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Dataset Information

Integrated Bioinformatics and Validation Reveal Potential Biomarkers Associated With Progression of Primary Sjogren's Syndrome.


ABSTRACT:

Background

Primary Sjögren's syndrome (pSS) is a chronic systemic autoimmune disease of the exocrine glands characterized by specific pathological features. Previous studies have pointed out that salivary glands from pSS patients express a unique profile of cytokines, adhesion molecules, and chemokines compared to those from healthy controls. However, there is limited evidence supporting the utility of individual markers for different stages of pSS. This study aimed to explore potential biomarkers associated with pSS disease progression and analyze the associations between key genes and immune cells.

Methods

We combined our own RNA sequencing data with pSS datasets from the NCBI Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) via</

SUBMITTER: Li N 

PROVIDER: S-EPMC8343000 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature