Transcending the biomarker mindset: deciphering disease mechanisms at the single cell level

被引:22
作者
Danna, EA [1 ]
Nolan, GP [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Microbiol & Immunol, Baxter Lab Genet Pharmacol,Stanford NHLBI Proteom, Stanford, CA 94305 USA
关键词
D O I
10.1016/j.cbpa.2005.12.021
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The application of proteomics to disease research promises to enhance the understanding and treatment of many human maladies through the identification of molecular profiles associated with each disease. However, although much is made of the utility of molecular signatures as markers of disease state, insufficient emphasis is often placed on the simultaneous need for biological mechanism inquiry. Focused and detailed analyses of disease-associated signaling networks have the potential to be more mechanistically informative than large-scale proteomic profiling approaches, providing insight into the cellular processes involved in pathogenesis, disease progression and therapeutic resistance; while still providing diagnostic or clinical management direction. Phospho-specific flow cytometry provides a method for the analysis of pathological signaling networks, enabling the investigation of disease mechanisms at the single-cell level.
引用
收藏
页码:20 / 27
页数:8
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