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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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Maintenance of the ES Cell State01:14

Maintenance of the ES Cell State

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The cells of the blastocyst inner cell mass only remain pluripotent for a short time. This state of pluripotency and self-renewal can be maintained in embryonic stem (ES) cell culture by adding specific chemicals or growth factors to ensure the cells can continue dividing and later differentiate into different cell types. In some cases, the cells are grown on a feeder layer of differentiated cells, which provides the growth factors and extracellular matrix components necessary for stem cell...
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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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Combinatorial Gene Control02:33

Combinatorial Gene Control

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Transcription Factors02:16

Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Transcription Factors02:16

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相关实验视频

Updated: Apr 28, 2026

A Simple Method to Identify Kinases That Regulate Embryonic Stem Cell Pluripotency by High-throughput Inhibitor Screening
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定义一个基本的转录因子程序为原始的多能性.

S-J Dunn1, G Martello2, B Yordanov1

  • 1Computational Science Laboratory, Microsoft Research, Cambridge, CB1 2FB, UK.

Science (New York, N.Y.)
|June 7, 2014
PubMed
概括
此摘要是机器生成的。

科学家们发现了一种简单的分子计算模型,解释了胚胎干细胞 (ES) 的自我更新和分化. 这种最小的基因调节网络简化了复杂的细胞行为,帮助未来的干细胞研究.

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Oct4GiP Reporter Assay to Study Genes that Regulate Mouse Embryonic Stem Cell Maintenance and Self-renewal
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Oct4GiP Reporter Assay to Study Genes that Regulate Mouse Embryonic Stem Cell Maintenance and Self-renewal
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科学领域:

  • * 发育生物学 发育生物学
  • * 计算生物学 * 计算生物学
  • * 系统生物学 系统生物学

背景情况:

  • *多能胚胎干细胞拥有复杂的基因调控网络,控制自我更新和分化.
  • * 精确的分子电路和控制这些细胞命运的执行程序仍然不完全理解.

研究的目的:

  • * 开发一个数据受限的计算方法来简化和理解ES细胞基因调节电路.
  • * 确定一组最小的组件和相互作用,足以解释ES细胞的行为.

主要方法:

  • *采用数据受限计算策略来建模基因调节网络.
  • * 减少网络复杂性,以识别基本组件和相互作用.
  • *根据已知的ES细胞自我更新规范验证了模型,并预测了对遗传干扰的反应.

主要成果:

  • * 获得了ES细胞行为最小基因调控网络模型,包括16个相互作用和12个组件.
  • * 该模型成功地解释了已确定的ES细胞自我更新特性.
  • *以70%的准确度预测了对遗传干扰的新奇和反直觉反应.

结论:

  • * ES细胞身份传播是由相对简单的分子计算控制的,而不是广泛的互动组.
  • *这种简化模型为理解和预测干细胞命运决定提供了一个强大的框架.