Transcriptomic profiling of normal and glaucomatous trabecular meshwork cells in a tissue-like soft ECM environment
10 affiliations
- 1Department of Ophthalmology and Visual Sciences, Center for Vision Research, SUNY Upstate Medical University, Syracuse, NY 13210, USA
- 2Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY 13210, USA
- 3Department of Cellular Biology and Anatomy, Augusta University, Augusta, GA 30912, USA
- 4Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY 13210, USA
- 5Department of Ophthalmology, Duke Eye Center, Duke University, Durham, NC 27705, USA
- 6Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA
- 7Department of Ophthalmology, Mayo Clinic, Rochester, MN 55905, USA
- 8Department of Cell and Developmental Biology, SUNY Upstate Medical University, Syracuse, NY 13210, USA
- 9BioInspired Institute, Syracuse University, Syracuse, NY 13244, USA
- 10Department of Biomedical and Chemical Engineering, Syracuse University, Syracuse, NY 13244, USA
Abstract
Purpose. Trabecular meshwork (TM) dysfunction contributes to the elevated intraocular pressure in primary open-angle glaucoma. To better understand the molecular signature distinguishing glaucomatous from normal TM cells, we interrogated their genome-wide transcriptomic differences in a tissue-like soft extracellular matrix (ECM) microenvironment. Methods. Primary human glaucomatous and normal TM cell strains (N = 5 each) from three independent laboratories were plated on bioengineered collagen type I/hyaluronic acid/elastin-like polypeptide ECM hydrogels in 10% FBS media for 4-5 days, then serum-free media for 2 days. Cell-laden hydrogels were homogenized in TRIzol for RNA isolation, quality assessment, and library preparation, followed by paired-end 100-bp Illumina sequencing. Differential expression was assessed using DESeq2, including glaucoma status, originating laboratory, and donor age/sex in the model. Differentially expressed genes (DEGs) were defined as p < 0.05 and |fold change| [≥] 2, followed by Gene Ontology (GO) enrichment and QIAGEN Ingenuity Pathway Analysis (IPA). Results. In total, 588 DEGs distinguished the glaucomatous from the normal TM transcriptome (393 up-regulated in glaucomatous TM; 195 up-regulated in normal TM, i.e., down-regulated in glaucomatous TM). GO and IPA causal analyses revealed three coordinated disease programs: (i) TGF-{beta}/Wnt-driven ECM remodeling and fibrosis, (ii) NF-{kappa}B-associated inflammation, and (iii) a hypoxia/metabolic-stress program linked to p300/CREBBP chromatin co-activation. Conclusions. These data define a transcriptomic signature of glaucomatous TM cells when cultured in a soft physiologic ECM microenvironment, independent of the originating laboratory, with three mechanistic axes (ECM/fibrosis, inflammation, hypoxia/metabolism), and nominate p300 (encoded by EP300) as a candidate upstream node integrating these programs.
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BibTeX
@misc{ghosh2026transcriptomic,
title = {{Transcriptomic profiling of normal and glaucomatous trabecular meshwork cells in a tissue-like soft ECM environment}},
author = {Rajanya Ghosh and Rachel Hadvina and Ana N. Strat and Preethi S. Ganapathy and W. Daniel Stamer and Kate E. Keller and Yutao Liu and Samuel Herberg},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.26.761819},
url = {https://www.biorxiv.org/content/10.64898/2026.10.26.761819v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - Transcriptomic profiling of normal and glaucomatous trabecular meshwork cells in a tissue-like soft ECM environment
AU - Rajanya Ghosh
AU - Rachel Hadvina
AU - Ana N. Strat
AU - Preethi S. Ganapathy
AU - W. Daniel Stamer
AU - Kate E. Keller
AU - Yutao Liu
AU - Samuel Herberg
PY - 2026
DA - 2026/10/26
PB - bioRxiv
DO - 10.64898/2026.10.26.761819
UR - https://www.biorxiv.org/content/10.64898/2026.10.26.761819v1
AB - Purpose. Trabecular meshwork (TM) dysfunction contributes to the elevated intraocular pressure in primary open-angle glaucoma. To better understand the molecular signature distinguishing glaucomatous from normal TM cells, we interrogated their genome-wide transcriptomic differences in a tissue-like soft extracellular matrix (ECM) microenvironment. Methods. Primary human glaucomatous and normal TM cell strains (N = 5 each) from three independent laboratories were plated on bioengineered collagen type I/hyaluronic acid/elastin-like polypeptide ECM hydrogels in 10% FBS media for 4-5 days, then serum-free media for 2 days. Cell-laden hydrogels were homogenized in TRIzol for RNA isolation, quality assessment, and library preparation, followed by paired-end 100-bp Illumina sequencing. Differential expression was assessed using DESeq2, including glaucoma status, originating laboratory, and donor age/sex in the model. Differentially expressed genes (DEGs) were defined as p < 0.05 and |fold change| [≥] 2, followed by Gene Ontology (GO) enrichment and QIAGEN Ingenuity Pathway Analysis (IPA). Results. In total, 588 DEGs distinguished the glaucomatous from the normal TM transcriptome (393 up-regulated in glaucomatous TM; 195 up-regulated in normal TM, i.e., down-regulated in glaucomatous TM). GO and IPA causal analyses revealed three coordinated disease programs: (i) TGF-{beta}/Wnt-driven ECM remodeling and fibrosis, (ii) NF-{kappa}B-associated inflammation, and (iii) a hypoxia/metabolic-stress program linked to p300/CREBBP chromatin co-activation. Conclusions. These data define a transcriptomic signature of glaucomatous TM cells when cultured in a soft physiologic ECM microenvironment, independent of the originating laboratory, with three mechanistic axes (ECM/fibrosis, inflammation, hypoxia/metabolism), and nominate p300 (encoded by EP300) as a candidate upstream node integrating these programs.
SN - 2692-8205
ER -