Transcriptomics,Multiomics

Dataset Information

0

Cell Atlas of Aqueous Humor Outflow Pathways in Eyes of Humans and Four Model Species Provides Insights into Glaucoma Pathogenesis [Rhesus Macaque]


ABSTRACT: Increased intraocular pressure (IOP) represents a major risk factor for glaucoma, a prevalent eye disease characterized by death of retinal ganglion cells that carry information from the eye to the brain; lowering IOP is the only proven treatment strategy to delay disease progression.  The main determinant of IOP is the equilibrium between production and drainage of aqueous humor, with compromised drainage generally viewed as the primary contributor to dangerous IOP elevations.  Drainage occurs through two pathways in the anterior segment of the eye, called conventional and uveoscleral.  To gain insights into the cell types that comprise these pathways, we used high-throughput single cell RNA sequencing (scRNA-seq). From ~24,000 single cell transcriptomes, we identified 19 cell types with molecular markers for each and used histological methods to localize each type. We then performed similar analyses on four organisms used for experimental studies of IOP dynamics and glaucoma: cynomolgus macaque (Macaca fascicularis), rhesus macaque (Macaca mulatta), pig (Sus scrofa) and mouse (Mus musculus). Many human cell types had counterparts in these models, but differences in cell types and gene expression were evident.  Finally, we identified the cell types that express genes implicated in glaucoma in all five species.  Together, our results provide foundations for investigating the pathogenesis of glaucoma, and for using model systems to assess mechanisms and potential interventions. 

ORGANISM(S): Macaca mulatta

PROVIDER: GSE148374 | GEO | 2020/05/19

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2020-05-19 | GSE148371 | GEO
2020-05-19 | GSE146187 | GEO
2020-05-19 | GSE146186 | GEO
2020-05-19 | GSE148373 | GEO
2013-09-27 | E-GEOD-45570 | biostudies-arrayexpress
2010-10-01 | E-GEOD-12596 | biostudies-arrayexpress
2013-09-27 | GSE45570 | GEO
2022-12-28 | GSE218153 | GEO
2010-10-01 | GSE12596 | GEO
2010-05-19 | E-GEOD-9288 | biostudies-arrayexpress