Identification of nine signature proteins involved in periodontitis by integrated analysis of TMT proteomics and transcriptomics.

ABSTRACT: Recently, there are many researches on signature molecules of periodontitis derived from different periodontal tissues to determine the disease occurrence and development, and deepen the understanding of this complex disease. Among them, a variety of omics techniques have been utilized to analyze periodontitis pathology and progression. However, few accurate signature molecules are known and available. Herein, we aimed to screened and identified signature molecules suitable for distinguishing periodontitis patients using machine learning models by integrated analysis of TMT proteomics and transcriptomics with the purpose of finding novel prediction or diagnosis targets. Differential protein profiles, functional enrichment analysis, and protein-protein interaction network analysis were cond

SUBMITTER: Liu W 

PROVIDER: S-EPMC9397367 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature