We describe a method to accurately quantify human tumor proteomes by combining a mixture of five stable-isotope labeling by amino acids in cell culture (SILAC)-labeled cell lines with human carcinoma tissue. This generated hundreds of thousands of isotopically labeled peptides in appropriate amounts to serve as internal standards for mass spectrometry-based analysis. By decoupling the labeling from the measurement, this super-SILAC method broadens the scope of SILAC-based proteomics.

Proteomic analysis of samples isolated by laser capture microdissection from clinical specimens requires sample preparation and fractionation methods suitable for small amounts of protein. Here we describe a streamlined filter-aided sample preparation (FASP) workflow that allows efficient analysis of lysates from low numbers of cells. Addition of carrier substances such as polyethylene glycol or dextran to the processed samples improves the peptide yields in the low to submicrogram range. In a single LC-MS/MS run, analyses of 500, 1000, and 3000 cells allowed identification of 905, 1536, and 2055 proteins, respectively. Incorporation of an additional SAX fractionation step at somewhat higher amounts enabled the analysis of formalin fixed and paraffin embedded human tissues prepared by LCM to a depth of 3600-4400 proteins per single experiment. We applied this workflow to compare archival neoplastic and matched normal colonic mucosa cancer specimens for three patients. Label-free quantification of more than 6000 proteins verified this technology through the differential expression of 30 known colon cancer markers. These included Carcino-Embryonic Antigen (CEA), the most widely used colon cancer marker, complement decay accelerating factor (DAF, CD55) and Metastasis-associated in colon cancer protein 1 (MACC1). Concordant with literature knowledge, mucin 1 was overexpressed and mucin 2 underexpressed in all three patients. These results show that FASP is suitable for the low level analysis of microdissected tissue and that it has the potential for exploration of clinical samples for biomarker and drug target discovery.

In-depth proteomic analysis of microdissected colorectal cancer identifies extensive alterations in the cell-surface and nuclear proteomes between normal mucosa and adenocarcinoma, but observes strikingly little proteomic change between cancer and metastases.

Tissue samples in biobanks are typically formalin-fixed and paraffin-embedded (FFPE), in which form they are preserved for decades. It has only recently been shown that proteins in FFPE tissues can be identified by mass spectrometry-based proteomics but analysis of post-translational modifications is thought to be difficult or impossible. The filter aided sample preparation (FASP) method can analyze proteomic samples solubilized in high concentrations of SDS and we use this feature to develop a simple protocol for FFPE analysis. Combination with simple pipet-tip based peptide fractionation identified about 5000 mouse liver proteins in 24 h measurement time-the same as in fresh tissue. Results from the FFPE-FASP procedure do not indicate any discernible changes due to storage time, hematoxylin staining or laser capture microdissection. We compared fresh against FFPE tissue using the SILAC mouse and found no significant qualitative or quantitative differences between these samples either at the protein or the peptide level. Application of our FFPE-FASP protocol to phosphorylation and N-glycosylation pinpointed nearly 5000 phosphosites and 1500 N-glycosylation sites. Analysis of FFPE tissue of the SILAC mouse revealed that these post-translational modifications were quantitatively preserved. Thus, FFPE biobank material can be analyzed by quantitative proteomics at the level of proteins and post-translational modifications.