. So far, the tumorigenesis of VS has not been fully elucidated. This study is designed to identify differently expressed proteins involved in VS tumorigenesis.
EXPERIMENTAL DESIGN: An isobaric tag is used for relative and absolute quantification (iTRAQ) approach to characterize the protein expression profiles from pooled VS tissues (n = 12) and pooled matched normal vestibular tissues (n = 12).
RESULTS: A total of 933 differentially expressed proteins are identified between VS and the matched normal vestibular tissues, with 489 being upregulated and 444 being downregulated. Bioinformatics analyses are performed according to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Several of the differentially expressed proteins are validated by western blotting analyses, and upregulation of LGALS1, ANXA1, GRB2, and STAT1 is validated in VS tissue by immunohistochemistry.
CONCLUSIONS AND CLINICAL RELEVANCE: The study represents the successful application of iTRAQ technology to an investigation of VS. Many of the differentially expressed proteins identified here have not been linked to VS before, and these dysregulated proteins may provide potential biomarkers for human VS diagnosis.
EXPERIMENTAL DESIGN: An isobaric tag is used for relative and absolute quantification (iTRAQ) approach to characterize the protein expression profiles from pooled VS tissues (n = 12) and pooled matched normal vestibular tissues (n = 12).
RESULTS: A total of 933 differentially expressed proteins are identified between VS and the matched normal vestibular tissues, with 489 being upregulated and 444 being downregulated. Bioinformatics analyses are performed according to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Several of the differentially expressed proteins are validated by western blotting analyses, and upregulation of LGALS1, ANXA1, GRB2, and STAT1 is validated in VS tissue by immunohistochemistry.
CONCLUSIONS AND CLINICAL RELEVANCE: The study represents the successful application of iTRAQ technology to an investigation of VS. Many of the differentially expressed proteins identified here have not been linked to VS before, and these dysregulated proteins may provide potential biomarkers for human VS diagnosis.