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相关概念视频

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...
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Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
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Signal Transduction: Overview01:26

Signal Transduction: Overview

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Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
Typically, signal transduction involves three...
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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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The Two-State Receptor Model01:29

The Two-State Receptor Model

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The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
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Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
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相关实验视频

Updated: Feb 20, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
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细胞状态特定的药物反应与信号网络布线的差异有关.

Niels Krämer1, Roderick van Eijl2, Tim Stohn3

  • 1Radboud Institute for Molecular Life Sciences, Faculty of Science, Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands; Karolinska Institutet, Department of Cell and Molecular Biology, Stockholm, Sweden.

Molecular & cellular proteomics : MCP
|February 18, 2026
PubMed
概括

细胞对药物治疗的反应取决于细胞的状态. 信号网络相互作用在细胞状态之间有所不同,影响药物如何影响细胞. 了解这种细胞状态调节是针对性治疗的关键.

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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
  • 药理学 药理学是指药理学的学科.

背景情况:

  • 细胞内信号通路通过酶介导酸化传输信息.
  • 细胞状态和信号响应中的细胞异质性甚至存在于同质细胞中.
  • 了解细胞状态依赖的信号传导对于药物开发至关重要.

研究的目的:

  • 在药物治疗过程中调查EGF受体网络中的信息流.
  • 确定细胞对细胞状态差异如何影响信号通路.
  • 阐明细胞状态,药物反应和信号网络动态之间的关系.

主要方法:

  • 使用单细胞ID-seq来分析细胞状态和信号活动.
  • 在初级人类表皮干细胞中测量了69 () 蛋白.
  • 抑制了EGF下游的Erk/MAPK (p90RSK) 和Akt/mTOR (p70S6K) 途径.
  • 用于计算建模的使用单细胞比较网络重建.

主要成果:

  • 药物治疗的影响通过EGF信号网络传播,改变信号流.
  • 确定了九种不同的细胞状态,对多种 (基) 蛋白质的药物反应依赖于状态.
  • 计算建模揭示了信号网络相互作用 (网络布线) 中的细胞状态特定差异.
  • 具有状态依赖药物反应的 (基) 蛋白与状态依赖相互作用强度有关.

结论:

  • 药物治疗反应与蛋白质之间的信号相互作用密切相关.
  • 细胞状态显著调节药物反应和蛋白质相互作用的强度.
  • 这些发现强调了在药物疗效和信号网络分析中考虑细胞状态异质性的重要性.