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Related Concept Videos

Contact-dependent Signaling01:19

Contact-dependent Signaling

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Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
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The transcription factor NF-κB was discovered in 1986 in the lab of Nobel laureate Professor David Baltimore, for its interaction with the immunoglobulin light chain enhancer in B-cells. After more than three decades of study, it is now evident that NF-κB regulates the expression of over 100 genes. Most of these genes play an essential role in the innate and adaptive immune responses as well as the inflammatory responses of animals.
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Chronopharmacokinetics studies the temporal change in drug absorption and elimination. These changes can be cyclical or non-cyclical. Cyclical changes occur over a regular interval, while non-cyclical changes occur over a longer, irregular period.
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Related Experiment Video

Updated: Jan 20, 2026

Single-cell Microinjection for Cell Communication Analysis
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Single-cell Microinjection for Cell Communication Analysis

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Modeling Cell Communication with Time-Dependent Signaling Hypergraphs.

Michael R Schwob, Justin Zhan, Aeren Dempsey

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |August 27, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Signaling pathways, crucial for cell functions, are better modeled using time-dependent hypergraphs. This approach improves the representation of complex cellular processes and reactions over time.

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    Area of Science:

    • Cellular Biology
    • Computational Biology
    • Systems Biology

    Background:

    • Signaling pathways regulate essential cell functions like division and death.
    • Current graph models inadequately represent complex cellular reactions.
    • Directed hypergraphs offer improved modeling of molecular interactions.

    Purpose of the Study:

    • To highlight the significance of time dependency in modeling cell signaling pathways.
    • To introduce an improved method for representing signaling pathways.

    Main Methods:

    • Utilized directed hypergraphs to model cellular reactions.
    • Developed and adopted an algorithm for finding shortest time-dependent hyperpaths.
    • Applied the algorithm to model signaling pathways with temporal considerations.

    Main Results:

    • Time-dependent hypergraphs provide a more accurate representation of signaling pathways.
    • The shortest time-dependent hyperpaths offer enhanced modeling capabilities.
    • Demonstrated improved representation of cell signaling dynamics.

    Conclusions:

    • Incorporating time dependency into hypergraph models significantly enhances signaling pathway representation.
    • Time-dependent signaling hypergraphs are crucial for robustly modeling cellular functions.
    • Advocates for the adoption of time-dependent signaling hypergraphs in biological research.