To address the challenges associated with differential expression proteomics, label-free mass spectrometric protein quantification methods have been developed as alternatives to array-based, gel-based, and stable isotope tag or label-based approaches. In this paper, we focus on the issues associated with label-free methods that rely on quantitation based on peptide ion peak area measurement. These issues include chromatographic alignment, peptide qualification for quantitation, and normalization. In addressing these issues, we present various approaches, assembled in a recently developed label-free quantitative mass spectrometry platform, that overcome these difficulties and enable comprehensive, accurate, and reproducible protein quantitation in highly complex protein mixtures from experiments with many sample groups. As examples of the utility of this approach, we present a variety of cases where the platform was applied successfully to assess differential protein expression or abundance in body fluids, in vitro nanotoxicology models, tissue proteomics in genetic knock-in mice, and cell membrane proteomics.
Keyphrases
- metabolic syndrome
- label free
- mass spectrometry
- high resolution
- liquid chromatography
- high performance liquid chromatography
- insulin resistance
- ms ms
- high throughput
- tandem mass spectrometry
- gas chromatography
- capillary electrophoresis
- liquid chromatography tandem mass spectrometry
- protein protein
- amino acid
- binding protein
- adipose tissue
- gene expression
- high density