Optimized proteomic analysis of a mouse model of cerebellar dysfunction using amine-specific isobaric tags

被引:64
作者
Hu, Jun
Qian, Jin
Borisov, Oleg
Pan, Sanqiang
Li, Yan
Liu, Tong
Deng, Longwen
Wannemacher, Kenneth
Kurnellas, Michael
Patterson, Christa
Elkabes, Stella
Li, Hong [1 ]
机构
[1] Univ Med & Dent New Jersey, Ctr Adv Proteom Res, New Jersey Med Sch, Newark, NJ 07103 USA
[2] Univ Med & Dent New Jersey, Dept Biochem & Mol Biol, New Jersey Med Sch, Newark, NJ 07103 USA
[3] Jinan Univ, Sch Med, Dept Anat, Guangzhou, Guangdong, Peoples R China
[4] Univ Med & Dent New Jersey, Dept Neurol & Neurosci, New Jersey Med Sch, Newark, NJ 07103 USA
[5] Vet Affairs, Serv Neurol, E Orange, NJ USA
关键词
cerebellum; iTRAQ; LC-MS/MS; neuronal dysfunction;
D O I
10.1002/pmic.200600026
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Recent proteomic applications have demonstrated their potential for revealing the molecular mechanisms underlying neurodegeneration. The present study quantifies cerebellar protein changes in mice that are deficient in plasma membrane calcium ATPase 2 (PMCA2), an essential neuronal pump that extrudes calcium from cells and is abundantly expressed in Purkinje neurons. PMCA2-null mice display motor dyscoordination and unsteady gait deficits observed in neurological diseases such as multiple sclerosis and ataxia. We optimized an amine-specific isobaric tags (iTRAQ (TM))-based shotgun proteomics workflow for this study. This workflow took consideration of analytical variance as a function of ion signal intensity and employed biological repeats to aid noise reduction. Even with stringent protein identification criteria, we could reliably quantify nearly 1000 proteins, including many neuronal proteins that are important for synaptic function. We identified 21 proteins that were differentially expressed in PMCA2-null mice. These proteins are involved in calcium homeostasis, cell structure and chromosome organization. Our findings shed light on the molecular changes that underlie the neurological deficits observed in PMCA2-null mice. The optimized workflow presented here will be valuable for others who plan to implement the iTRAQ method.
引用
收藏
页码:4321 / 4334
页数:14
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