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Expression Profiling of Human Schlemm's Canal Endothelial Cells From Eyes With and Without Glaucoma.

Publication ,  Journal Article
Cai, J; Perkumas, KM; Qin, X; Hauser, MA; Stamer, WD; Liu, Y
Published in: Invest Ophthalmol Vis Sci
October 2015

PURPOSE: Ocular hypertension is a major risk factor for glaucoma and the inner wall of Schlemm's canal (SC) endothelia participates in the regulation of aqueous humor outflow resistance. This study aimed to identify differentially expressed genes in primary cultures of SC cells from glaucoma patients. METHODS: This study examined SC samples from three glaucoma cases and four controls. Schlemm's canal cells were isolated from eight different postmortem human eyes. Total RNA was extracted, labeled, and hybridized to Illumina HumanWG-6 BeadChips containing probes for approximately 47,000 human transcripts. After extracting the data using Illumina GenomeStudio software, the data were normalized and analyzed using the R package limma in Bioconductor. Using Protein ANalysis THrough Evolutionary Relationships (PANTHER) software, gene ontology analysis of highly expressed genes was executed in controls and glaucoma groups separately. Pathway analysis was performed with differentially expressed genes using WebGestalt (WEB-based GEne SeT AnaLysis Toolkit). Selected genes were validated using droplet digital PCR (ddPCR). RESULTS: Gene ontology analysis indicated similar functional categories in cases and controls. Differential analysis identified a total of 113 genes with at least 2-fold expression changes in cases. Pathway analysis indicated significant enrichment of genes in cell adhesion, heparin binding, glycosaminoglycan binding, filopodium, and extracellular matrix remodeling. Eighteen selected genes with differential expression were successfully validated using ddPCR. CONCLUSIONS: This study represents the first genome-wide expression study of human primary SC cells from glaucoma patients and provides a potential list of targets regulating SC cell stiffness and pore formation, eventually the outflow resistance in glaucoma individuals.

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Published In

Invest Ophthalmol Vis Sci

DOI

EISSN

1552-5783

Publication Date

October 2015

Volume

56

Issue

11

Start / End Page

6747 / 6753

Location

United States

Related Subject Headings

  • Trabecular Meshwork
  • Ophthalmology & Optometry
  • Middle Aged
  • Male
  • Humans
  • Glaucoma
  • Genome-Wide Association Study
  • Gene Ontology
  • Gene Expression Profiling
  • Female
 

Citation

APA
Chicago
ICMJE
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Cai, J., Perkumas, K. M., Qin, X., Hauser, M. A., Stamer, W. D., & Liu, Y. (2015). Expression Profiling of Human Schlemm's Canal Endothelial Cells From Eyes With and Without Glaucoma. Invest Ophthalmol Vis Sci, 56(11), 6747–6753. https://doi.org/10.1167/iovs.15-17720
Cai, Jingwen, Kristin M. Perkumas, Xuejun Qin, Michael A. Hauser, W Daniel Stamer, and Yutao Liu. “Expression Profiling of Human Schlemm's Canal Endothelial Cells From Eyes With and Without Glaucoma.Invest Ophthalmol Vis Sci 56, no. 11 (October 2015): 6747–53. https://doi.org/10.1167/iovs.15-17720.
Cai J, Perkumas KM, Qin X, Hauser MA, Stamer WD, Liu Y. Expression Profiling of Human Schlemm's Canal Endothelial Cells From Eyes With and Without Glaucoma. Invest Ophthalmol Vis Sci. 2015 Oct;56(11):6747–53.
Cai, Jingwen, et al. “Expression Profiling of Human Schlemm's Canal Endothelial Cells From Eyes With and Without Glaucoma.Invest Ophthalmol Vis Sci, vol. 56, no. 11, Oct. 2015, pp. 6747–53. Pubmed, doi:10.1167/iovs.15-17720.
Cai J, Perkumas KM, Qin X, Hauser MA, Stamer WD, Liu Y. Expression Profiling of Human Schlemm's Canal Endothelial Cells From Eyes With and Without Glaucoma. Invest Ophthalmol Vis Sci. 2015 Oct;56(11):6747–6753.

Published In

Invest Ophthalmol Vis Sci

DOI

EISSN

1552-5783

Publication Date

October 2015

Volume

56

Issue

11

Start / End Page

6747 / 6753

Location

United States

Related Subject Headings

  • Trabecular Meshwork
  • Ophthalmology & Optometry
  • Middle Aged
  • Male
  • Humans
  • Glaucoma
  • Genome-Wide Association Study
  • Gene Ontology
  • Gene Expression Profiling
  • Female