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Related Concept Videos

iPS Cell Differentiation01:22

iPS Cell Differentiation

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The ability of induced pluripotent stem cells or iPSCs to differentiate into most body cell types has stimulated repair and regenerative medicine research over the past few decades. iPSC-derived blood cells, hepatocytes, beta islet cells, cardiomyocytes, neurons, and other cell types can repair injuries or regenerate damaged tissue in diseases such as diabetes and neurodegenerative disorders.
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Related Experiment Video

Updated: Oct 8, 2025

Protocol for the Differentiation of Human Induced Pluripotent Stem Cells into Mixed Cultures of Neurons and Glia for Neurotoxicity Testing
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Transcriptome Dynamics of Human Neuronal Differentiation From iPSC.

Meltem Kuruş1, Soheil Akbari2, Doğa Eskier2,3

  • 1Department of Histology and Embryology, Faculty of Medicine, Izmir Katip Çelebi University, Izmir, Turkey.

Frontiers in Cell and Developmental Biology
|December 31, 2021
PubMed
Summary

Induced pluripotent stem cells (iPSCs) enable the generation of neuron cells for studying brain development and neurological diseases. This study analyzes the transcriptome, including long non-coding RNAs, during neuronal differentiation from iPSCs.

Keywords:
WGCNAcoexpressioniPSC-derived neuronal differentiationlncRNAstranscriptome profiling

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Area of Science:

  • Molecular Biology
  • Neuroscience
  • Stem Cell Biology

Background:

  • Induced pluripotent stem cells (iPSCs) are crucial for generating various adult cell types without embryonic stem cells.
  • iPSCs are utilized to create neuronal models for studying brain development and neurological disorders.
  • Long non-coding RNAs (lncRNAs) play significant roles in cellular phenotypes but are often overlooked in gene expression studies.

Purpose of the Study:

  • To comprehensively analyze the coding and non-coding transcriptome during iPSC-derived neuronal differentiation.
  • To identify novel lncRNAs and understand their characteristics at different differentiation stages.
  • To discover key genes and networks involved in human neurogenesis.

Main Methods:

  • RNA sequencing (RNA-seq) was employed to profile gene expression.
  • Genome-guided *de novo* transcriptome assembly was used to identify unannotated lncRNAs.
  • Coexpression network analysis was performed to identify key genes in neuronal differentiation.

Main Results:

  • Detailed characterization of the transcriptome across multiple stages of neuronal differentiation.
  • Identification of novel, previously unannotated lncRNAs.
  • Discovery of differentially expressed and stage-specific genes, including key regulators of neurogenesis.
  • Identification of novel candidate genes with potential critical roles in the human neuronal differentiation network.

Conclusions:

  • This study provides a valuable resource for understanding gene regulation during iPSC-derived neuronal differentiation.
  • The findings highlight the importance of lncRNAs in neurogenesis.
  • Novel candidate genes and regulatory networks involved in neurogenesis were identified, paving the way for future research.