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Proteomics is the study of complex biological systems by analyzing protein expression, function, modifications, and interactions1. Several methods have been utilized for proteome analysis of the inner ear, including antibody microarray2, two-dimensional gel electrophoresis3-5, and DIGE6. However, only a limited number of proteins have been identified and characterized2,7-10, compared to the over 10,000 genes and expressed sequence tags (ESTs) identified in the inner ear11,12, MS is the most commonly used and comprehensive technique in proteomics for protein characterization. Analysis of complex proteomic samples, such as the cochlea, can be challenging. However, the combination of multiple separation techniques with MS enables the identification of a greater number of peptides and proteins, due to an increased dynamic concentration range and peak capacity13. Multidimensional chromatography reduces highly complex protein mixtures by allowing the use of different adsorption mechanisms. There are two commonly used MS proteome analysis approaches, shotgun and bottom-up proteomics. In shotgun proteomics, a mixture of intact proteins is enzymatically digested and separated using multidimensional chromatography with strong cation-exchange chromatography (SCX) followed by reversed-phase liquid chromatography (RPLC)14,15. The separated peptides are subjected to tandem MS and database searching15. A major advantage of this technique is that thousands of proteins can be identified in a single analysis and the technique is better suited to membrane proteins.
In the bottom-up approach, the protein mixture is separated, usually by one- or two-dimensional electrophoresis, and the individual protein bands or spots cut out and digested with an enzyme such as trypsin, usually resulting in multiple peptides. However, another more recently developed electrophoretic approach, used in bottom-up proteomics, is GELFrEE. This technique fractionates protein samples in liquid-phase and makes them less complex prior to analysis. This technique is reproducible, offers high protein recovery, and reduces the distribution of high abundant proteins in complex protein samples16. Peptides, resulting from separated proteins, are analyzed by MS, by using peptide mass fingerprinting or tandem MS (MS/MS), to create sequence tags for database searching17-19. Some of the major advantages of using the bottom-up approach are the ability to obtain high-resolution separations and comprehensive protein coverage. Bottom-up proteomics is the most widely used technique in proteomics20, hence, several bioinformatics tools are available. In addition, proteins can be separated in a complex mixture before digestion, so there is a greater chance of identification.
One of the major challenges in using the inner ear for proteomic analysis is its small size, restricted accessibility, and cell type diversity21. In addition, key proteins that distinguish its functionality, such as ion channels, transporters and receptors, are membrane proteins, which can be difficult to isolate22. Thus, filter-aided sample preparation (FASP) is advantageous for proteomic analyses of tissues that are limited for protein extraction and that require detergents to solubilize membranes23. This filtering allows for the MS analysis of membrane and soluble proteins and for the ability to isolate peptides from low molecular weight contaminants23,24.
The present protocol describes commonly used proteomic approaches that are combined and modified to analyze both soluble and membrane proteins and to maximize the number of protein IDs from the cochlear sensory epithelium. We will describe using shotgun proteomics with FASP multi-digestion, ion exchange chromatography, high resolution MS, and data analysis. In addition, we will describe bottom-up proteomics with GELFrEE, FASP multi-digestion, high resolution MS, and data analysis.