Long-term live imaging, cell identification and cell tracking in regenerating crustacean legs
High-resolution live imaging of regeneration presents unique challenges due to the nature of the specimens (large mobile animals), the duration of the process (spanning days or weeks), and the fact that cellular resolution must be achieved without damage caused by lengthy exposures to light. Building on previous work that allowed us to image different parts of the process of leg regeneration in the crustacean Parhyale hawaiensis , we present here a method for live imaging that captures the entire process of leg regeneration, spanning up to 10 days, at cellular resolution. Our method includes (1) mounting and long-term live imaging of regenerating legs under conditions that yield high spatial and temporal resolution but minimise photodamage, (2) fixing and in situ staining of the regenerated legs that were imaged, to identify cell fates, and (3) computer-assisted cell tracking to determine the cell lineages and progenitors of identified cells. The method is optimised to limit light exposure while maximising tracking efficiency. Combined with appropriate cell-type-specific markers, this method may allow the description of cell lineages for every regenerated cell type in the limb.
Authors
- Béryl Laplace-Builhe (ORCID: https://orcid.org/0000-0002-1437-587X)
- Michalis Averof (ORCID: https://orcid.org/0000-0002-6803-7251)
- Jacques Brocard (ORCID: https://orcid.org/0000-0002-0752-5737)
- Alba Almazán (ORCID: https://orcid.org/0000-0001-9933-4278)
- Çağrı Çevrim (ORCID: https://orcid.org/0000-0002-4720-7944)
- Nicolas Labert
- Ko Sugawara (ORCID: https://orcid.org/0000-0002-1392-9340)
- Maria Lorenza Rusciano (ORCID: https://orcid.org/0009-0000-6428-2674)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- École Normale Supérieure de Lyon (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Institut National de Recherche en Santé Publique (ML)
- RIKEN Center for Biosystems Dynamics Research (JP)
- Institut de Génomique Fonctionnelle de Lyon (FR)
Publication Details
- Journal
- eLife
- Published
- 2025-08-08
- DOI
- https://doi.org/10.7554/elife.107534.2
- Primary Topic
- Neurobiology and Insect Physiology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Boehringer Ingelheim Fonds
- Agence Nationale de la Recherche
- Core Research for Evolutional Science and Technology