Journal article

Compartment and cell-type specific hypoxia responses in the developing Drosophila brain

  • Baccino-Calace, Martin Developmental Neurobiology, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo 11600, Uruguay
  • Prieto, Daniel Developmental Neurobiology, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo 11600, Uruguay
  • Cantera, Rafael Developmental Neurobiology, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo 11600, Uruguay - Zoology Department, Stockholm University, Stockholm 106 91, Sweden
  • Egger, Boris Department of Biology, University of Fribourg, Fribourg CH-1700, Switzerland
Show more…
    15.08.2020
Published in:
  • Biology Open. - 2020, vol. 9, no. 8, p. bio053629
English Environmental factors such as the availability of oxygen are instructive cues that regulate stem cell maintenance and differentiation. We used a genetically encoded biosensor to monitor the hypoxic state of neural cells in the larval brain of Drosophila. The biosensor reveals brain compartment and cell-type specific levels of hypoxia. The values correlate with differential tracheolation that is observed throughout development between the central brain and the optic lobe. Neural stem cells in both compartments show the strongest hypoxia response while intermediate progenitors, neurons and glial cells reveal weaker responses. We demonstrate that the distance between a cell and the next closest tracheole is a good predictor of the hypoxic state of that cell. Our study indicates that oxygen availability appears to be the major factor controlling the hypoxia response in the developing Drosophila brain and that cell intrinsic and cell-type specific factors contribute to modulate the response in an unexpected manner.
Faculty
Faculté des sciences et de médecine
Department
Département de Biologie
Language
  • English
Classification
Biological sciences
Other electronic version

Supplementary material

License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/308817
Statistics

Document views: 24 File downloads:
  • egg_cct.pdf: 63