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Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks

Kishore Hari, Pradyumna Harlapur, Aashna Saxena, Aishwarya Girish, Herbert Levine, View ORCID ProfileMohit Kumar Jolly
doi: https://doi.org/10.1101/2023.02.03.526930
Kishore Hari
1Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India
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  • For correspondence: mkjolly@iisc.ac.in kishorehari@iisc.ac.in
Pradyumna Harlapur
1Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India
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Aashna Saxena
1Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India
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Aishwarya Girish
1Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India
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Herbert Levine
2Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115
3Department of Physics, Northeastern University, Boston, MA 02115
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Mohit Kumar Jolly
1Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India
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  • ORCID record for Mohit Kumar Jolly
  • For correspondence: mkjolly@iisc.ac.in kishorehari@iisc.ac.in
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Abstract

Cell-fate decisions are driven by complex regulatory networks. Despite their complexity, these networks often exhibit low-dimensional dynamics and allow only a limited number of phenotypes. What design principles in network topology allow for these salient features remains unclear. Previously, we demonstrated that networks driving epithelial-mesenchymal transition (EMT) were comprised of two well-coordinated teams of nodes engaged in mutual antagonism; one team drove an epithelial phenotype, while the one reinforced a mesenchymal one, thus canalizing cell-fate decisions. However, it remains elusive whether teams can drive the low-dimensional dynamics of such networks. Here, we investigate networks across diverse biological scenarios (EMT, small cell lung cancer, pluripotency, gonadal cell fate) and show that they all comprise two teams of nodes that can be identified without simulations and drive two mutually exclusive phenotypes. Moreover, a stronger team strength is associated with low dimensionality in the emergent phenotypic space. Our analysis elucidates how the presence of teams may be a fundamental design principle in networks driving cellular decision-making.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 03, 2023.
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Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks
Kishore Hari, Pradyumna Harlapur, Aashna Saxena, Aishwarya Girish, Herbert Levine, Mohit Kumar Jolly
bioRxiv 2023.02.03.526930; doi: https://doi.org/10.1101/2023.02.03.526930
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Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks
Kishore Hari, Pradyumna Harlapur, Aashna Saxena, Aishwarya Girish, Herbert Levine, Mohit Kumar Jolly
bioRxiv 2023.02.03.526930; doi: https://doi.org/10.1101/2023.02.03.526930

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