A quantitative proteomic workflow for characterization of frozen clinical biopsies: Laser capture microdissection coupled with label-free mass spectrometry

被引:35
|
作者
Shapiro, John P. [1 ]
Biswas, Sabyasachi [4 ]
Merchant, Anand S. [5 ]
Satoskar, Anjali [3 ]
Taslim, Cenny [1 ]
Lin, Shili [6 ]
Rovin, Brad H. [2 ]
Sen, Chandan K. [4 ]
Roy, Sashwati [4 ]
Freitas, Michael A. [1 ]
机构
[1] Ohio State Univ, Coll Med, Dept Mol Virol Immunol & Med Genet, Columbus, OH 43210 USA
[2] Ohio State Univ, Coll Med, Dept Internal Med, Columbus, OH 43210 USA
[3] Ohio State Univ, Coll Med, Dept Pathol, Columbus, OH 43210 USA
[4] Ohio State Univ, Coll Med, Comprehens Wound Ctr, Columbus, OH 43210 USA
[5] Ohio State Univ, Coll Med, Dept Mol & Cellular Biochem, Columbus, OH 43210 USA
[6] Ohio State Univ, Dept Stat, Columbus, OH 43210 USA
基金
美国国家卫生研究院;
关键词
Laser capture microdissection; Proteomics; Label-free; Biopsy; Mass spectrometry; SOLID TUMOR HETEROGENEITY; EXPRESSION; CARCINOMA; ABUNDANCE; CULTURE; WOUNDS; VIRUS; MODEL; HEAD; NECK;
D O I
10.1016/j.jprot.2012.09.019
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This paper describes a simple, highly efficient and robust proteomic workflow for routine liquid-chromatography tandem mass spectrometry analysis of Laser Microdissection Pressure Catapulting (LMPC) isolates. Highly efficient protein recovery was achieved by optimization of a "one-pot" protein extraction and digestion allowing for reproducible proteomic analysis on as few as 500 LMPC isolated cells. The method was combined with label-free spectral count quantitation to characterize proteomic differences from 3000-10,000 LMPC isolated cells. Significance analysis of spectral count data was accomplished using the edgeR tag-count R package combined with hierarchical cluster analysis. To illustrate the capability of this robust workflow, two examples are presented: 1) analysis of keratinocytes from human punch biopsies of normal skin and a chronic diabetic wound and 2) comparison of glomeruli from needle biopsies of patients with kidney disease. Differentially expressed proteins were validated by use of immunohistochemistry. These examples illustrate that tissue proteomics carried out on limited clinical material can obtain informative proteomic signatures for disease pathogenesis and demonstrate the suitability of this approach for biomarker discovery. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:433 / 440
页数:8
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