Digital spatial profiling of segmental outflow regions in trabecular meshwork reveals a role for ADAM15.

ABSTRACT: In this study we used a spatial transcriptomics approach to identify genes specifically associated with either high or low outflow regions in the trabecular meshwork (TM) that could potentially affect aqueous humor outflow in vivo. High and low outflow regions were identified and isolated from organ cultured human anterior segments perfused with fluorescently-labeled 200 nm FluoSpheres. The NanoString GeoMx Digital Spatial Profiler (DSP) platform was then used to identified genes in the paraffin embedded tissue sections from within those regions. These transcriptome analyses revealed that 16 genes were statistically upregulated in high outflow regions and 57 genes were statistically downregulated in high outflow regions when compared to low outflow regions. Gene ontology enrichment analysi

SUBMITTER: Faralli JA 

PROVIDER: S-EPMC10889904 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature