Identification of Ultrastructural Signatures of Sleep and Wake in the Fly Brain.
Carlos C FloresSophia S LoschkyWilliam MarshallGiovanna Maria SpanoMariangela Massaro CenereGiulio TononiChiara CirelliPublished in: Sleep (2021)
The cellular consequences of sleep loss are poorly characterized. In the pyramidal neurons of mouse frontal cortex we found that mitochondria and secondary lysosomes occupy a larger proportion of the cytoplasm after chronic sleep restriction compared to sleep, consistent with increased cellular burden due to extended wake. For each morphological parameter the within-animal variance was high, suggesting that the effects of sleep and sleep loss vary greatly among neurons. However, the analysis was based on 4-5 mice/group and a single section/cell. Here, we applied serial block-face scanning electron microscopy to identify signatures of sleep and sleep loss in the Drosophila brain. Stacks of images were acquired and used to obtain full 3D reconstructions of the cytoplasm and nucleus of 263 Kenyon cells from adult flies collected after a night of sleep (S) or after 11 hours (SD11) or 35 hours (SD35) of sleep deprivation (9 flies/group). Relative to S flies, SD35 flies showed increased density of dark clusters of chromatin and of Golgi apparata and a trend increase in the percent of cell volume occupied by mitochondria, consistent with increased need for energy and protein supply during extended wake. Logistic regression models could assign each neuron to the correct experimental group with good accuracy, but in each cell nuclear and cytoplasmic changes were poorly correlated, and within-fly variance was substantial in all experimental groups. Together, these results support the presence of ultrastructural signatures of sleep and sleep loss but underscore the complexity of their effects at the single-cell level.
Keyphrases
- sleep quality
- physical activity
- single cell
- stem cells
- dna damage
- genome wide
- type diabetes
- dna methylation
- cell therapy
- spinal cord
- bone marrow
- adipose tissue
- spinal cord injury
- transcription factor
- subarachnoid hemorrhage
- optical coherence tomography
- mesenchymal stem cells
- reactive oxygen species
- convolutional neural network
- high fat diet induced
- contrast enhanced