Chris W. Sutton

Detergent addition to tryptic digests and ion mobility separation prior to MS/MS improves peptide yield and protein identification for in situ proteomic investigation of frozen and formalin-fixed paraffin-embedded adenocarcinoma tissue sections

The identification of proteins involved in tumour progression or which permit enhanced or novel therapeutic targeting is essential for cancer research. Direct MALDI analysis of tissue sections is rapidly demonstrating its potential for protein imaging and profiling in the investigation of a range of disease states including cancer. MALDI‐mass spectrometry imaging (MALDI‐MSI) has been used here for direct visualisation and in situ characterisation of proteins in breast tumour tissue section samples. Frozen MCF7 breast tumour xenograft and human formalin‐fixed paraffin‐embedded breast cancer tissue sections were used. An improved protocol for on‐tissue trypsin digestion is described incorporating the use of a detergent, which increases the yield of tryptic peptides for both fresh frozen and formalin‐fixed paraffin‐embedded tumour tissue sections. A novel approach combining MALDI‐MSI and ion mobility separation MALDI‐tandem mass spectrometry imaging for improving the detection of low‐abundance proteins that are difficult to detect by direct MALDI‐MSI analysis is described. In situ protein identification was carried out directly from the tissue section by MALDI‐MSI. Numerous protein signals were detected and some proteins including histone H3, H4 and Grp75 that were abundant in the tumour region were identified.

Characterization of Changes in the Proteome in Different Regions of 3D Multicell Tumor Spheroids

Three dimensional multicell tumor spheroids (MCTS) provide an experimental model where the influence of microenvironmental conditions on protein expression can be determined. Sequential trypsin digestion of HT29 colon carcinoma MCTS enabled segregation into four populations comprising proliferating cells from the surface (SL), an intermediate region (IR), nonproliferating hypoxic cells from the perinecrotic region (PN), and a necrotic core (NC). Total protein was extracted from each population and subjected to iTRAQ-based quantitative proteomics analysis. From a total of 887 proteins identified, 209 were observed to be up-regulated and 114 were down-regulated in the PN and NC regions relative to the SL. Among the up-regulated proteins, components of glycolysis, TCA cycle, lipid metabolism, and steroid biosynthesis increased progressively toward the PN and NC regions. Western blotting, immunohistochemistry, and enzyme assays confirmed that significant changes in the expression of proteins involved in cellular metabolism occur in the nonproliferating fraction of cells within the viable rim. The presence of full length, functional proteins within the NC was unexpected, and further analysis demonstrated that this region contains cells that are undergoing autophagy. This study has identified possible targets that may be suitable for therapeutic intervention, and further studies to validate these are required.

Quantitative Proteomic Profiling of Matched Normal and Tumor Breast Tissues

Proteomic analysis of breast cancer tissue has proven difficult due to its inherent histological complexity. This pilot study presents preliminary evidence for the ability to differentiate adenoma and invasive carcinoma by measuring changes in proteomic profile of matched normal and disease tissues. A dual lysis buffer method was used to maximize protein extraction from each biopsy, proteins digested with trypsin, and the resulting peptides iTRAQ labeled. After combining, the peptide mixtures they were separated using preparative IEF followed by RP nanoHPLC. Following MALDI MS/MS and database searching, identified proteins were combined into a nonredundant list of 481 proteins with associated normal/tumor iTRAQ ratios for each patient. Proteins were categorized by location as blood, extracellular, and cellular, and the iTRAQ ratios were normalized to enable comparison between patients. Of those proteins significantly changed (upper or lower quartile) between matched normal and disease tissues, those from two invasive carcinoma patients had >50% in common with each other but <22% in common with an adenoma patient. In invasive carcinoma patients, several cellular and extracellular proteins that were significantly increased (Periostin, Small breast epithelial mucin) or decreased (Kinectin) have previously been associated with breast cancer, thereby supporting this approach for a larger disease-stage characterization effort.

Trichohyalin is a potential major autoantigen in human alopecia areata.

Several lines of evidence support an autoimmune basis for alopecia areata (AA), a common putative autoimmune hair loss disorder. However, definitive support is lacking largely because the identity of hair follicle (HF) autoantigen(s) involved in its pathogenesis remains unknown. Here, we isolated AA-reactive HF-specific antigens from normal human scalp anagen HF extracts by immunoprecipitation using serum antibodies from 10 AA patients. Samples were analyzed by LC-MALDI-TOF/TOF mass spectrometry, which indicated strong reactivity to the hair growth phase-specific structural protein trichohyalin in all AA sera. Keratin 16 (K16) was also identified as another potential AA-relevant target HF antigen. Double immunofluorescence studies using AA (and control sera) together with a monoclonal antibody to trichohyalin revealed that AA sera contained immunoreactivity that colocalized with trichohyalin in the growth phase-specific inner root sheath of HF. Furthermore, a partial colocalization of AA serum reactivity with anti-K16 antibody was observed in the outer root sheath of the HF. In summary, this study supports the involvement of an immune response to anagen-specific HFs antigens in AA and specifically suggests that an immune response to trichohyalin and K16 may have a role in the pathogenesis of the enigmatic disorder.

Use of matrix-assisted laser desorption/ionisation mass spectrometry in cancer research

Cancer significantly affects millions of people worldwide. It is possible to use proteomic techniques to aid in detection, monitoring of treatment and progression, as well as gaining an increased understanding of cancer. Matrix-assisted laser desorption/ionisation (MALDI) mass spectrometry can be utilised to detect the presence of proteins and peptides within various samples from the body, including blood, biological fluids and tumour tissue. This review aims to introduce MALDI mass spectrometry and discuss a range of applications in the field of cancer research, from quantitative to qualitative methods. Also described is MALDI imaging mass spectrometry which differs from typical sample preparation methods, as analytes are ionised directly from the tissue. Finally, presented is a brief summary of the status of biomarker discovery using blood/serum and biological fluids samples, and the implications in the clinic.

Improved preparation and detection of cytochrome P450 isoforms using MS methods

Cytochromes P450 (CYPs) are a superfamily of mixed function oxidases, which in the liver have great significance to the pharmaceutical industry because their expression will determine the fate of most clinical agents. CYPs are also targets for inhibitors of hormone‐dependent diseases and conversion of prodrugs to active agents in normal and cancer tissues. We have applied simple modifications to established methods of isolating CYPs, using 8 M urea to solubilise microsomal proteins and specific molecular weight gel bands for in‐gel digestion in combination with nanoHPLC MALDI MS to acquire peptide MS/MS spectra for database searching. As a consequence of the changes we significantly improved the yield of proteomic data, identifying 26 mouse CYPs (CYP1a2, 2a4, 2a5, 2a12, 2b9, 2c29, 2c37, 2c39, 2c40, 2c50, 2c54, 2c70, 2d9, 2d10, 2d26, 2e1, 2f2, 2j5, 3a11, 3a13, 3a25, 3a41, 4a14, 4f14, 8b1 and 27a1) with an average sequence coverage of 30.1%, including some previously undetected highly homologous isoforms. In addition, other important enzymes in drug metabolism are also identified. There is a divergence of opinion over the expression of CYP1a1 in liver and we could not detect the presence of this isoform. In order to provide definitive evidence of the ability to detect CYP1a1, we analysed CHO cells transfected with human CYP1A1 and identified unique peptides that differentiated this isoform from human CYP1A2.

Identification of stage-specific breast markers using quantitative proteomics.

Matched healthy and diseased tissues from breast cancer patients were analyzed by quantitative proteomics. By comparing proteomic profiles of fibroadenoma (benign tumors, three patients), DCIS (noninvasive cancer, three patients), and invasive ductal carcinoma (four patients), we identified protein alterations that correlated with breast cancer progression. Three 8-plex iTRAQ experiments generated an average of 826 protein identifications, of which 402 were common. After excluding those originating from blood, 59 proteins were significantly changed in tumor compared with normal tissues, with the majority associated with invasive carcinomas. Bioinformatics analysis identified relationships between proteins in this subset including roles in redox regulation, lipid transport, protein folding, and proteasomal degradation, with a substantial number increased in expression due to Myc oncogene activation. Three target proteins, cofilin-1 and p23 (increased in invasive carcinoma) and membrane copper amine oxidase 3 (decreased in invasive carcinoma), were subjected to further validation. All three were observed in phenotype-specific breast cancer cell lines, normal (nontransformed) breast cell lines, and primary breast epithelial cells by Western blotting, but only cofilin-1 and p23 were detected by multiple reaction monitoring mass spectrometry analysis. All three proteins were detected by both analytical approaches in matched tissue biopsies emulating the response observed with proteomics analysis. Tissue microarray analysis (361 patients) indicated cofilin-1 staining positively correlating with tumor grade and p23 staining with ER positive status; both therefore merit further investigation as potential biomarkers.

The role of targeted chemical proteomics in pharmacology.

Traditionally, proteomics is the high‐throughput characterization of the global complement of proteins in a biological system using cutting‐edge technologies (robotics and mass spectrometry) and bioinformatics tools (Internet‐based search engines and databases). As the field of proteomics has matured, a diverse range of strategies have evolved to answer specific problems. Chemical proteomics is one such direction that provides the means to enrich and detect less abundant proteins (the ‘hidden’ proteome) from complex mixtures of wide dynamic range (the ‘deep’ proteome). In pharmacology, chemical proteomics has been utilized to determine the specificity of drugs and their analogues, for anticipated known targets, only to discover other proteins that bind and could account for side effects observed in preclinical and clinical trials. As a consequence, chemical proteomics provides a valuable accessory in refinement of second‐ and third‐generation drug design for treatment of many diseases. However, determining definitive affinity capture of proteins by a drug immobilized on soft gel chromatography matrices has highlighted some of the challenges that remain to be addressed. Examples of the different strategies that have emerged using well‐established drugs against pharmaceutically important enzymes, such as protein kinases, metalloproteases, PDEs, cytochrome P450s, etc., indicate the potential opportunity to employ chemical proteomics as an early‐stage screening approach in the identification of new targets.

Thin-layer chromatography/matrix-assisted laser desorption/ionisation mass spectrometry and matrix-assisted laser desorption/ionisation mass spectrometry imaging for the analysis of phospholipids in LS174T colorectal adenocarcinoma xenografts treated with the vascular disrupting agent DMXAA

RATIONALE 5,6-Dimethylxanthenone-4-acetic acid (DMXAA) is a low molecular weight drug of the flavonoid group, which has an anti-vascular effect in tumours causing endothelial cell apoptosis and activation of cytokines. Flavonoid-based compounds have been reported to lead to an upregulation in the expression of lysophosphatidylcholines (LPC)-type lipids in solid tumours. A study employing TLC/MALDI-MS and MALDI-MS imaging to examine LS174T colorectal adenocarcinoma xenografts following administration of DMXAA has been conducted into this effect. METHODS LS174T colorectal adenocarcinoma xenografts grown in male immune-deficient mice were treated with 27.5 mg/kg DMXAA. The control (before treatment) and 4 h and 24 h post-treatment tumours were excised and divided into two. MALDI-MS imaging experiments were carried out on 12 µm cryosections sections taken from one half of the tumours and from the other half the lipids were extracted and analysed by TLC/MALDI-MS. These experiments were carried out in triplicate. RESULTS Statistical analysis of the MALDI-MS imaging data set indicated an increased amount of LPC in the 24 h post-treated sample and a decreased amount of PC in the 24 h post-treated sample, compared with the 4 h post-treated sample and the control. These effects were confirmed by the TLC/MALDI-MS data. The lipid extracts were separated into six spots on the TLC plate. These were identified as arising from different lipids classes, i.e. LPC, sphingomyelins (SM), phosphatidylcholines (PC) and phosphatidylethanolamines (PE). The TLC/MALDI-MS data indicated that LPC were highly expressed in the 4 h and 24 h post-treated tumour samples compared with the control. Examination of the mass spectrometric images confirms this increase and demonstrates additionally that the increase in the signals arising from LPC appears to be localised primarily within the central areas of the xenograft. CONCLUSIONS An increase in expression of LPC lipids in solid tumours treated with DMXAA has been demonstrated and shown to be localised in the central area of the tumour.

Proteomic Profiling of Breast Tissue Collagens and Site-specific Characterization of Hydroxyproline Residues of Collagen Alpha-1-(I)

In a quantitative proteomics-based breast cancer study of complementary normal and tumor biopsies, 22 collagen isoforms were detected by LC-MALDI TOF/TOF MS. By applying proline oxidation, representing hydroxyproline, in database search parameters a substantial increase in assigned MS/MS was achieved, boosting the average (three experiments) number of peptides from 306 to 8126 for collagen alpha-1(I). The plethora of peptide identities for alpha-1(I) was disproportionate with full length protein sequence coverage which only increased from 28.3 to 64.4%. The peptides, in fact, constituted an extensive two-dimensional array of isomers exhibiting heterogeneity in degree and location of hydroxyproline residues. A total of 3433 peptides, scores>36 (p<0.01), constituting 94% of the triple helix region of collagen alpha-1(I) provided a census of proline hydroxylation levels defined as the rate of site occupancy for each peptide isomer (r) and the total site occupancy for each proline residue (t). MS/MS and MS/MS/MS analysis, by MALDI-QIT-TOF MS, was used to corroborate site-specific proline hydroxylation of the original data. In addition, iTRAQ data for each collagen isoform in each of 10 patients (grouped by disease) was determined and indicated an increase in fibrillar collagens in invasive carcinoma but little change in fibroadenoma or DCIS.