An Anatomically Resolved Mouse Brain Proteome Reveals Parkinson Disease-relevant Pathways.
Sung Yun JungJong Min ChoiMaxime W C RousseauxAnna MalovannayaJean J KimJoachim KutzeraYi WangYin HuangWeimin ZhuSuman MaityHuda Yahya ZoghbiJun QinPublished in: Molecular & cellular proteomics : MCP (2017)
Here, we present a mouse brain protein atlas that covers 17 surgically distinct neuroanatomical regions of the adult mouse brain, each less than 1 mm3 in size. The protein expression levels are determined for 6,500 to 7,500 gene protein products from each region and over 12,000 gene protein products for the entire brain, documenting the physiological repertoire of mouse brain proteins in an anatomically resolved and comprehensive manner. We explored the utility of our spatially defined protein profiling methods in a mouse model of Parkinson's disease. We compared the proteome from a vulnerable region (substantia nigra pars compacta) of wild type and parkinsonian mice with that of an adjacent, less vulnerable, region (ventral tegmental area) and identified several proteins that exhibited both spatiotemporal- and genotype-restricted changes. We validated the most robustly altered proteins using an alternative profiling method and found that these modifications may highlight potential new pathways for future studies. This proteomic atlas is a valuable resource that offers a practical framework for investigating the molecular intricacies of normal brain function as well as regional vulnerability in neurological diseases. All of the mouse regional proteome profiling data are published on line at http://mbpa.bprc.ac.cn/.
Keyphrases
- parkinson disease
- single cell
- wild type
- protein protein
- mouse model
- deep brain stimulation
- amino acid
- type diabetes
- binding protein
- climate change
- copy number
- squamous cell carcinoma
- randomized controlled trial
- resting state
- machine learning
- adipose tissue
- multiple sclerosis
- metabolic syndrome
- young adults
- small molecule
- current status
- cerebral ischemia
- risk assessment
- electronic health record
- single molecule
- gene expression
- brain injury
- genome wide identification