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相关概念视频

Forced Transdifferentiation01:28

Forced Transdifferentiation

2.3K
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...
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Combinatorial Gene Control02:33

Combinatorial Gene Control

9.4K
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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Cellular Differentiation00:57

Cellular Differentiation

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How does a complex organism such as a human develop from a single cell? It all starts from a single fertilized egg which gives rise to a vast array of cell types, such as nerve cells, muscle cells, and epithelial cells that characterize the adult? Throughout development and adulthood, cellular differentiation leads cells to assume their final morphology and physiology. Differentiation is the process by which unspecialized cells become specialized to carry out distinct functions.
A zygote is a...
4.9K
Master Transcription Regulators02:23

Master Transcription Regulators

7.6K
Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
7.6K
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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Transcription01:17

Transcription

32.3K
Transcription is the synthesis of RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in correctly synthesizing messenger RNA (mRNA). Transcriptional regulation is responsible for the differentiation of different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds of RNA Molecules
In eukaryotes,...
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相关实验视频

Updated: Jan 6, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

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从转录组中推断布尔网络的数据驱动推断,以预测细胞分化和重编程.

Stéphanie Chevalier1,2, Julia Becker3, Yujuan Gui3

  • 1Translational Medicine, Servier, Suresnes, France.

NPJ systems biology and applications
|September 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的方法,可以从基因表达数据中构建布尔网络,有助于理解细胞分化和预测重编程目标.

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
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科学领域:

  • 计算生物学 计算生物学
  • 系统生物学 系统生物学
  • 基因组学就是基因组学.

背景情况:

  • 布尔网络对于模拟细胞动态是有价值的,但它们的构造是复杂的.
  • 整合先前的知识和转录组数据对于准确的建模至关重要.

研究的目的:

  • 开发一种用于自动生成布尔网络集的通用方法.
  • 整合转录组数据和基因调控网络知识,以提供强大的模型.
  • 识别候选模型和预测细胞重编程目标.

主要方法:

  • 使用BoNesis软件进行自动布尔网络构建.
  • 将转录组数据转化为模型生成的定性规范.
  • 采用集体建模来预测强大的重编程因素.

主要成果:

  • 证明了该方法的可扩展性和多功能性与血液形成和树皮细胞分化模型.
  • 确定了强大的重编程因子组合用于转差异化.
  • 对重编程策略进行了in silico评估和初步实验验证.

结论:

  • 提出的方法允许从各种生物数据中自动构建布尔网络.
  • 整体建模增强了对强大的细胞重编程目标的预测.
  • 这种方法为理解和操纵细胞命运决策提供了一个强大的工具.