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Related Experiment Video

Updated: May 13, 2026

MicroRNA Expression Profiles of Human iPS Cells, Retinal Pigment Epithelium Derived From iPS, and Fetal Retinal Pigment Epithelium
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Published on: June 24, 2014

Exon-level expression profiling of ocular tissues.

Alex H Wagner1, V Nikhil Anand, Wan-Heng Wang

  • 1Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA.

Experimental Eye Research
|March 19, 2013
PubMed
Summary
This summary is machine-generated.

This study profiles gene expression in ten human ocular tissues, creating a valuable resource for understanding eye diseases. The findings correlate known tissue-specific genes with expression data, aiding disease gene discovery.

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Area of Science:

  • Ophthalmology
  • Genomics
  • Molecular Biology

Background:

  • Understanding normal gene expression in ocular tissues is crucial for identifying genes implicated in eye diseases.
  • Previous research highlights the need for comprehensive gene expression atlases of the human eye.

Purpose of the Study:

  • To create a detailed gene expression profile of ten distinct human ocular tissues.
  • To establish a foundational dataset for future research into ocular disease mechanisms and gene identification.

Main Methods:

  • Gene expression profiling was performed on ten human ocular tissues (retina, optic nerve head, optic nerve, ciliary body, trabecular meshwork, sclera, lens, cornea, choroid/retinal pigment epithelium, iris) from donor eyes.
  • Affymetrix Human Exon 1.0 ST arrays were utilized for high-throughput gene expression analysis.
  • Expression data was validated against public Expressed Sequence Tag (EST) and RNA-sequencing resources.

Main Results:

  • Comprehensive gene expression data was generated for ten human ocular tissues.
  • Expression patterns of known tissue-specific genes corresponded accurately with the profiled ocular tissues.
  • Estimated gene and exon level abundances are publicly accessible via the Ocular Tissue Database.

Conclusions:

  • The generated ocular tissue gene expression profiles serve as a vital resource for eye disease research.
  • This dataset facilitates the identification of novel candidate genes involved in various ocular pathologies.
  • The Ocular Tissue Database provides a valuable platform for researchers investigating the genetic basis of eye conditions.