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Related Concept Videos

Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012 for this...
Methods of Nuclear Reprogramming01:24

Methods of Nuclear Reprogramming

Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for injury repair.
Forced Transdifferentiation01:28

Forced Transdifferentiation

Transdifferentiation, also known as lineage reprogramming, was first discovered by Selman and Kafatos in 1974 in silkmoths. They observed that the moths’ cuticle-producing cells transformed into salt-producing cells. Many such cases of natural transdifferentiation occur in organisms. In humans, pancreatic alpha cells can become beta cells. In newts, the loss of the eye’s lens causes the pigmented epithelial cells to transdifferentiate into the lens cells.
Artificial transdifferentiation occurs...

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Related Experiment Video

Updated: Jul 13, 2026

Transforming Static Barrier Tissue Models into Dynamic Microphysiological Systems
06:20

Transforming Static Barrier Tissue Models into Dynamic Microphysiological Systems

Published on: February 16, 2024

Translational cell fate reprogramming and regenerative medicine enabled by microphysiological systems.

Hrithiha Sriramulu1, Hyunsung Woo1, Anavi Kaul1

  • 1Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.

Current Opinion in Genetics & Development
|July 11, 2026
PubMed
Summary

Advanced organoid and organs-on-chips systems improve regenerative medicine by modeling human physiology for cell fate control and gene therapy evaluation. These microphysiological systems enhance tissue repair and regeneration studies.

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Area of Science:

  • Regenerative Medicine
  • Biotechnology
  • Stem Cell Biology

Background:

  • Genetic engineering and in vivo reprogramming offer new ways to control cell fate for tissue repair.
  • Traditional animal and in vitro models often fail to predict human responses to genetic manipulation.
  • Microphysiological systems like organoids and organs-on-chips (OoCs) better mimic human physiology.

Purpose of the Study:

  • To review how organoids and OoC platforms are used to study and enhance cell fate reprogramming, repair, and regeneration.
  • To highlight how these systems inform gene and cell therapy development.
  • To discuss limitations and future directions for regenerative medicine.

Main Methods:

  • Utilizing three-dimensional organoids derived from various human cell sources.
  • Employing organs-on-chips (OoCs) platforms with controlled microenvironments.
  • Analyzing studies that integrate these systems with genetic and cell-based therapies.

Main Results:

  • Organoids preserve patient-specific genetics for disease and therapy studies.
  • OoCs provide regulated perfusion, vascularization, and mechanical forces for tissue maturation.
  • These platforms facilitate mechanistic studies and evaluation of gene/cell therapies in a human-relevant context.

Conclusions:

  • Organoids and OoCs are crucial for advancing regenerative medicine and personalized therapies.
  • Overcoming limitations in scalability, standardization, and biomaterials is key for clinical translation.
  • Integrating these technologies promises more predictive and effective regenerative strategies.