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Related Experiment Videos

Coding efficiency and information rates in transmembrane signaling.

K Prank1, F Gabbiani, G Brabant

  • 1Computational Endocrinology Group, Department of Clinical Endocrinology, Medical School Hanover, Carl-Neuberg Str. 1, 30625, Hanover, Germany.

Bio Systems
|April 4, 2000
PubMed
Summary
This summary is machine-generated.

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Cellular calcium spikes encode hormonal signals with high fidelity. This information transfer mechanism, observed in hepatocytes, mirrors principles found in neuronal systems, suggesting a universal biological coding strategy.

Area of Science:

  • Biophysics
  • Cellular Signaling
  • Computational Biology

Background:

  • Cellular responses to hormonal stimuli often involve dynamic changes in intracellular calcium concentration ([Ca(2+)]i).
  • These calcium oscillations, or [Ca(2+)]i-spike trains, are known to encode cellular information through variations in frequency, amplitude, and duration.
  • Understanding how cells process and transmit this information is crucial for deciphering complex biological functions.

Purpose of the Study:

  • To investigate the encoding of fluctuating hormonal signals within [Ca(2+)]i-spike trains in hepatocytes.
  • To quantify the transmembrane information transfer using a mathematical model.
  • To compare information processing principles across different biological systems.

Main Methods:

  • Development and application of a mathematical model for receptor-controlled [Ca(2+)]i oscillations in hepatocytes.

Related Experiment Videos

  • Utilizing an information-theoretic reverse-engineering approach to reconstruct hormonal stimuli from [Ca(2+)]i-spike trains.
  • Quantifying coding accuracy and transmembrane information transfer rates.

    • Main Results:

    • The study found that up to 87% of dynamic stimulus information can be encoded in the [Ca(2+)]i-spike train.
    • A maximum information transfer rate of 1.1 bit per [Ca(2+)]i-spike was determined.
    • The efficiency of humoral information transfer was comparable to that of sensory neuronal systems, despite differing time scales.

    Conclusions:

    • Hepatocyte [Ca(2+)]i-spike trains effectively encode complex hormonal signals.
    • Information processing in cellular signaling shares fundamental principles with neuronal information processing.
    • This suggests a potentially universal mechanism for transmembrane information transfer in biological systems.