Matthew J. McKay

How specific is my SRM?: The issue of precursor and product ion redundancy.

Selected reaction monitoring (SRM) MS is proving to be a popular approach for targeted quantitative proteomics. The use of proteotypic peptides as candidates for SRM analysis is a wise first step in SRM method design. The obvious reason for this is the need to avoid redundancy at the sequence level, however this is incidental. The true reason is that homologous peptides result in redundancy in the mass‐to‐charge domain. This may seem like a trivial subtlety, however, we believe this is an issue of far greater significance than the proteomic community is aware. This VIEWPOINT article serves to highlight the complexity associated with designing SRM assays in light of potential ion redundancy.

Proteomic response of the biological control fungus Trichoderma atroviride to growth on the cell walls of Rhizoctonia solani

Trichoderma atroviride has a natural ability to parasitise phytopathogenic fungi such as Rhizoctonia solani and Botrytis cinerea, therefore providing an environmentally sound alternative to chemical fungicides in the management of these pathogens. Two-dimensional electrophoresis was used to display cellular protein patterns of T. atroviride (T. harzianum P1) grown on media containing either glucose or R. solani cell walls. Protein profiles were compared to identify T. atroviride proteins up-regulated in the presence of the R. solani cell walls. Twenty-four protein spots were identified using matrix-assisted laser desorption ionisation mass spectrometry, liquid chromatography mass spectrometry and N-terminal sequencing. Identified up-regulated proteins include known fungal cell wall-degrading enzymes such as N-acetyl-β-d-glucosaminidase and 42-kDa endochitinase. Three novel proteases of T. atroviride were identified, containing sequence similarity to vacuolar serine protease, vacuolar protease A and a trypsin-like protease from known fungal proteins. Eukaryotic initiation factor 4a, superoxide dismutase and a hypothetical protein from Neurospora crassa were also up-regulated as a response to R. solani cell walls. Several cell wall-degrading enzymes were identified from the T. atroviride culture supernatant, providing further evidence that a cellular response indicative of biological control had occurred.

Proteome analysis reveals antiangiogenic environments in chronic wounds of diabetes mellitus type 2 patients.

In contrast to normal healing wounds, chronic wounds commonly show disturbances in proteins regulating wound healing processes, particularly those involved in cell proliferation and protein degradation. Multidimensional protein identification technology MS/MS was conducted to investigate and compare the protein composition of chronic diabetic foot exudates to exudates from split‐skin donor sites of burn victims otherwise healthy. Spectral counting revealed 188 proteins differentially expressed (more than twofold and p‐value <0.05) in chronic wounds. Most were involved in biological processes including inflammation, angiogenesis, and cell mortality. Increased expression of the inflammatory response stimulating S100 proteins, predominantly S100A8 and S100A9 (almost tenfold), was identified. Matrix metalloproteinases (MMPs) MMP1, MMP2, and MMP8 were identified to be elevated in chronic wounds with significant impact on collagen degradation and tissue destruction. Further, proteins with antiangiogenic properties were found at higher expression levels in chronic wounds. Reduced angiogenesis leads to drastic shortage in nutrition supply and causes increased cell death, demonstrated by Annexin A5 exclusively found in chronic wound exudates. However, excessive nucleic and cytosolic material infers cell death occurring not only by apoptosis but also by necrosis. In conclusion, mass spectrometric investigation of exudates from chronic wounds demonstrated dramatic impairment in wound repair with excessive inflammation, antiangiogenic environment, and accelerated cell death.

Unique Ion Signature Mass Spectrometry, a Deterministic Method to Assign Peptide Identity

The growing use of selected reaction monitoring (SRM) mass spectrometry in proteomic analyses led us to investigate how to identify peptides by SRM using only a minimal number of fragment ions. By using a computational model of the SRM work flow we computed the potential interferences from other peptides in a given proteome. From these results, we selected the deterministic SRM addresses that contained sufficient information to confer peptide and protein identity that we termed unique ion signatures (UIS). We computationally showed that UIS comprised of only two transitions are diagnostic for >99% of Escherichia coli proteins and >96% of human proteins that possess a sequence-unique peptide. We demonstrated an example of experimental use of UIS using a modified SRM methodology to profile the E. coli tricarboxylic acid cycle from a single injection of cell lysate. In addition, we showed the potential of UIS to form the first functionally orthogonal approach to validate peptide assignments obtained from conventional analyses of MS/MS spectra. The UIS methodology is a novel deterministic peptide identification method for MS/MS spectra based on information content. These robust theoretical assays will have widespread use when integrated with previously collected MS/MS data and conventional proteomics technologies.

The development of multiple reaction monitoring assays for liver-derived plasma proteins.

There is wide interpatient variability in toxicity to chemotherapeutic drugs and a lack of routine clinical tests for prospectively identifying patients at risk of developing toxicity from chemotherapy. An empirically driven MS strategy has been developed to monitor liver‐derived plasma proteins as potential biomarkers of early toxicity. Multiple reaction monitoring (MRM) has been used to assess 46 candidate peptides from 18 liver‐derived proteins. Following an iterative process of assay design, optimisation and assessment we selected 29 MRM assays (median CV 4.6%, range 1.2–11.6%) and monitored changes in levels of plasma proteins from a small number of colorectal cancer (CRC) patients undergoing chemotherapy. We demonstrated MRM assay robustness, and show that patients undergo minor elevation in plasma proteins when profiled on Day 3 of the chemotherapeutic regime. The MRM assays were in general agreement with 2‐D DIGE‐based quantitation from the same patient samples. The data supports the application of MRM‐based methods as facile, highly reproducible, medium‐throughput techniques that warrant expanded investigation for clinical utility in identifying patients at risk of developing chemotoxicity.

Evaluation of blood collection tubes using selected reaction monitoring MS: implications for proteomic biomarker studies.

An emphasis of current proteomic research is the validation of plasma protein biomarkers. The process of blood collection itself is critical to the accuracy and reproducibility of quantitative biomarker assays. We have developed selected reaction monitoring (SRM) assays to analyse thirteen abundant plasma proteins and evaluated the impact of three different blood collection tubes on the levels of these proteins. We also assessed the implications of the time taken to analyse plasma samples by evaluating the recovery of these proteins. We showed that SRM detects minor differences in the levels of some proteins which can be attributed to collection tube type. The average recovery for 12 of 18 assays was higher for proteins that were collected in tubes containing protease inhibitors compared to conventional collection tubes. For five of the assays, the differential recovery was statistically significant. Delaying MS analysis of a freeze‐thawed sample for 1 hour showed greatly reduced recovery of these analytes; however differences attributed to tube type were only evident at the baseline timepoint. Finally, we assessed the natural variation of circulating levels of these proteins in a cohort of seven healthy individuals. This study provides useful information for researchers contemplating blood collection for undertaking protein biomarker studies.

Proteomics of Smad4 regulated transforming growth factor-beta signalling in colon cancer cells

TGF-β signalling can play a paradoxical cell type specific role in cancer progression. Smad4 is a key mediator of the TGF-β pathway, and is mutated and/or deleted in many cancers. To investigate Smad4 regulated TGF-β signalling in colon cancer we conducted an iTRAQ mass spectrometry quantitative screen using wild type SW480 (Smad4 negative) colon carcinoma cells and stably restored Smad4 positive SW480 cells. In cells possessing a restored canonical TGF-β signalling pathway, 48 h TGF-β stimulation induced the expression of 15 proteins and repressed 1 protein, while in Smad4 wild type cells, TGF-β induced 7 proteins and repressed 2 proteins. The expression of several S100 protein family members (A2, A4, A10, and A11), transgelin-2 and AKAP12, amongst others, were shown to be regulated by TGF-β in a Smad4 dependent manner. We observed that S100 A4 could be repressed by TGF-β, independently of Smad4 expression, while other Smad4 independent TGF-β responses were restricted to induction of ribosomes and cytoskeletal proteins. Our proteomic screen has identified new Smad4 dependent and independent TGF-β responses in colon carcinoma cells.

Biomarkers of Breast Cancer Apoptosis Induced by Chemotherapy and TRAIL

Treatment of breast cancer is complex and challenging due to the heterogeneity of the disease. To avoid significant toxicity and adverse side-effects of chemotherapy in patients who respond poorly, biomarkers predicting therapeutic response are essential. This study has utilized a proteomic approach integrating 2D-DIGE, LC-MS/MS, and bioinformatics to analyze the proteome of breast cancer (ZR-75-1 and MDA-MB-231) and breast epithelial (MCF-10A) cell lines induced to undergo apoptosis using a combination of doxorubicin and TRAIL administered in sequence (Dox-TRAIL). Apoptosis induction was confirmed using a caspase-3 activity assay. Comparative proteomic analysis between whole cell lysates of Dox-TRAIL and control samples revealed 56 differentially expressed spots (≥2-fold change and p < 0.05) common to at least two cell lines. Of these, 19 proteins were identified yielding 11 unique protein identities: CFL1, EIF5A, HNRNPK, KRT8, KRT18, LMNA, MYH9, NACA, RPLP0, RPLP2, and RAD23B. A subset of the identified proteins was validated by selected reaction monitoring (SRM) and Western blotting. Pathway analysis revealed that the differentially abundant proteins were associated with cell death, cellular organization, integrin-linked kinase signaling, and actin cytoskeleton signaling pathways. The 2D-DIGE analysis has yielded candidate biomarkers of response to treatment in breast cancer cell models. Their clinical utility will depend on validation using patient breast biopsies pre- and post-treatment with anticancer drugs.

Multidimensional protein identification technology-selected reaction monitoring improving detection and quantification for protein biomarker studies.

The targeted analysis of proteins in complex biological samples is best achieved using selected reaction monitoring (SRM). To maximize the sensitivity of this approach, sample fractionation or enrichment is still required, particularly to detect less abundant proteins in clinically relevant biofluids. Here, we report the development of multidimensional protein identification technology (MudPIT)-SRM, taking advantage of the robust online strong cation exchange chromatography for tryptic peptide fractionation and combining it with the multiplexed, quantitative attributes of SRM. The classical MudPIT method has been modified with an in-line strategy to introduce reference peptides onto the analytical column to enable quantitation at each salt step. Applying the MudPIT-SRM approach to profile abundant plasma proteins, we demonstrated mean increases in peak areas of almost 90% compared to conventional SRM. MudPIT-SRM analyses of low abundant proteins present in human wound fluid exudates similarly demonstrated increased peak areas and enabled the detection of proteins which were below the lower limit of detection when analyzed by conventional SRM. The MudPIT-SRM method is relatively facile to conduct and offers performance advantages to enhance sensitivity for biomarker studies.

SecDF as Part of the Sec-Translocase Facilitates Efficient Secretion of Bacillus cereus Toxins and Cell Wall-Associated Proteins

The aim of this study was to explore the role of SecDF in protein secretion in Bacillus cereus ATCC 14579 by in-depth characterization of a markerless secDF knock out mutant. Deletion of secDF resulted in pleiotropic effects characterized by a moderately slower growth rate, aberrant cell morphology, enhanced susceptibility to xenobiotics, reduced virulence and motility. Most toxins, including food poisoning-associated enterotoxins Nhe, Hbl, and cytotoxin K, as well as phospholipase C were less abundant in the secretome of the ΔsecDF mutant as determined by label-free mass spectrometry. Global transcriptome studies revealed profound transcriptional changes upon deletion of secDF indicating cell envelope stress. Interestingly, the addition of glucose enhanced the described phenotypes. This study shows that SecDF is an important part of the Sec-translocase mediating efficient secretion of virulence factors in the Gram-positive opportunistic pathogen B. cereus, and further supports the notion that B. cereus enterotoxins are secreted by the Sec-system.