IADR Abstract Archives
A Novel web Tool for Data Exploration of lip Salivary Gland RNA-Sequencing From Sjogren’s Disease and Sicca Patients
Objectives: Sjögren's disease (SjD) is an autoimmune condition characterized by chronic inflammation of exocrine glands, primarily affecting lacrimal and salivary glands. This leads to hallmark symptoms such as dry mouth (xerostomia), dry eyes (keratoconjunctivitis sicca), and in a subset of patients to systemic manifestations impacting multiple organs. Understanding the pathogenesis of SjD through transcriptomic analysis can reveal disease-specific biomarkers and mechanisms. This study aimed to develop a novel, user-friendly web tool to efficiently explore salivary gland RNA-sequencing (RNA-seq) data from an observational SjD- Sicca control cohort.
Methods: A curated RNA-seq dataset was assembled from lip salivary gland biopsies of 92 patients (51 with SjD and 41 with sicca- unspecific sialadenitis) alongside comprehensive clinical, serological, and histological data. The web tool facilitates transcriptomic analysis with two main functionalities: (1) comparative analysis of gene expression profiles between SjD and sicca patients, and (2) detailed exploration of transcriptomic patterns within the SjD cohort. Differential gene expression analysis could be used to identify disease-specific gene signatures and their associations with clinical features.
Results: The web tool enabled efficient interrogation of the dataset, highlighting distinct gene expression profiles between SjD and sicca patients. Gene expression could be explored in association with clinical, serological, and histological features, providing insights into SjD-specific molecular pattern. Additionally, within the SjD cohort, transcriptomic patterns could inform potential disease biomarkers linked to clinical manifestations.
Conclusions: The novel web-based platform provides an accessible interface for analyzing salivary gland RNA-seq data from SjD and sicca patients. By enabling comparative analyses, this tool supports the identification of disease-specific gene signatures and biomarkers, offering valuable resources for advancing research in SjD pathogenesis.
Methods: A curated RNA-seq dataset was assembled from lip salivary gland biopsies of 92 patients (51 with SjD and 41 with sicca- unspecific sialadenitis) alongside comprehensive clinical, serological, and histological data. The web tool facilitates transcriptomic analysis with two main functionalities: (1) comparative analysis of gene expression profiles between SjD and sicca patients, and (2) detailed exploration of transcriptomic patterns within the SjD cohort. Differential gene expression analysis could be used to identify disease-specific gene signatures and their associations with clinical features.
Results: The web tool enabled efficient interrogation of the dataset, highlighting distinct gene expression profiles between SjD and sicca patients. Gene expression could be explored in association with clinical, serological, and histological features, providing insights into SjD-specific molecular pattern. Additionally, within the SjD cohort, transcriptomic patterns could inform potential disease biomarkers linked to clinical manifestations.
Conclusions: The novel web-based platform provides an accessible interface for analyzing salivary gland RNA-seq data from SjD and sicca patients. By enabling comparative analyses, this tool supports the identification of disease-specific gene signatures and biomarkers, offering valuable resources for advancing research in SjD pathogenesis.