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相关概念视频

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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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

Methods of Nuclear Reprogramming

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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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相关实验视频

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

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在细胞工程和重编程中的AI.

Sara Capponi1, Shangying Wang2

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

Biophysical journal
|April 5, 2024
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 正在通过分析复杂的生物数据进行细胞工程和重编程来彻底改变生物物理学. 人工智能可以精确控制细胞的身份和功能,进步再生医学等领域.

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相关实验视频

Last 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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Silicon Microchips for Manipulating Cell-cell Interaction
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Rapid Development of Cell State Identification Circuits with Poly-Transfection
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科学领域:

  • 生物物理学的生物物理.
  • 细胞工程 细胞工程
  • 计算生物学 计算生物学

背景情况:

  • 人工智能 (AI) 在生物物理学中越来越多地用于细胞工程和重编程.
  • 人工智能擅长分析复杂的基因组学和多基因组学数据集,以了解细胞的身份和功能.
  • 由人工智能生成的预测模型为操纵细胞过程提供了新的方法.

研究的目的:

  • 审查当前在生物物理学中的AI应用,重点是细胞工程和重编程.
  • 展示最近的例子,将机器学习与实验和计算方法相结合.
  • 讨论AI在细胞工程中的挑战和未来前景.

主要方法:

  • 对生物物理中人工智能现有文献的审查.
  • 整合人工智能与单细胞基因组学和多原子数据分析.
  • 机器学习与实验和计算技术的结合.

主要成果:

  • 人工智能有助于对细胞身份控制和重编程途径的机械洞察.
  • 人工智能有助于设计精确的工程策略来操纵细胞命运.
  • 人工智能加速了对基因,蛋白质和细胞过程关系的理解.

结论:

  • 人工智能具有重大潜力,可以彻底改变细胞工程和重编程.
  • 人工智能应用可以推动疾病建模,药物发现和再生医学的进步.
  • 人工智能与实验和计算方法的协同作用是未来突破的关键.