A morphology and secretome map of pyroptosis.

Journal: Molecular biology of the cell
Published Date:

Abstract

Pyroptosis represents one type of programmed cell death. It is a form of inflammatory cell death that is canonically defined by caspase-1 cleavage and Gasdermin-mediated membrane pore formation. Caspase-1 initiates the inflammatory response (through IL-1β processing), and the N-terminal cleaved fragment of Gasdermin D polymerizes at the cell periphery forming pores to secrete proinflammatory markers. Cell morphology also changes in pyroptosis, with nuclear condensation and membrane rupture. However, recent research challenges canon, revealing a more complex secretome and morphological response in pyroptosis, including overlapping molecular characterization with other forms of cell death, such as apoptosis. Here, we take a multimodal, systems biology approach to characterize pyroptosis. We treated human peripheral blood mononuclear cells (PBMCs) with 36 different combinations of stimuli to induce pyroptosis or apoptosis. We applied both secretome profiling (nELISA) and high-content fluorescence microscopy (Cell Painting). To differentiate apoptotic, pyroptotic, and control cells, we used canonical secretome markers and modified our Cell Painting assay to mark the N-terminus of Gasdermin D. We trained hundreds of machine learning (ML) models to reveal intricate morphology signatures of pyroptosis that implicate changes across many different organelles and predict levels of many proinflammatory markers. Overall, our analysis provides a detailed map of pyroptosis which includes overlapping and distinct connections with apoptosis revealed through a mechanistic link between cell morphology and cell secretome.

Authors

  • Michael J Lippincott
    Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045.
  • Jenna Tomkinson
    Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045.
  • Dave Bunten
    Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045.
  • Milad Mohammadi
    Assay.Works GmbH, Regensburg, Germany 93053.
  • Johanna Kastl
    Assay.Works GmbH, Regensburg, Germany 93053.
  • Johannes Knop
    Assay.Works GmbH, Regensburg, Germany 93053.
  • Ralf Schwandner
    Assay.Works GmbH, Regensburg, Germany 93053.
  • Jiamin Huang
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
  • Grant Ongo
    Nomic Bio, Montreal, Québec, Canada H2T 1C1.
  • Nathaniel Robichaud
    Nomic Bio, Montreal, Québec, Canada H2T 1C1.
  • Milad Dagher
    Nomic Bio, Montreal, Québec, Canada H2T 1C1.
  • Andrés Mansilla-Soto
    Health Sciences Department, University of Aysén, Coyhaique, Chile.
  • Cynthia Saravia-Estrada
    Health Sciences Department, University of Aysén, Coyhaique, Chile.
  • Masafumi Tsuboi
    Department of Chemistry and Biotechnology, University of Tokyo, Tokyo, Japan 113-0033.
  • Carla Basualto-Alarcón
    Health Sciences Department, University of Aysén, Coyhaique, Chile.
  • Gregory P Way
    Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA, USA.