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相关概念视频

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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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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Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
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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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Forced Transdifferentiation01:28

Forced Transdifferentiation

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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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相关实验视频

Updated: Jan 13, 2026

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
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细胞极星:转移学习用于基因调控网络的建设,以指导细胞状态过渡.

Guihai Feng1,2,3, Xin Qin4,5, Jiahao Zhang5,6

  • 1State Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 7, 2026
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概括

细胞极星通过识别对细胞命运至关重要的转录主因子 (TFs) 来解码基因调控网络 (GRNs). 这种计算框架有助于理解发育过程和模拟TF扰动.

关键词:
细胞的命运 细胞的命运基因监管网络 基因监管网络扰动模拟的模拟.转移学习学习转移学习

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科学领域:

  • 计算生物学是一种计算生物学.
  • 发育生物学是发展生物学.
  • 系统生物学 系统生物学

背景情况:

  • 基因调控网络 (GRNs) 通过精确的时间空间基因表达来控制细胞命运的决定.
  • 准确地捕捉特定环境的基因调节,特别是使用多omics数据,仍然是一个挑战.

研究的目的:

  • 介绍CellPolaris,一个统一的计算框架来解码转录因子 (TF) 在开发中的角色.
  • 为了实现以TF为中心的GRN构建,主TF识别和TF扰动模拟.

主要方法:

  • CellPolaris利用转移学习,从先前存在的高可信度GRNs中构建组织或细胞类型特定的GRNs.
  • 该框架只需要转录组数据用于GRN生成.
  • 它识别主TF驱动细胞命运过渡,并模拟TF扰动效应.

主要成果:

  • 在GRN建设中,CellPolaris表现出强的性能.
  • 预测的主调节器与用于细胞命运转换的实验验证TF组合有显著的重叠.
  • 该框架准确地模拟了精子分化过程中的Rfx2淘汰效应.

结论:

  • 塞尔Polaris为GRN构建,主TF识别和扰动模拟提供了一个全面的框架.
  • 该工具增强了对发育过程和细胞状态转变中的调节机制的阐明.