首页> 美国卫生研究院文献>Cancer Genomics Proteomics >Normal Mouse Brain Proteome II: Analysis of Brain Regions by High-resolution Mass Spectrometry
【2h】

Normal Mouse Brain Proteome II: Analysis of Brain Regions by High-resolution Mass Spectrometry

机译:正常小鼠脑蛋白质二世:高分辨率质谱分析脑区域

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Background/Aim: Proteomics technologies provide fundamental insights into the high organizational complexity and diversity of the central nervous system. In the present study, high-resolution mass spectrometry (MS) was applied in order to identify whole-proteome content of anatomically distinct and functionally specific mouse brain regions. Materials and Methods: Brains from eight 8-week-old C57BL/6N normal male mice were separated into seven anatomically district regions. The protein content of each region was analyzed by high-throughput nano-liquid chromatography-MS/MS Orbitrap elite technology. Results: A total of 16,574 proteins were identified: 2,795 in cerebral cortex, 2,311 in olfactory bulb, 2,246 in hippocampus, 2,247 in hypothalamus, 2,250 in mid brain, 2,334 in cerebellum and 2,391 in medulla. Of these proteins, 534 were uniquely expressed in cerebral cortex, 323 in olfactory bulb, 230 in hippocampus, 272 in hypothalamus, 1,326 in mid brain, 320 in cerebellum and 268 in medulla. Conclusion: These data represent the most comprehensive proteomic map of the normal mouse brain and they might further be used in studies related to brain diseases, including cancer and neurodegenerative diseases.
机译:背景/目的:蛋白质组学技术为中枢神经系统的高组织复杂性和多样性提供了根本性的见解。在本研究中,施用高分辨率质谱(MS)以识别解剖学上不同和功能特异性小鼠脑区域的全蛋白质组含量。材料和方法:将八个8周龄C57BL / 6N正常雄性小鼠的大脑分成七个解剖区域区域。通过高通量纳米液相色谱 - MS / MS曲座精英技术分析每个区域的蛋白质含量。结果:共鉴定了16,574种蛋白质:脑皮质中的2,795例,2,311位,海马2,246例,下丘脑2,247例,中脑中的2,250例,髓质中2,250分,2,334位,髓质中2,391位。在这些蛋白质中,534在脑皮层中唯一地表达,323位在嗅灯泡中,在海马230中,230位下丘脑,1,326位,中脑中的1,326名,在髓质中,320例,髓质中268例。结论:这些数据代表了正常小鼠脑的最全面的蛋白质组学图,它们可能进一步用于与脑病有关的研究,包括癌症和神经变性疾病。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号