Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Nuclear Reprogramming01:24

Methods of Nuclear Reprogramming

2.2K
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...
2.2K
Introduction to Nuclear Reprogramming01:14

Introduction to Nuclear Reprogramming

2.4K
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...
2.4K
Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

2.8K
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...
2.8K
Induced Pluripotent Stem Cells01:13

Induced Pluripotent Stem Cells

28.6K
Stem cells are undifferentiated cells that divide and produce different types of cells. Ordinarily, cells that have differentiated into a specific cell type are post-mitotic—that is, they no longer divide. However, scientists have found a way to reprogram these mature cells so that they “de-differentiate” and return to an unspecialized, proliferative state. These cells are also pluripotent like embryonic stem cells—able to produce all cell types—and are therefore...
28.6K
Forced Transdifferentiation01:28

Forced Transdifferentiation

2.5K
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...
2.5K
Chromatin Modification in iPS Cells01:32

Chromatin Modification in iPS Cells

2.3K
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.
Compact chromatin makes reprogramming difficult. Enzymes, such as histone demethylases and acetyltransferases, are often added during reprogramming to loosen the chromatin, making the DNA more accessible to transcription factors. Molecules that inhibit histone...
2.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mycobacterium tuberculosis IDH-PPARγ interaction suppresses GPX4 to drive macrophage ferroptosis and sustain persistent infection.

Nature communications·2026
Same author

Single-nucleus analysis reveals human-specific oligodendrocyte polarization and conserved neuronal responses after severe traumatic brain injury.

Nature communications·2026
Same author

Gut microbiota-induced perturbation in bile acids alter keratinocyte lipid metabolism via FXR-NQO1 signaling in psoriasis.

Nature communications·2026
Same author

Bacterial reporter-paired scRNA sequencing reveals cross talk between zinc starvation and zinc toxicity in macrophage antibacterial defense.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

The myeloid SRC family kinase HCK regulates breast cancer growth by activating tumor-associated macrophage-led invasion and inhibiting cytotoxic T cell activity.

Frontiers in immunology·2026
Same author

Flt3L-mediated tumor cDC1 expansion enhances immunotherapy by priming stem-like CD8<sup>+</sup> T cells in lymph nodes.

Nature immunology·2026
Same journal

Mutational scanning reveals substrate-assisted autoregulation of the WNT destruction complex.

Nature genetics·2026
Same journal

Spatial transcriptomic analyses highlight distinct erythroid niches in mice and humans.

Nature genetics·2026
Same journal

Building up pangenome analysis block by block.

Nature genetics·2026
Same journal

Mutations in splicing factor gene U2AF1 rescue defective oncogene splicing in KRAS-mutant cancers.

Nature genetics·2026
Same journal

Assessing the effect of immune surveillance on clonal expansions in the blood.

Nature genetics·2026
Same journal

Improved heritability partitioning and enrichment analyses using summary statistics with graphREML.

Nature genetics·2026
See all related articles

Related Experiment Video

Updated: Mar 27, 2026

In vitro Modeling for Neurological Diseases using Direct Conversion from Fibroblasts to Neuronal Progenitor Cells and Differentiation into Astrocytes
11:42

In vitro Modeling for Neurological Diseases using Direct Conversion from Fibroblasts to Neuronal Progenitor Cells and Differentiation into Astrocytes

Published on: June 10, 2021

5.6K

A predictive computational framework for direct reprogramming between human cell types.

Owen J L Rackham1,2, Jaber Firas3,4,5, Hai Fang1

  • 1Department of Computer Science, University of Bristol, Bristol, UK.

Nature Genetics
|January 19, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces Mogrify, a system predicting cell reprogramming factors for regenerative medicine. Mogrify efficiently identifies key transcription factors, enabling new cell conversions and advancing regenerative therapies.

More Related Videos

Derivation of Adult Human Fibroblasts and their Direct Conversion into Expandable Neural Progenitor Cells
13:58

Derivation of Adult Human Fibroblasts and their Direct Conversion into Expandable Neural Progenitor Cells

Published on: July 29, 2015

16.2K
Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts
09:29

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts

Published on: March 22, 2017

7.9K

Related Experiment Videos

Last Updated: Mar 27, 2026

In vitro Modeling for Neurological Diseases using Direct Conversion from Fibroblasts to Neuronal Progenitor Cells and Differentiation into Astrocytes
11:42

In vitro Modeling for Neurological Diseases using Direct Conversion from Fibroblasts to Neuronal Progenitor Cells and Differentiation into Astrocytes

Published on: June 10, 2021

5.6K
Derivation of Adult Human Fibroblasts and their Direct Conversion into Expandable Neural Progenitor Cells
13:58

Derivation of Adult Human Fibroblasts and their Direct Conversion into Expandable Neural Progenitor Cells

Published on: July 29, 2015

16.2K
Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts
09:29

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts

Published on: March 22, 2017

7.9K

Area of Science:

  • Cell biology
  • Regenerative medicine
  • Bioinformatics

Background:

  • Transdifferentiation offers regenerative medicine potential but identifying reprogramming factors is costly and inefficient.
  • Current methods for finding key transcription factors are unscalable and limit progress in cell conversion.

Purpose of the Study:

  • To develop a predictive system, Mogrify, for identifying necessary reprogramming factors for cell transdifferentiation.
  • To create a comprehensive atlas of cellular reprogramming for human cells and tissues.

Main Methods:

  • Mogrify integrates gene expression data with regulatory network information.
  • The system was applied to 173 human cell types and 134 tissues.
  • Predictions were validated through experimental testing of known and novel transdifferentiations.

Main Results:

  • Mogrify accurately predicted transcription factors for known transdifferentiations.
  • Two novel transdifferentiations predicted by Mogrify were successfully validated.
  • An atlas of cellular reprogramming for 173 human cell types and 134 tissues was generated.

Conclusions:

  • Mogrify provides a practical and efficient method for predicting cell conversion factors.
  • This system facilitates the systematic implementation of novel cell conversions, advancing regenerative medicine.
  • The developed atlas and predictive tool accelerate the field of human cell reprogramming.