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Related Concept Videos

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. 
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Interactions Between Signaling Pathways01:19

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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.
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Signal Transduction: Overview01:26

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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.
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Overview of Cell Signaling01:23

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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.
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The Two-State Receptor Model01:29

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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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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.
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Cell-State-Specific Drug Responses are Associated With Differences in Signaling Network Wiring.

Niels Krämer1, Roderick van Eijl1, Tim Stohn2

  • 1Radboud Institute for Molecular Life Sciences, Faculty of Science, Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands.

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Summary
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Cellular responses to drug treatments depend on cell state. Signaling network interactions vary between cell states, influencing how drugs affect cells. Understanding this cell-state modulation is key for targeted therapies.

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Area of Science:

  • Cellular biology
  • Systems biology
  • Pharmacology

Background:

  • Intracellular signaling pathways transmit information via kinase-mediated phosphorylation.
  • Cellular heterogeneity in cell-state and signaling response exists even in isogenic cells.
  • Understanding cell-state dependent signaling is crucial for drug development.

Purpose of the Study:

  • Investigate information flow in the EGF-receptor network under drug treatment.
  • Determine how cell-to-cell state differences affect signaling pathways.
  • Elucidate the relationship between cell-state, drug response, and signaling network dynamics.

Main Methods:

  • Utilized single-cell ID-seq to profile cell-state and signaling activity.
  • Measured 69 (phospho-)proteins in primary human epidermal stem cells.
  • Inhibited Erk/MAPK (p90RSK) and Akt/mTOR (p70S6K) pathways downstream of EGF.
  • Employed single-cell Comparative Network Reconstruction for computational modeling.

Main Results:

  • Drug treatment effects propagated through the EGF-signaling network, altering signaling flow.
  • Identified nine distinct cell-states with state-dependent drug responses for multiple (phospho-)proteins.
  • Computational modeling revealed cell-state specific differences in signaling network interactions (network wiring).
  • (Phospho-)proteins with state-dependent drug responses were linked to state-dependent interaction strengths.

Conclusions:

  • Drug treatment responses are closely related to signaling interactions between proteins.
  • Cell-state significantly modulates both drug response and the strength of protein interactions.
  • These findings highlight the importance of considering cell-state heterogeneity in drug efficacy and signaling network analysis.