Proteomics: a pragmatic perspective

被引:289
作者
Mallick, Parag [1 ,2 ,3 ]
Kuster, Bernhard [4 ,5 ]
机构
[1] Univ So Calif, Dept Med, Ctr Appl Mol Med, Los Angeles, CA 90089 USA
[2] Univ So Calif, Dept Biomed Engn, Ctr Appl Mol Med, Los Angeles, CA 90089 USA
[3] Univ Calif Los Angeles, Dept Chem & Biochem, Los Angeles, CA 90024 USA
[4] Tech Univ Munich, Chair Prote & Bioanalyt, D-8050 Freising Weihenstephan, Germany
[5] Ctr Integrated Prot Sci Munich, Munich, Germany
关键词
PROTEIN-PROTEIN INTERACTIONS; LASER CAPTURE MICRODISSECTION; OVARIAN-CANCER CELLS; MASS-SPECTROMETRY; ABSOLUTE QUANTIFICATION; LIQUID-CHROMATOGRAPHY; CROSS-LINKING; TYROSINE PHOSPHORYLATION; SACCHAROMYCES-CEREVISIAE; QUANTITATIVE-ANALYSIS;
D O I
10.1038/nbt.1658
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The evolution of mass spectrometry-based proteomic technologies has advanced our understanding of the complex and dynamic nature of proteomes while concurrently revealing that no 'one-size-fits-all' proteomic strategy can be used to address all biological questions. Whereas some techniques, such as those for analyzing protein complexes, have matured and are broadly applied with great success, others, such as global quantitative protein expression profiling for biomarker discovery, are still confined to a few expert laboratories. In this Perspective, we attempt to distill the wide array of conceivable proteomic approaches into a compact canon of techniques suited to asking and answering specific types of biological questions. By discussing the relationship between the complexity of a biological sample and the difficulty of implementing the appropriate analysis approach, we contrast areas of proteomics broadly usable today with those that require significant technical and conceptual development. We hope to provide nonexperts with a guide for calibrating expectations of what can realistically be learned from a proteomics experiment and for gauging the planning and execution effort. We further provide a detailed supplement explaining the most common techniques in proteomics.
引用
收藏
页码:695 / 709
页数:15
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