Comparison of LFQ and IPTL for Protein Identification and Relative Quantification.

(1) Background: Mass spectrometry-based quantitative proteome profiling is most commonly performed by label-free quantification (LFQ), stable isotopic labeling with amino acids in cell culture (SILAC), and reporter ion-based isobaric labeling methods (TMT and iTRAQ). Isobaric peptide termini labeling (IPTL) was described as an alternative to these methods and is based on crosswise labeling of both peptide termini and MS2 quantification. High quantification accuracy was assumed for IPTL because multiple quantification points are obtained per identified MS2 spectrum. A direct comparison of IPTL with other quantification methods has not been performed yet because IPTL commonly requires digestion with endoproteinase Lys-C. (2) Methods: To enable tryptic digestion of IPTL samples, a novel labeling for IPTL was developed that combines metabolic labeling (Arg-0/Lys-0 and Arg-d4/Lys-d4, respectively) with crosswise N-terminal dimethylation (d4 and d0, respectively). (3) Results: The comparison of IPTL with LFQ revealed significantly more protein identifications for LFQ above homology ion scores but not above identity ion scores. (4) Conclusions: The quantification accuracy was superior for LFQ despite the many quantification points obtained with IPTL.

Identification of Alternative Splice Variants Using Unique Tryptic Peptide Sequences for Database Searches.

Alternative splicing is a mechanism in eukaryotes by which different forms of mRNAs are generated from the same gene. Identification of alternative splice variants requires the identification of peptides specific for alternative splice forms. For this purpose, we generated a human database that contains only unique tryptic peptides specific for alternative splice forms from Swiss-Prot entries. Using this database allows an easy access to splice variant-specific peptide sequences that match to MS data. Furthermore, we combined this database without alternative splice variant-1-specific peptides with human Swiss-Prot. This combined database can be used as a general database for searching of LC-MS data. LC-MS data derived from in-solution digests of two different cell lines (LNCaP, HeLa) and phosphoproteomics studies were analyzed using these two databases. Several nonalternative splice variant-1-specific peptides were found in both cell lines, and some of them seemed to be cell-line-specific. Control and apoptotic phosphoproteomes from Jurkat T cells revealed several nonalternative splice variant-1-specific peptides, and some of them showed clear quantitative differences between the two states.

Consolidation of proteomics data in the Cancer Proteomics database.

Cancer is a class of diseases characterized by abnormal cell growth and one of the major reasons for human deaths. Proteins are involved in the molecular mechanisms leading to cancer, furthermore they are affected by anti-cancer drugs, and protein biomarkers can be used to diagnose certain cancer types. Therefore, it is important to explore the proteomics background of cancer. In this report, we developed the Cancer Proteomics database to re-interrogate published proteome studies investigating cancer. The database is divided in three sections related to cancer processes, cancer types, and anti-cancer drugs. Currently, the Cancer Proteomics database contains 9778 entries of 4118 proteins extracted from 143 scientific articles covering all three sections: cell death (cancer process), prostate cancer (cancer type) and platinum-based anti-cancer drugs including carboplatin, cisplatin, and oxaliplatin (anti-cancer drugs). The detailed information extracted from the literature includes basic information about the articles (e.g., PubMed ID, authors, journal name, publication year), information about the samples (type, study/reference, prognosis factor), and the proteomics workflow (Subcellular fractionation, protein, and peptide separation, mass spectrometry, quantification). Useful annotations such as hyperlinks to UniProt and PubMed were included. In addition, many filtering options were established as well as export functions. The database is freely available at http://cancerproteomics.uio.no.

Identification of prostate cancer biomarkers in urinary exosomes.

Exosomes have recently appeared as a novel source of non-invasive cancer biomarkers since tumour-specific molecules can be found in exosomes isolated from biological fluids. We have here investigated the proteome of urinary exosomes by using mass spectrometry to identify proteins differentially expressed in prostate cancer patients compared to healthy male controls. In total, 15 control and 16 prostate cancer samples of urinary exosomes were analyzed. Importantly, 246 proteins were differentially expressed in the two groups. The majority of these proteins (221) were up-regulated in exosomes from prostate cancer patients. These proteins were analyzed according to specific criteria to create a focus list that contained 37 proteins. At 100% specificity, 17 of these proteins displayed individual sensitivities above 60%. Even though several of these proteins showed high sensitivity and specificity for prostate cancer as individual biomarkers, combining them in a multi-panel test has the potential for full differentiation of prostate cancer from non-disease controls. The highest sensitivity, 94%, was observed for transmembrane protein 256 (TM256; chromosome 17 open reading frame 61). LAMTOR proteins were also distinctly enriched with very high specificity for patient samples. TM256 and LAMTOR1 could be used to augment the sensitivity to 100%. Other prominent proteins were V-type proton ATPase 16 kDa proteolipid subunit (VATL), adipogenesis regulatory factor (ADIRF), and several Rab-class members and proteasomal proteins. In conclusion, this study clearly shows the potential of using urinary exosomes in the diagnosis and clinical management of prostate cancer.

Quantitative profiling of tyrosine phosphorylation revealed changes in the activity of the T cell receptor signaling pathway upon cisplatin-induced apoptosis.

In order to better understand the cellular responses to the chemotherapeutic drug cisplatin and the mechanisms leading to apoptosis and potential side effects, we performed a SILAC-based quantitative phosphotyrosine analysis of Jurkat T cells exposed to cisplatin. Signaling molecules in the T cell receptor (TCR) pathway were enriched among proteins displaying reduced phosphorylation levels. The results were verified by immunoblotting and/or phospho-flow cytometry for a selected set of proteins, including the tyrosine kinases Lck and Zap70, and downstream targets Itk, Plcγ1 and Erk. In contrast to the effects on the T cell signaling pathways, the dually phosphorylated form of p38α MAPK was increased in treated cells, and activation of this signaling pathway was verified by immunoblot analysis of phosphorylation levels of p38α MAPK and the downstream targets Atf2 and MAPKAPK2. Activation of the p38α MAPK signaling pathway has been suggested to be one of the main mechanisms by which cisplatin induces apoptosis. Our results indicate that cisplatin may reduce the activity of proteins involved in the TCR signaling pathway, which has an important role in regulating proliferation of T cells, and may contribute to explain previous observations where cisplatin has been reported to inhibit proliferation of T cells. BIOLOGICAL SIGNIFICANCE: In this study, a quantitative phosphotyrosine analysis was performed to identify changes of the phosphoproteome during exposure of Jurkat T cells by cisplatin. The results of the phosphoproteome analysis were complemented with immunoblotting and temporal phospho-flow analysis. An initial activation of the p38α MAPK signaling pathway was detected at early time points of cisplatin treatment, a response previously suggested to be part of the mechanism by which cisplatin induces apoptosis. Furthermore, reduced phosphorylation levels of proteins involved in signaling downstream of the TCR during apoptosis were found by the phosphotyrosine proteome analysis. Our study can support to elucidate the mechanism behind the previously observed immunosuppressive effect of cisplatin.

An approach for triplex-isobaric peptide termini labeling (triplex-IPTL).

Isobaric peptide termini labeling (IPTL) is based on labeling of both peptide termini with complementary isotopic labels resulting in isobaric peptides. MS/MS analysis after IPTL derivatization produces peptide-specific fragment ions which are distributed throughout the MS/MS spectrum. Thus, several quantification points can be obtained per peptide. In this report, we present triplex-IPTL, a chemical labeling strategy for IPTL allowing the simultaneous quantification of three states within one MS run. For this purpose, dimethylation of the N-terminal amino group followed by dimethylation of lysines was used with different stable isotopes of formaldehyde and cyanoborohydride. Upon LC-MS/MS analysis, the combined samples revealed three corresponding isotopic fragment ion series reflecting quantitatively the peptide ratios. To support this multiplexing labeling strategy, we have further developed the data analysis tool IsobariQ and included multidimensional VSN normalization, statistical inference, and graphical visualization of triplex-IPTL data and clustering of protein profiling patterns. The power of the triplex-IPTL approach in combination with IsobariQ was demonstrated through temporal profiling of HeLa cells incubated with the kinesin Eg5 inhibitor S-Trityl-l-cysteine (STLC). As a result, clusters of quantified proteins were found by their ratio profiles which corresponded well to their gene ontology association in mitotic arrest and cell death, respectively.

High resolution quantitative proteomics of HeLa cells protein species using stable isotope labeling with amino acids in cell culture(SILAC), two-dimensional gel electrophoresis(2DE) and nano-liquid chromatograpohy coupled to an LTQ-OrbitrapMass spectrometer.

The proteomics field has shifted over recent years from two-dimensional gel electrophoresis (2-DE)-based approaches to SDS-PAGE or gel-free workflows because of the tremendous developments in isotopic labeling techniques, nano-liquid chromatography, and high-resolution mass spectrometry. However, 2-DE still offers the highest resolution in protein separation. Therefore, we combined stable isotope labeling with amino acids in cell culture of controls and apoptotic HeLa cells with 2-DE and the subsequent analysis of tryptic peptides via nano-liquid chromatography coupled to an LTQ-Orbitrap mass spectrometer to obtain quantitative data using the methods with the highest resolving power on all levels of the proteomics workflow. More than 1,200 proteins with more than 2,700 protein species were identified and quantified from 816 Coomassie Brilliant Blue G-250 stained 2-DE spots. About half of the proteins were identified and quantified only in single 2-DE spots. The majority of spots revealed one to five proteins; however, in one 2-DE spot, up to 23 proteins were identified. Only half of the 2-DE spots represented a dominant protein with more than 90% of the whole protein amount. Consequently, quantification based on staining intensities in 2-DE gels would in approximately half of the spots be imprecise, and minor components could not be quantified. These problems are circumvented by quantification using stable isotope labeling with amino acids in cell culture. Despite challenges, as shown in detail for lamin A/C and vimentin, the quantitative changes of protein species can be detected. The combination of 2-DE with high-resolution nano-liquid chromatography-mass spectrometry allowed us to identify proteomic changes in apoptotic cells that would be unobservable using any of the other previously employed proteomic workflows.

Comparison of data analysis parameters and MS/MS fragmentation techniques for quantitative proteome analysis using isobaric peptide termini labeling (IPTL).

Isobaric peptide termini labeling (IPTL) is a quantification method which permits relative quantification using quantification points distributed throughout the whole tandem mass spectrometry (MS/MS) spectrum. It is based on the complementary derivatization of peptide termini with different isotopes resulting in isobaric peptides. Here, we use our recently developed software package IsobariQ to investigate how processing and data analysis parameters can improve IPTL data. Deisotoping provided cleaner MS/MS spectra and improved protein identification and quantification. Denoising should be used with caution because it may remove highly regulated ion pairs. An outlier detection algorithm on the ratios within every individual MS/MS spectrum was beneficial in removing false-positive quantification points. MS/MS spectra using IPTL typically contain two peptide series with complementary labels resulting in lower Mascot ion scores than non-labeled equivalent peptides. To avoid this penalty, the two chemical modifications for IPTL were specified as variables including satellite neutral losses of tetradeuterium with positive loss for the heavy isotopes and negative loss for the light isotopes. Thus, the less dominant complementary ion series were not considered for the scoring, which improved the ion scores significantly. In addition, we showed that IPTL was suitable for fragmentation by electron transfer dissociation (ETD) and higher energy collisionally activated dissociation (HCD) besides the already reported collision-induced dissociation (CID). Notably, ETD and HCD data can be identified and quantified using IsobariQ. ETD outperformed CID and HCD only for charge states ≥4+ but yielded in total fewer protein identifications and quantifications. In contrast, the high-resolution information of HCD fragmented peptides provided most identification and quantification results using the same scan speed.

Quantitative proteome analysis using isobaric peptide termini labeling (IPTL).

The quantitative comparison of proteome level changes across biological samples has become an essential feature in proteomics that remains challenging. We have recently introduced isobaric peptide termini labeling (IPTL), a novel strategy for isobaric quantification based on the derivatization of peptide termini with complementary isotopically labeled reagents. Unlike non-isobaric quantification methods, sample complexity at the MS level is not increased, providing improved sensitivity and protein coverage. The distinguishing feature of IPTL when comparing it to more established isobaric labeling methods (iTRAQ and TMT) is the presence of quantification signatures in all sequence-determining ions in MS/MS spectra, not only in the low mass reporter ion region. This makes IPTL a quantification method that is accessible to mass spectrometers with limited capabilities in the low mass range. Also, the presence of several quantification points in each MS/MS spectrum increases the robustness of the quantification procedure.

Isobaric peptide termini labeling utilizing site-specific N-terminal succinylation.

Recently, we introduced a novel approach for protein quantification based on isobaric peptide termini labeling (IPTL). In IPTL, both peptide termini are dervatized in two separate chemical reactions with complementary isotopically labeled reagents to generate isobaric peptide pairs. Here, we describe a novel procedure for the two chemical reactions to enable a cost-effective and rapid method. We established a selective N-terminal peptide modification reaction using succinic anhydride. Dimethylation was used as second chemical reaction to derivatize lysine residues. Both reactions can be performed within 15 min in one pot, and micropurification of the peptides between the two reactions was not necessary. For data analysis, we developed the force-find algorithm in IsobariQ which searches for corresponding peaks to build up peak pairs in tandem mass spectrometry (MS/MS) spectra where Mascot could not identify opposite sequences. Utilizing force-find, the number of quantified proteins was improved by more than 50% in comparison to the standard data analysis in IsobariQ. This was applied to compare the proteome of HeLa cells incubated with S-trityl-L-cysteine (STLC) to induce mitotic arrest and apoptosis. More than 50 proteins were found to be quantitatively changed, and most of them were previously reported in other proteome analyses of apoptotic cells. Furthermore, we showed that the two complementary isotopic labels coelute during liquid chromatography (LC) separation and that the linearity of relative IPTL quantification is not affected by a complex protein background. Combining the optimized reactions for IPTL with the open source data analysis software IsobariQ including force-find, we present a straightforward and rapid approach for quantitative proteomics.

Quantitative proteome analysis of the 20S proteasome of apoptotic Jurkat T cells.

Regulated proteolysis plays important roles in cell biology and pathological conditions. A crosstalk exists between apoptosis and the ubiquitin-proteasome system, two pathways responsible for regulated proteolysis executed by different proteases. To investigate whether the apoptotic process also affects the 20S proteasome, we performed three independent SILAC-based quantitative proteome approaches: 1-DE/MALDI-MS, small 2-DE/MALDI-MS and large 2-DE/nano-LC-ESI-MS. Taking the results of all experiments together, no quantitative changes were observed for the α- and ß-subunits of the 20S proteasome except for subunit α7. This protein was identified in two protein spots with a down-regulation of the more acidic protein species (α7a) and up-regulation of the more basic protein species (α7b) during apoptosis. The difference in these two α7 protein species could be attributed to oxidation of cysteine-41 to cysteine sulfonic acid and phosphorylation at serine-250 near the C terminus in α7a, whereas these modifications were missing in α7b. These results pointed to the biological significance of posttranslational modifications of proteasome subunit α7 after induction of apoptosis.

The preferred substrates for transglutaminase 2 in a complex wheat gluten digest are Peptide fragments harboring celiac disease T-cell epitopes.

BACKGROUND: Celiac disease is a T-cell mediated chronic inflammatory disorder of the gut that is induced by dietary exposure to gluten proteins. CD4+ T cells of the intestinal lesion recognize gluten peptides in the context of HLA-DQ2.5 or HLA-DQ8 and the gluten derived peptides become better T-cell antigens after deamidation catalyzed by the enzyme transglutaminase 2 (TG2). In this study we aimed to identify the preferred peptide substrates of TG2 in a heterogeneous proteolytic digest of whole wheat gluten. METHODS: A method was established to enrich for preferred TG2 substrates in a complex gluten peptide mixture by tagging with 5-biotinamido-pentylamine. Tagged peptides were isolated and then identified by nano-liquid chromatography online-coupled to tandem mass spectrometry, database searching and final manual data validation. RESULTS: We identified 31 different peptides as preferred substrates of TG2. Strikingly, the majority of these peptides were harboring known gluten T-cell epitopes. Five TG2 peptide substrates that were predicted to bind to HLA-DQ2.5 did not contain previously characterized sequences of T-cell epitopes. Two of these peptides elicited T-cell responses when tested for recognition by intestinal T-cell lines of celiac disease patients, and thus they contain novel candidate T-cell epitopes. We also found that the intact 9mer core sequences of the respective epitopes were not present in all peptide substrates. Interestingly, those epitopes that were represented by intact forms were frequently recognized by T cells in celiac disease patients, whereas those that were present in truncated versions were infrequently recognized. CONCLUSION: TG2 as well as gastrointestinal proteolysis play important roles in the selection of gluten T-cell epitopes in celiac disease.

Quantitative proteome analysis of detergent-resistant membranes identifies the differential regulation of protein kinase C isoforms in apoptotic T cells.

Several lines of evidence suggest that detergent-resistant membranes (DRMs) (also known as lipid rafts and glycosphingolipid-enriched microdomains) may have a role in signaling pathways of apoptosis. Here, we developed a method that combines DRMs isolation and methanol/chloroform extraction with stable isotope labeling with amino acids in cell culture-based quantitative proteome analysis of DRMs from control and cisplatin-induced apoptotic Jurkat T cells. This approach enabled us to enrich proteins with a pivotal role in cell signaling of which several were found with increased or decreased amounts in DRMs upon induction of apoptosis. Specifically, we show that three isoforms of protein kinase C (PKC) are regulated differently upon apoptosis. Although PKC alpha which belongs to the group of conventional PKCs is highly up-regulated in DRMs, the levels of two novel PKCs, PKC eta and PKC theta, are significantly reduced. These alterations/differences in PKC regulation are verified by immunoblotting and confocal microscopy. In addition, a specific enrichment of PKC alpha in apoptotic blebs and buds is shown. Furthermore, we observe an increased expression of ecto-PKC alpha as a result of exposure to cisplatin using flow cytometry. Our results demonstrate that in-depth proteomic analysis of DRMs provides a tool to study differential localization and regulation of signaling molecules important in health and disease.

Isobaric peptide termini labeling for MS/MS-based quantitative proteomics.

Since its introduction, isobaric peptide labeling has played an important role in relative quantitative comparisons of proteomes. This paper describes isobaric peptide termini labeling (IPTL), a novel approach for the identification and quantification of two differentially labeled states using MS/MS spectra. After endoproteinase Lys-C digestion, peptides were labeled at C-terminal lysine residues with either 2-methoxy-4,5-dihydro-1H-imidazole (MDHI) or with tetradeuterated MDHI-d(4). Subsequently, their N-termini were derivatized either with tetradeuterated succinic anhydride (SA-d(4)) or with SA. The mixed isotopic labeling results in isobaric masses and provided several quantification data points per peptide. The suitability of this approach is demonstrated with MS and MS/MS analyses of Lys-C digests of standard proteins. A conceptually simple quantification strategy with a dynamic range of 25 is achieved through the use of Mascot score ratios. The utility of IPTL for the analysis of proteomes was verified by comparing the well-characterized effect of the antimitotic inhibitor S-Trityl-l-Cysteine (STLC) on HeLa cells that were treated for either 24 or 48 h with the inhibitor. Many apoptosis-linked proteins were identified as being differentially regulated, confirming the suitability of IPTL for the analysis of complex proteomes.