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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.2K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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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
Some signaling systems generate...
7.7K
Overview of Cell Signaling01:23

Overview of Cell Signaling

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Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
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Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

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Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
7.2K
Chromatin Modification in iPS Cells01:32

Chromatin Modification in iPS Cells

2.1K
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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相关实验视频

Updated: Jan 13, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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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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解码由动态细胞-细胞通信驱动的细胞状态转换在空间转录学中.

Lulu Yan1, Dongyan Zhang1, Xiaoqiang Sun2,3

  • 1School of Mathematics, Sun Yat-sen University, Guangzhou, China.

Nature computational science
|January 6, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了CCCvelo,这是一种新的方法,用于绘制由细胞间通信驱动的细胞命运过渡. 这种方法重建了时空动态,揭示了沟通如何协调发展和疾病.

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相关实验视频

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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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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

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An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 发育生物学 发展生物学

背景情况:

  • 细胞命运的确定依赖于复杂的细胞内和细胞间信号传递.
  • 空间转录学 (ST) 提供了对这些过程的见解,但通过细胞-细胞通信 (CCC) 驱动的细胞状态转换 (CST) 的建模具有挑战性.

研究的目的:

  • 引入CCCvelo,这是一个用于重建CCC驱动的CST动态的新型计算框架.
  • 整合细胞间信号梯度和细胞内转录因子级联以建模基因表达动态.

主要方法:

  • 开发了CCCvelo,一个统一的多尺度非线性运动模型.
  • 设计了PINN-CELL,这是一个基于物理的神经网络共进化的学习算法,用于参数优化和伪时空排序.
  • 将CCCvelo应用于来自小鼠皮质,胚胎发育和人类前列腺癌的高分辨率ST数据集.

主要成果:

  • CCCvelo成功地重建了已知的形态遗传轨迹.
  • 该方法揭示了在CST进展过程中动态CCC信号重新布线.
  • 证明了推断由CCC控制的细胞状态转换的时空动态的能力.

结论:

  • CCCvelo为了解CCC驱动的细胞命运决定提供了一个强大的工具.
  • 该框架推进了用于发展和疾病研究的空间转录组学数据的分析.
  • 强调了动态信号网络重新布线在编排细胞状态转换中的重要性.