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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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Chromatin Modification in iPS Cells01:32

Chromatin Modification in iPS Cells

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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.
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...
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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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Cells Coordinate Growth and Proliferation02:36

Cells Coordinate Growth and Proliferation

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Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...
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The Cell Cycle Control System01:28

The Cell Cycle Control System

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The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and...
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Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

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The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
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相关实验视频

Updated: May 13, 2025

A Two-Step Strategy that Combines Epigenetic Modification and Biomechanical Cues to Generate Mammalian Pluripotent Cells
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细胞可塑性的多步完成过程模型.

Chen M Chen1, Rosemary Yu1

  • 1Department of Molecular Developmental Biology, Radboud Institute for Molecular Life Sciences, Faculty of Science, Radboud University, Geert Grooteplein-Zuid 26-28, Nijmegen, 6525GA, The Netherlands.

Briefings in bioinformatics
|April 14, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的数学框架,以模拟细胞可塑性作为一个多步骤的过程. 该模型准确地预测了细胞可塑性期间的分子变化,并为生物医学干预提供了洞察力.

关键词:
细胞的可塑性 细胞的可塑性完成过程中的完成过程.数学建模的数学建模时间序列omics数据数据时间序列.

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Last Updated: May 13, 2025

A Two-Step Strategy that Combines Epigenetic Modification and Biomechanical Cues to Generate Mammalian Pluripotent Cells
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Evaluation of Injury-induced Senescence and In Vivo Reprogramming in the Skeletal Muscle
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Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
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科学领域:

  • 细胞生物学 细胞生物学
  • 系统生物学 系统生物学
  • 数学建模的数学建模

背景情况:

  • 细胞可塑性对生物过程至关重要,但缺乏预测性数学模型.
  • 了解细胞可塑性的分子行为对于生物研究至关重要.

研究的目的:

  • 开发一种用于模拟细胞可塑性的新数学框架.
  • 预测细胞可塑性计划期间的分子行为和结果.

主要方法:

  • 模拟细胞可塑性作为一个多步骤的完成过程与中间吸引器.
  • 利用omics时间序列数据作为数学框架的输入.
  • 对实验数据和领域知识进行验证的预测.

主要成果:

  • 该框架准确地适应了欧米克斯时间序列数据.
  • 确定了关键的吸引力状态,它们的时间和分子标记.
  • 实现了对可塑性计划结果的量化,时间解决的预测 (R2的0.53-0.63).

结论:

  • 开发的数学模型为研究细胞可塑性提供了强大的工具.
  • 该模型为患者衍生数据提供了定量洞察力和预测能力.
  • 这个框架可以指导未来的研究和潜在的生物医学干预,用于细胞可塑性相关的过程.