Transcriptomic atlas of midbrain dopamine neurons uncovers differential vulnerability in a Parkinsonism lesion model.
Behzad Yaghmaeian SalmaniLaura LahtiLinda GillbergJesper Kjaer JacobsenIoannis MantasPer SvenningssonThomas PerlmannPublished in: eLife (2024)
Midbrain dopamine (mDA) neurons comprise diverse cells with unique innervation targets and functions. This is illustrated by the selective sensitivity of mDA neurons of the substantia nigra compacta (SNc) in patients with Parkinson's disease, while those in the ventral tegmental area (VTA) are relatively spared. Here, we used single nuclei RNA sequencing (snRNA-seq) of approximately 70,000 mouse midbrain cells to build a high-resolution atlas of mouse mDA neuron diversity at the molecular level. The results showed that differences between mDA neuron groups could best be understood as a continuum without sharp differences between subtypes. Thus, we assigned mDA neurons to several 'territories' and 'neighborhoods' within a shifting gene expression landscape where boundaries are gradual rather than discrete. Based on the enriched gene expression patterns of these territories and neighborhoods, we were able to localize them in the adult mouse midbrain. Moreover, because the underlying mechanisms for the variable sensitivities of diverse mDA neurons to pathological insults are not well understood, we analyzed surviving neurons after partial 6-hydroxydopamine (6-OHDA) lesions to unravel gene expression patterns that correlate with mDA neuron vulnerability and resilience. Together, this atlas provides a basis for further studies on the neurophysiological role of mDA neurons in health and disease.
Keyphrases
- cell cycle arrest
- breast cancer cells
- gene expression
- spinal cord
- single cell
- cell death
- pi k akt
- high resolution
- dna methylation
- induced apoptosis
- climate change
- rna seq
- healthcare
- neuropathic pain
- spinal cord injury
- public health
- endoplasmic reticulum stress
- cell proliferation
- depressive symptoms
- oxidative stress
- risk assessment
- genome wide
- metabolic syndrome
- mass spectrometry
- parkinson disease
- health information
- young adults