Metabolic constraints drive self-organization of specialized cell groups

  1. Sriram Varahan
  2. Adhish Walvekar
  3. Vaibhhav Sinha
  4. Sandeep Krishna
  5. Sunil Laxman  Is a corresponding author
  1. InStem - Institute for Stem Cell Science and Regenerative Medicine, India
  2. National Centre for Biological Sciences­‐Tata Institute of Fundamental Research, India

Abstract

How phenotypically distinct states in isogenic cell populations appear and stably co-exist remains unresolved. We find that within a mature, clonal yeast colony developing in low glucose, cells arrange into metabolically disparate cell groups. Using this system, we model and experimentally identify metabolic constraints sufficient to drive such self-assembly. Beginning in a uniformly gluconeogenic state, cells exhibiting a contrary, high pentose phosphate pathway activity state, spontaneously appear and proliferate, in a spatially constrained manner. Gluconeogenic cells in the colony produce and provide a resource, which we identify as trehalose. Above threshold concentrations of external trehalose, cells switch to the new metabolic state and proliferate. A self-organized system establishes, where cells in this new state are sustained by trehalose consumption, which thereby restrains other cells in the trehalose producing, gluconeogenic state. Our work suggests simple physico-chemical principles that determine how isogenic cells spontaneously self-organize into structured assemblies in complimentary, specialized states.

Data availability

All data in this study are generated by computational simulations. All model parameters and equations are included in the manuscript and source code is included with this submission.

Article and author information

Author details

  1. Sriram Varahan

    InStem - Institute for Stem Cell Science and Regenerative Medicine, Bangalore, India
    Competing interests
    The authors declare that no competing interests exist.
  2. Adhish Walvekar

    InStem - Institute for Stem Cell Science and Regenerative Medicine, Bangalore, India
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7344-7653
  3. Vaibhhav Sinha

    Simons Centre for the Study of Living Machines, National Centre for Biological Sciences­‐Tata Institute of Fundamental Research, Bangalore, India
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5169-5485
  4. Sandeep Krishna

    Simons Centre for the Study of Living Machines, National Centre for Biological Sciences­‐Tata Institute of Fundamental Research, Bangalore, India
    Competing interests
    The authors declare that no competing interests exist.
  5. Sunil Laxman

    InStem - Institute for Stem Cell Science and Regenerative Medicine, Bangalore, India
    For correspondence
    sunil.laxman@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0861-5080

Funding

Wellcome Trust - DBT India Alliance (IA/I/14/2/501523)

  • Sunil Laxman

Simons Foundation

  • Vaibhhav Sinha
  • Sandeep Krishna

Wellcome Trust - DBT India Alliance (IA/E/16/1/502996)

  • Sriram Varahan

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Kevin J Verstrepen, VIB-KU Leuven Center for Microbiology, Belgium

Version history

  1. Received: March 11, 2019
  2. Accepted: June 19, 2019
  3. Accepted Manuscript published: June 26, 2019 (version 1)
  4. Version of Record published: July 25, 2019 (version 2)
  5. Version of Record updated: December 17, 2020 (version 3)

Copyright

© 2019, Varahan et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 5,575
    views
  • 631
    downloads
  • 41
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Sriram Varahan
  2. Adhish Walvekar
  3. Vaibhhav Sinha
  4. Sandeep Krishna
  5. Sunil Laxman
(2019)
Metabolic constraints drive self-organization of specialized cell groups
eLife 8:e46735.
https://doi.org/10.7554/eLife.46735

Share this article

https://doi.org/10.7554/eLife.46735

Further reading

    1. Cell Biology
    2. Neuroscience
    Mariana I Tsap, Andriy S Yatsenko ... Halyna R Shcherbata
    Research Article Updated

    Mutations in Drosophila Swiss cheese (SWS) gene or its vertebrate orthologue neuropathy target esterase (NTE) lead to progressive neuronal degeneration in flies and humans. Despite its enzymatic function as a phospholipase is well established, the molecular mechanism responsible for maintaining nervous system integrity remains unclear. In this study, we found that NTE/SWS is present in surface glia that forms the blood-brain barrier (BBB) and that NTE/SWS is important to maintain its structure and permeability. Importantly, BBB glia-specific expression of Drosophila NTE/SWS or human NTE in the sws mutant background fully rescues surface glial organization and partially restores BBB integrity, suggesting a conserved function of NTE/SWS. Interestingly, sws mutant glia showed abnormal organization of plasma membrane domains and tight junction rafts accompanied by the accumulation of lipid droplets, lysosomes, and multilamellar bodies. Since the observed cellular phenotypes closely resemble the characteristics described in a group of metabolic disorders known as lysosomal storage diseases (LSDs), our data established a novel connection between NTE/SWS and these conditions. We found that mutants with defective BBB exhibit elevated levels of fatty acids, which are precursors of eicosanoids and are involved in the inflammatory response. Also, as a consequence of a permeable BBB, several innate immunity factors are upregulated in an age-dependent manner, while BBB glia-specific expression of NTE/SWS normalizes inflammatory response. Treatment with anti-inflammatory agents prevents the abnormal architecture of the BBB, suggesting that inflammation contributes to the maintenance of a healthy brain barrier. Considering the link between a malfunctioning BBB and various neurodegenerative diseases, gaining a deeper understanding of the molecular mechanisms causing inflammation due to a defective BBB could help to promote the use of anti-inflammatory therapies for age-related neurodegeneration.