Dataset Information

A 24-hour light-dark time-series bulk RNA-seq dataset of the mouse lacrimal gland

ABSTRACT: The lacrimal gland is a major exocrine organ responsible for tear secretion and is essential for maintaining ocular surface homeostasis. However, time-resolved transcriptomic resources for this tissue remain limited. Here, we generated a bulk RNA-seq time-series dataset from extraorbital lacrimal glands of male C57BL/6J mice maintained under a controlled 12:12 light-dark schedule. Tissue samples were collected at 3-h intervals across a 24-h cycle, yielding eight time points with three biological replicates per time point. Libraries were prepared from total RNA and sequenced as 150-bp paired-end reads. This dataset provides a reusable temporal transcriptomic resource for downstream studies of lacrimal gland biology, ocular surface physiology, and gene-expression dynamics under defined light-dark conditions.

ORGANISM(S): Mus musculus

PROVIDER: GSE333177 | GEO | 2026/06/22

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Purpose: Sjögren's syndrome (SS) is a group of chronic autoimmune diseases primarily targeting exocrine glands, including the lacrimal glands (LG). Involvement of the lacrimal glands leads to severe dry eye, also known as Sjögren’s syndrome-associated dry eye (SSDE). Current, available animal models of SS are achieved by using autoantigens from salivary gland. This study aims to establish a SSDE mouse model using lacrimal glands as autoantigen. Methods: To establish the LGSS model, autoimmune responses were induced in mice using homogenized lacrimal gland proteins. LGSS mice were evaluated at various timepoints after immunization to determine SS development. SS phenotype such as tear and saliva secretion, lymphocyte infiltration in the lacrimal and salivary glands and serum autoantibody levels was assessed. Immune cell profiles in the spleen and cervical lymph nodes were evaluated via flow cytometry. In addition, corneal epithelial intactness, goblet cell density, lacrimal gland injury were evaluated to assess lacrimal gland involvement and secondary ocular surface damage. RNA sequencing and gene enrichment analysis of diseased lacrimal glands were performed. Results: LGSS mice demonstrated a reduced tear and saliva secretion, increased lymphocyte infiltration, and elevated autoantibody levels that are similar to common SS mice. Additionally, the established LGSS mice demonstrated increased populations of Th1 and Th17 cell, along with lacrimal gland and ocular surface damage. RNA sequencing revealed that LGSS mice shared a common genetic profile with NOD mice, the spontaneous SS model, such as Parp9, Cdkn2c, and Ifi35. Additionally, LGSS mice exhibited several uniquely expressed genes, including metabolism-related genes (Cbs, Dlst, Sardh) and genes associated with cellular processes (Actc1, Tnnc1). Conclusion: The LGSS mice have been shown that successfully replicates several key features of SS and demonstrates significant lacrimal gland and ocular surface damages, making it a valuable animal model to study SSDE.

Dataset Information

A 24-hour light-dark time-series bulk RNA-seq dataset of the mouse lacrimal gland

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets