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Common effector processing mediates cell-specific responses to stimuli

Author

Listed:
  • Kathryn Miller-Jensen

    (Center for Cell Decision Processes, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA)

  • Kevin A. Janes

    (Center for Cell Decision Processes, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Harvard Medical School, Boston, Massachusetts 02115, USA)

  • Joan S. Brugge

    (Harvard Medical School, Boston, Massachusetts 02115, USA)

  • Douglas A. Lauffenburger

    (Center for Cell Decision Processes, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA)

Abstract

Mixed signals The fundamental components of many signalling pathways are common to most cells in an organism. So why do different cell types respond differently to the same stimulus? A novel systems-modelling approach to this question, focusing on two distinct epithelial cell lines, reveals that cell specificity is mainly determined by the type, strength and combination of upstream signalling events. These cell-type specific signals are integrated by common effectors to create cell-type specific outcomes. Resolving the enigma of cell specificity is important to understanding embryonic development, organismal homeostasis and the side effects of targeted therapeutics.

Suggested Citation

  • Kathryn Miller-Jensen & Kevin A. Janes & Joan S. Brugge & Douglas A. Lauffenburger, 2007. "Common effector processing mediates cell-specific responses to stimuli," Nature, Nature, vol. 448(7153), pages 604-608, August.
    • Handle: RePEc:nat:nature:v:448:y:2007:i:7153:d:10.1038_nature06001
    DOI: 10.1038/nature06001
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    Cited by:

    1. Melody K Morris & Julio Saez-Rodriguez & David C Clarke & Peter K Sorger & Douglas A Lauffenburger, 2011. "Training Signaling Pathway Maps to Biochemical Data with Constrained Fuzzy Logic: Quantitative Analysis of Liver Cell Responses to Inflammatory Stimuli," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-20, March.
    2. Lixin Wang & B. Bishal Paudel & R. Anthony McKnight & Kevin A. Janes, 2023. "Nucleocytoplasmic transport of active HER2 causes fractional escape from the DCIS-like state," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

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