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Related Concept Videos

Somatic to iPS Cell Reprogramming01:29

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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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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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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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Updated: Jun 29, 2025

Application of RNAi and Heat-shock-induced Transcription Factor Expression to Reprogram Germ Cells to Neurons in C. elegans
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AI in cellular engineering and reprogramming.

Sara Capponi1, Shangying Wang2

  • 1IBM Almaden Research Center, San Jose, California; Center for Cellular Construction, San Francisco, California.

Biophysical Journal
|April 5, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing biophysics by analyzing complex biological data for cellular engineering and reprogramming. AI enables precise control over cell identity and function, advancing fields like regenerative medicine.

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Area of Science:

  • Biophysics
  • Cellular Engineering
  • Computational Biology

Background:

  • Artificial intelligence (AI) is increasingly utilized in biophysics for cellular engineering and reprogramming.
  • AI excels at analyzing complex datasets from genomics and multiomics to understand cell identity and function.
  • Predictive models generated by AI offer novel approaches to manipulate cellular processes.

Purpose of the Study:

  • To review current AI applications in biophysics, focusing on cellular engineering and reprogramming.
  • To showcase recent examples combining machine learning with experimental and computational methods.
  • To discuss challenges and future prospects of AI in cell engineering.

Main Methods:

  • Review of existing literature on AI in biophysics.
  • Integration of AI with single-cell genomics and multiomic data analysis.
  • Combination of machine learning with experimental and computational techniques.

Main Results:

  • AI facilitates mechanistic insights into cell identity control and reprogramming pathways.
  • AI aids in designing precision engineering strategies for cell fate manipulation.
  • AI accelerates the understanding of gene, protein, and cellular process relationships.

Conclusions:

  • AI holds significant potential to revolutionize cellular engineering and reprogramming.
  • AI applications can drive advancements in disease modeling, drug discovery, and regenerative medicine.
  • The synergy of AI with experimental and computational methods is key to future breakthroughs.