...
首页> 外文期刊>Amino acids >100% protein sequence coverage: a modern form of surrealism in proteomics
【24h】

100% protein sequence coverage: a modern form of surrealism in proteomics

机译:100%的蛋白质序列覆盖:蛋白质组学中超现实主义的现代形式

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This review intends not only to discuss the current possibilities to gain 100% sequence coverage for proteins, but also to point out the critical limits to such an attempt. The aim of 100% sequence coverage, as the review title already implies, seems to be rather surreal if the complexity and dynamic range of a proteome is taken into consideration. Nevertheless, established bottom-up shotgun approaches are able to roughly identify a complete proteome as exemplary shown by yeast. However, this proceeding ignores more or less the fact that a protein is present as various protein species. The unambiguous identification of protein species requires 100% sequence coverage. Furthermore, the separation of the proteome must be performed on the protein species and not on the peptide level. Therefore, top-down is a good strategy for protein species analysis. Classical 2D-electrophoresis followed by an enzymatic or chemical cleavage, which is a combination of top-down and bottom-up, is another interesting approach. Moreover, the review summarizes further top-down and bottom-up combinations and to which extent middle-down improves the identification of protein species. The attention is also focused on cleavage strategies other than trypsin, as 100% sequence coverage in bottom-up experiments is only obtainable with a combination of cleavage reagents.
机译:这篇综述不仅打算讨论目前获得100%蛋白质序列覆盖率的可能性,而且还指出了这种尝试的关键限制。如果考虑到蛋白质组的复杂性和动态范围,那么100%序列覆盖率的目标似乎是超现实的。然而,已建立的自下而上的shot弹枪方法能够粗略地鉴定出完整的蛋白质组,如酵母所示。然而,该过程或多或少地忽略了蛋白质作为各种蛋白质种类存在的事实。蛋白质种类的明确鉴定需要100%的序列覆盖率。此外,蛋白质组的分离必须在蛋白质种类上而不是在肽水平上进行。因此,自上而下是蛋白质种类分析的好策略。另一种有趣的方法是经典的2D电泳,然后进行酶或化学裂解,这是自上而下和自下而上的组合。此外,该综述总结了自上而下和自下而上的进一步组合,中到下在何种程度上改善了蛋白质种类的鉴定。注意力也集中在除胰蛋白酶以外的裂解策略上,因为自下而上的实验中100%的序列覆盖率只能通过裂解试剂的组合才能获得。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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