Unknown

Dataset Information

Identification of potentially functional circRNAs and prediction of circRNA-miRNA-mRNA regulatory network in periodontitis: Bridging the gap between bioinformatics and clinical needs.


ABSTRACT:

Background and objective

Periodontitis is a multifactorial chronic inflammatory disease that can lead to the irreversible destruction of dental support tissues. As an epigenetic factor, the expression of circRNA is tissue-dependent and disease-dependent. This study aimed to identify novel periodontitis-associated circRNAs and predict relevant circRNA-periodontitis regulatory network by using recently developed bioinformatic tools and integrating sequencing profiling with clinical information for getting a better and more thorough image of periodontitis pathogenesis, from gene to clinic.

Material and methods

High-throughput sequencing and RT-qPCR were conducted to identify differentially expressed circRNAs in gingival tissues from periodontitis patients. The relationship betw

SUBMITTER: Yu W 

PROVIDER: S-EPMC9325354 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature