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Updated: Jun 19, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Spontaneous contexts: Explanatory diversity in biological self-assembly.

Sebastian Sander-Oest1

  • 1Department of Philosophy, Classics, History of Art and Ideas, University of Oslo, Blindernveien 31, Georg Morgenstiernes hus, 0313, Oslo, Norway.

Studies in History and Philosophy of Science
|June 17, 2026
PubMed
Summary
This summary is machine-generated.

Explaining biological spontaneity requires diverse scientific explanations, integrating topological, nomological, functional, and network features. This "explanatory reservoir" approach addresses complex phenomena like virus assembly and microtubule dynamics.

Keywords:
Cell biologyComplexityPhilosophy of biologyPluralismScientific explanationsSelf-assembly

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Area of Science:

  • Philosophy of Science
  • Theoretical Biology
  • Biophysics

Background:

  • Spontaneous biological phenomena present unique explanatory challenges.
  • Current models often lack the necessary scope to fully capture these complex processes.

Purpose of the Study:

  • To propose a novel framework for explaining biological spontaneity.
  • To integrate diverse explanatory features for a comprehensive understanding of biological systems.

Main Methods:

  • Developing models of activated self-assembly.
  • Analyzing biological structures such as virus capsids and microtubule dynamics.
  • Synthesizing topological, nomological, functional, and network features into a unified explanatory structure.

Main Results:

  • Biological spontaneity necessitates explanations incorporating both topological and nomological features.
  • Context-sensitivity in spontaneity complicates mechanistic localization, requiring functional and network features.
  • Activated self-assembly models effectively explain biological structures.

Conclusions:

  • A multi-faceted explanatory approach, termed an "explanatory reservoir," is essential for biological spontaneity.
  • This framework spans multiple levels of generality, offering a more complete picture of biological mechanisms.