Large vesicle extrusions from C. elegans neurons are consumed and stimulated by glial-like phagocytosis activity of the neighboring cell

Abstract

C. elegans neurons under stress can produce giant vesicles, several microns in diameter, called exophers. Current models suggest that exophers are neuroprotective, providing a mechanism for stressed neurons to eject toxic protein aggregates and organelles. However, little is known of the fate of the exopher once it leaves the neuron. We found that exophers produced by mechanosensory neurons in C. elegans are engulfed by surrounding hypodermal skin cells and are then broken up into numerous smaller vesicles that acquire hypodermal phagosome maturation markers, with vesicular contents gradually degraded by hypodermal lysosomes. Consistent with the hypodermis acting as an exopher phagocyte, we found that exopher removal requires hypodermal actin and Arp2/3, and the hypodermal plasma membrane adjacent to newly formed exophers accumulates dynamic F-actin during budding. Efficient fission of engulfed exopher-phagosomes to produce smaller vesicles and degrade their contents requires phagosome maturation factors SAND-1/Mon1, GTPase RAB-35, the CNT-1 ARF-GAP, and microtubule motor associated GTPase ARL-8, suggesting a close coupling of phagosome fission and phagosome maturation. Lysosome activity was required to degrade exopher contents in the hypodermis but not for exopher-phagosome resolution into smaller vesicles. Importantly, we found that GTPase ARF-6 and effector SEC-10/Exocyst activity in the hypodermis, along with the CED-1 phagocytic receptor, is required for efficient production of exophers by the neuron. Our results indicate that the neuron requires specific interaction with the phagocyte for an efficient exopher response, a mechanistic feature potentially conserved with mammalian exophergenesis, and similar to neuronal pruning by phagocytic glia that influences neurodegenerative disease.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files; Source Data files have been provided for Figures 1-8 and S2-S6.

Article and author information

Author details

  1. Yu Wang

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Meghan Lee Arnold

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Anna Joelle Smart

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Guoqiang Wang

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3694-7103
  5. Rebecca J Androwski

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Andres Morera

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Ken CQ Nguyen

    Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Peter J Schweinsberg

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Ge Bai

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Jason Cooper

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. David H Hall

    Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Monica Driscoll

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. Barth D Grant

    Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, United States
    For correspondence
    barthgra@dls.rutgers.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5943-8336

Funding

National Institutes of Health (R01AG047101)

  • David H Hall
  • Monica Driscoll
  • Barth D Grant

National Institutes of Health (R24OD090143)

  • David H Hall

National Institutes of Health (F31AG066405)

  • Meghan Lee Arnold

National Institutes of Health (F31NS101969)

  • Anna Joelle Smart

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

Copyright

© 2023, Wang 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

  • 3,247
    views
  • 487
    downloads
  • 18
    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. Yu Wang
  2. Meghan Lee Arnold
  3. Anna Joelle Smart
  4. Guoqiang Wang
  5. Rebecca J Androwski
  6. Andres Morera
  7. Ken CQ Nguyen
  8. Peter J Schweinsberg
  9. Ge Bai
  10. Jason Cooper
  11. David H Hall
  12. Monica Driscoll
  13. Barth D Grant
(2023)
Large vesicle extrusions from C. elegans neurons are consumed and stimulated by glial-like phagocytosis activity of the neighboring cell
eLife 12:e82227.
https://doi.org/10.7554/eLife.82227

Share this article

https://doi.org/10.7554/eLife.82227

Further reading

    1. Cell Biology
    2. Computational and Systems Biology
    Sarah De Beuckeleer, Tim Van De Looverbosch ... Winnok H De Vos
    Research Article

    Induced pluripotent stem cell (iPSC) technology is revolutionizing cell biology. However, the variability between individual iPSC lines and the lack of efficient technology to comprehensively characterize iPSC-derived cell types hinder its adoption in routine preclinical screening settings. To facilitate the validation of iPSC-derived cell culture composition, we have implemented an imaging assay based on cell painting and convolutional neural networks to recognize cell types in dense and mixed cultures with high fidelity. We have benchmarked our approach using pure and mixed cultures of neuroblastoma and astrocytoma cell lines and attained a classification accuracy above 96%. Through iterative data erosion, we found that inputs containing the nuclear region of interest and its close environment, allow achieving equally high classification accuracy as inputs containing the whole cell for semi-confluent cultures and preserved prediction accuracy even in very dense cultures. We then applied this regionally restricted cell profiling approach to evaluate the differentiation status of iPSC-derived neural cultures, by determining the ratio of postmitotic neurons and neural progenitors. We found that the cell-based prediction significantly outperformed an approach in which the population-level time in culture was used as a classification criterion (96% vs 86%, respectively). In mixed iPSC-derived neuronal cultures, microglia could be unequivocally discriminated from neurons, regardless of their reactivity state, and a tiered strategy allowed for further distinguishing activated from non-activated cell states, albeit with lower accuracy. Thus, morphological single-cell profiling provides a means to quantify cell composition in complex mixed neural cultures and holds promise for use in the quality control of iPSC-derived cell culture models.

    1. Cell Biology
    Joan Chang, Adam Pickard ... Karl E Kadler
    Research Article

    Collagen-I fibrillogenesis is crucial to health and development, where dysregulation is a hallmark of fibroproliferative diseases. Here, we show that collagen-I fibril assembly required a functional endocytic system that recycles collagen-I to assemble new fibrils. Endogenous collagen production was not required for fibrillogenesis if exogenous collagen was available, but the circadian-regulated vacuolar protein sorting (VPS) 33b and collagen-binding integrin α11 subunit were crucial to fibrillogenesis. Cells lacking VPS33B secrete soluble collagen-I protomers but were deficient in fibril formation, thus secretion and assembly are separately controlled. Overexpression of VPS33B led to loss of fibril rhythmicity and overabundance of fibrils, which was mediated through integrin α11β1. Endocytic recycling of collagen-I was enhanced in human fibroblasts isolated from idiopathic pulmonary fibrosis, where VPS33B and integrin α11 subunit were overexpressed at the fibrogenic front; this correlation between VPS33B, integrin α11 subunit, and abnormal collagen deposition was also observed in samples from patients with chronic skin wounds. In conclusion, our study showed that circadian-regulated endocytic recycling is central to homeostatic assembly of collagen fibrils and is disrupted in diseases.