Chemical tools for temporally and spatially resolved mass spectrometry-based proteomics.
作者： Kai P. Yuet , David A. Tirrell
DOI: 10.1007/S10439-013-0878-3
关键词: Bioinformatics 、 Protein biosynthesis 、 Biology 、 Computational biology 、 Stable isotope labeling by amino acids in cell culture 、 Spatially resolved 、 Cell type 、 Proteomics 、 Mass spectrometry based proteomics 、 Proteome 、 Mass spectrometry
摘要: Accurate measurements of the abundances, synthesis rates and degradation cellular proteins are critical for understanding how cells organisms respond to changes in their environments. Over past two decades, there has been increasing interest use mass spectrometry proteomic analysis. In many systems, however, protein diversity as well cell tissue heterogeneity limit usefulness spectrometry-based proteomics. As a result, researchers have had difficulty systematically identifying expressed within specified time intervals, or low abundance specific tissues few complex microbial systems. this review, we present recently-developed tools strategies that probe these subsets proteome: synthesized during well-defined intervals—temporally resolved proteomics—and predetermined types, compartments—spatially proteomics—with focus on chemical biological methodologies.
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