Identification of key module and hub genes in pulpitis using weighted gene co-expression network analysis.

ABSTRACT:

Background

Pulpitis is a common disease mainly caused by bacteria. Conventional approaches of diagnosing the state of dental pulp are mainly based on clinical symptoms, thereby harbor deficiencies. The accurate and rapid diagnosis of pulpitis is important for choosing the suitable therapy. The study aimed to identify pulpits related key genes by integrating micro-array data analysis and systems biology network-based methods such as weighted gene co-expression network analysis (WGCNA).

Methods

The micro-array data of 13 inflamed pulp and 11 normal pulp were acquired from Gene Expression Omnibus (GEO). WGCNA was utilized to establish a genetic network and categorize genes into diverse modules. Hub genes in the most associated module to pulpitis were screened out using high mod

SUBMITTER: Zhang D 

PROVIDER: S-EPMC9808982 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature