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Related Concept Videos

Introduction to Nuclear Reprogramming01:14

Introduction to Nuclear Reprogramming

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Nuclear reprogramming is the process of switching gene expression of one cell type to that of another cell type, usually from a differentiated cell state to an undifferentiated cell state. Differentiation occurs during processes such as development and morphogenesis, tissue regeneration, and malignancy. Cells can also be artificially induced to reprogram their gene expression by techniques such as nuclear transfer, induced pluripotency, and cell fusion. Such techniques have many applications in...
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Methods of Nuclear Reprogramming01:24

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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...
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Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

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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...
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Chromatin Modification in iPS Cells01:32

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Chromatin modification alters gene expression; therefore, scientists can add histone-modifying enzymes, histone variants, and chromatin remodeling complexes to somatic cells to aid reprogramming into pluripotent stem (iPS) cells.
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Forced Transdifferentiation01:28

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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.
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Updated: Jan 14, 2026

Hemogenic Reprogramming of Human Fibroblasts by Enforced Expression of Transcription Factors
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Redefining cellular reprogramming with advanced genomic technologies.

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  • 1Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. samorris2@bwh.harvard.edu.

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This summary is machine-generated.

Cell reprogramming shows promise for medicine, but challenges like immaturity and low fidelity persist. New genomic and computational tools are revealing how to improve engineered cells for disease modeling and therapy.

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Area of Science:

  • Cellular reprogramming and regenerative medicine
  • Genomic technologies and computational biology

Background:

  • Transcription factor-mediated reprogramming (induced pluripotency, directed differentiation) offers potential for disease modeling and regenerative medicine.
  • Current reprogramming methods often yield cells with incomplete molecular and functional characteristics, exhibiting immaturity, low fidelity, and heterogeneity.
  • These limitations hinder the reliability of engineered cells for disease modeling and therapeutic applications.

Purpose of the Study:

  • To explore how recent advances in single-cell genomics and computational frameworks can elucidate mechanisms of reprogramming inefficiency.
  • To identify tractable failure points in cell reprogramming processes.
  • To guide the design of next-generation reprogramming strategies for improved cell fidelity, maturity, and purity.

Main Methods:

  • Utilizing single-cell genomic technologies to analyze cellular heterogeneity and molecular profiles.
  • Applying integrative computational frameworks to analyze complex genomic data.
  • Employing emerging molecular recording tools to understand reprogramming dynamics.

Main Results:

  • Recent technological advances are beginning to reveal the underlying mechanisms of incomplete or inefficient reprogramming.
  • Specific failure points in reprogramming protocols have been identified.
  • These insights facilitate a deeper understanding of cellular identity manipulation.

Conclusions:

  • Advanced genomic and computational tools are crucial for understanding and overcoming reprogramming limitations.
  • Mechanism-guided protocol design can lead to stepwise improvements in cell fidelity, maturity, and purity.
  • Optimized reprogramming strategies hold the potential to advance engineered cells toward clinical relevance.