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Cells integrate multiple signals through various interaction modes. This study maps these complex cellular responses, revealing context-dependent usage in innate immune cells for adaptation to diverse stimuli.

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Area of Science:

  • Cellular biology
  • Systems biology
  • Immunology

Background:

  • Cells adapt to environmental cues by integrating multiple signals.
  • Current understanding often homogenizes synergistic or antagonistic signal interactions.
  • A comprehensive framework for classifying these interactions is needed.

Purpose of the Study:

  • To theoretically enumerate and classify all possible interaction profiles of cellular responses to pairs of signals.
  • To experimentally validate these interaction modes in living cells using transcriptomics data.
  • To investigate the functional role of different interaction modes in cellular adaptation.

Main Methods:

  • Systematic theoretical approach using combinatorial analysis to define interaction profiles.
  • Mathematical and biological grouping of 82 possible profiles into 10 interaction modes (5 positive, 5 negative).
  • Application of a computational workflow to transcriptomics data from innate immune cells exposed to signal combinations.

Main Results:

  • Identified 82 distinct interaction profiles, categorized into 10 interaction modes.
  • Experimental validation showed up to 9 of 10 modes coexisting in innate immune cells.
  • Interaction modes were found to be context-dependent and preferentially associated with specific biological pathways.

Conclusions:

  • Defined an exhaustive map of cellular interaction modes for integrating pairs of stimuli.
  • Demonstrated the coexistence and context-dependent usage of multiple interaction modes in innate immunity.
  • Suggested that distinct interaction modes play functional roles in cellular adaptation to complex environments.