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Single-Nuclei Characterization of Lacrimal Gland in Scopolamine-Induced Dry Eye Disease.
Tang, Yang; Dou, Shengqian; Wei, Chao; Sun, Ziwen; Sun, Di; Zhou, Qingjun; Xie, Lixin.
Afiliación
  • Tang Y; Shandong First Medical University, Jinan, China.
  • Dou S; State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute of Shandong First Medical University, Qingdao, China.
  • Wei C; State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute of Shandong First Medical University, Qingdao, China.
  • Sun Z; State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute of Shandong First Medical University, Qingdao, China.
  • Sun D; Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
  • Zhou Q; State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute of Shandong First Medical University, Qingdao, China.
  • Xie L; State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute of Shandong First Medical University, Qingdao, China.
Invest Ophthalmol Vis Sci ; 65(4): 46, 2024 Apr 01.
Article en En | MEDLINE | ID: mdl-38687491
ABSTRACT

Purpose:

The lacrimal gland (LG) is the main organ responsible for tear secretion and an important pathogenic site for dry eye disease (DED). This study aimed to comprehensively characterize LG cellular heterogeneity under normal and DED conditions using single-nucleus RNA sequencing (snRNA-seq).

Methods:

Single LG nuclei isolated from mice with or without DED induced by scopolamine (SCOP)/desiccating stress (DS) were subjected to snRNA-seq using the 10x Genomics platform. These cells were clustered and annotated using the t-distributed stochastic neighbor embedding (t-SNE) method and unbiased computational informatic analysis. Cluster identification and functional analysis were performed based on marker gene expression and bioinformatic data mining.

Results:

The snRNA-seq analysis of 30,351 nuclei identified eight major cell types, with acinar cells (∼72.6%) being the most abundant cell type in the LG. Subclustering analysis revealed that the LG mainly contained two acinar cell subtypes, two ductal cell subclusters, three myoepithelial cell (MECs) subtypes, and four immunocyte subclusters. In the SCOP-induced DED model, three major LG parenchymal cell types were significantly altered, characterized by a reduced proportion of acinar cells with a lowered secretion potential and an augmented proportion of ductal cells and MECs. LG immunocytes in DED scenarios showed an intensified inflammatory response and dysregulated intercellular communication with three major LG parenchymal cells.

Conclusions:

Overall, this study offers a systemic single-nucleus transcriptomic profile of LGs in both normal and DED conditions and an atlas of the complicated interactions of immunocytes with major LG parenchymal cells. The findings also facilitate understanding the pathogenesis of DED.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Escopolamina / Síndromes de Ojo Seco / Modelos Animales de Enfermedad / Aparato Lagrimal Límite: Animals Idioma: En Revista: Invest Ophthalmol Vis Sci Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Escopolamina / Síndromes de Ojo Seco / Modelos Animales de Enfermedad / Aparato Lagrimal Límite: Animals Idioma: En Revista: Invest Ophthalmol Vis Sci Año: 2024 Tipo del documento: Article País de afiliación: China
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