Kornum Lab

Our lab explores sleep biology in health and disease. Our focus is to understand sleep-wake neurophysiology and how the immune system affects the sleep regulating networks of the brain. We are particularly interested in the hypocretin/orexin neurons, their signaling, and their involvement in the sleep disorder narcolepsy and in sleep-wake regulation during sickness in general.

Birgitte Kornum info

 

 

 

 

The Kornum Lab studies sleep-wake neurophysiology with a focus on the hypocretin (hcrt, also called orexin) system. We study how sleep is affected by the immune system, leading to disturbed sleep during sickness or even narcolepsy. We leverage single-cell technology, animal disease models and human genetics to explore and discover how hcrt neurons and surrounding cells, networks and pathways are involved in sleep disorder mechanisms.

Group Photo Sleeping

 

 

 

 

 

 

 

 

Sleep is regulated by a complex network of brain areas and by many different neurotransmitters and other signalling compounds, including the hypocretin-producing neurons in the lateral hypothalamus.

Social interaction, play, and voluntary exercise have been shown to cause hypocretin activation. Some studies have also suggested that the hypocretin neurons are regulated by light. The implications of this are still unclear, but it looks like we here have a system that – when activated – helps us be really awake when needed.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  • Animal models of sleep disorders: Transgenic models, in-house breeding, transgene expression using viral vectors and Cre-loxP-system.
  • Sleep-wake electrophysiology in mice: We record 24-hour sleep-wake eeg/emg in behaving animals.
  • Behavioural assessments: Locomotion. Spontaneous behaviour (grooming, eating, etc.)
  • Single-cell RNA sequencing: We use droplet-based technologies to perform single-cell sequencing on cells and nuclei from brain tissue.
  • General wet-lab techniques: Immunohistochemistry, quantitative RT-PCR, western blotting, etc.
  • Machine learning: Deep Learning models for sleep data analysis

 

 

 

 

 

 

 

Lab members

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