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Related Experiment Video

Updated: Jun 23, 2025

Generation of Retinal Organoids from Healthy and Retinal Disease-Specific Human-Induced Pluripotent Stem Cells
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RNA Isolation from Human Stem Cell-Derived Retinal Organoids.

Casey J Keuthan1, Donald J Zack2

  • 1Department of Ophthalmology | Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA. ckeutha1@jh.edu.

Methods in Molecular Biology (Clifton, N.J.)
|June 22, 2024
PubMed
Summary

This study presents a reliable method for isolating high-quality RNA from human stem cell-derived retinal organoids. This technique ensures sufficient RNA quantity and quality for advanced transcriptomic analyses.

Keywords:
OrganoidsRNARetinaStem cellsTranscriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Stem Cell Biology

Background:

  • RNA isolation is critical for molecular analyses like RNA-sequencing.
  • Obtaining high-quality RNA from limited samples (e.g., small tissues, few cells) is challenging.
  • Human stem cell-derived retinal organoids are valuable models but require specialized RNA extraction methods.

Purpose of the Study:

  • To develop and present a robust total RNA isolation protocol.
  • To ensure high yield and quality of RNA from human stem cell-derived retinal organoids.
  • To enable downstream transcriptomic analyses using these organoids.

Main Methods:

  • A specific total RNA isolation method was optimized and applied.
  • The protocol was tested on human stem cell-derived retinal organoids.
  • RNA quantity and quality were assessed for downstream applications.

Main Results:

  • The developed method reproducibly yields high-quality total RNA.
  • Sufficient RNA quantity was obtained from the organoid samples.
  • The isolated RNA is suitable for transcriptomic analysis.

Conclusions:

  • The presented RNA isolation method is effective for human stem cell-derived retinal organoids.
  • This protocol facilitates detailed transcriptomic studies in retinal organoid models.
  • The method addresses the challenge of RNA extraction from limited biological samples.