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.

An Approach for Triplex-IPTL.

Isobaric peptide termini labeling (IPTL) is an approach for quantitative proteomics based on crosswise isotopic labeling of peptides at the N- and C-terminus. The labeling reagents are chosen in isotopic variations that the resulting mass of all labels per peptide is isobaric, but the individual label on each peptide terminus is different. Therefore, the quantitative difference of the peptide signal can be determined by the fragment ions of the corresponding MS2 spectra. Here, we describe an approach for triplex-IPTL to allow the comparison of three proteomes. This approach is based on digestion of the proteins by endoproteinase Lys-C, followed by three combinations of selective dimethylation of the peptide N-termini and subsequent dimethylation of the lysine residues at the C-termini. Data analysis is performed using Mascot for database searches and the freely available software package IsobariQ for quantification.

Predominant cleavage of proteins N-terminal to serines and threonines using scandium(III) triflate.

Proteolytic digestion prior to LC-MS analysis is a key step for the identification of proteins. Digestion of proteins is typically performed with trypsin, but certain proteins or important protein sequence regions might be missed using this endoproteinase. Only few alternative endoproteinases are available and chemical cleavage of proteins is rarely used. Recently, it has been reported that some metal complexes can act as artificial proteases. In particular, the Lewis acid scandium(III) triflate has been shown to catalyze the cleavage of peptide bonds to serine and threonine residues. Therefore, we investigated if this compound can also be used for the cleavage of proteins. For this purpose, several single proteins, the 20S immune-proteasome (17 proteins), and the Universal Proteomics Standard UPS1 (48 proteins) were analyzed by MALDI-MS and/or LC-MS. A high cleavage specificity N-terminal to serine and threonine residues was observed, but also additional peptides with deviating cleavage specificity were found. Scandium(III) triflate can be a useful tool in protein analysis as no other reagent has been reported yet which showed cleavage specificity within proteins to serines and threonines.

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.

Application of the half decimal place rule to increase the peptide identification rate.

RATIONALE: Many MS2 spectra in bottom-up proteomics experiments remain unassigned. To improve proteome coverage, we applied the half decimal place rule (HDPR) to remove non-peptidic molecules. The HDPR considers the ratio of the digits after the decimal point to the full molecular mass and results in a relatively small permitted mass window for most peptides. METHODS: First, the HDPR mass filter was calculated for the human and other proteomes. Subsequently, the HDPR was applied to three technical replicates of an in-solution tryptic digest of HeLa cells which were analysed by liquid chromatography/mass spectrometry (LC/MS) using a quadrupole-orbitrap mass spectrometer (Q Exactive). In addition, the same sample was analysed three times with a fixed exclusion list. The exclusion list was based on only choosing doubly charged ions for fragmentation. RESULTS: The peptide spectrum match (PSM) rate increased by 2-4% applying HDPR filters from 0.1-0.25 Da and 75-150 ppm, respectively. Excluding all MS2 events by applying an HDPR filter of doubly charged ions, we were able to improve PSMs by 0.9% and the PSM rate by 2.5%. CONCLUSIONS: An algorithm to filter precursors based on the HDPR was established to improve the targeting of the acquisition of MS2 spectra in data-dependent acquisition (DDA) experiments. According to our data, a total gain of PSMs of 1-5% might be achievable if the HPDR filter would already be applied during MS data acquisition. Copyright © 2016 John Wiley & Sons, Ltd.

The impact of carbon-13 and deuterium on relative quantification of proteins using stable isotope diethyl labeling.

RATIONALE: Stable isotopic labeling techniques are useful for quantitative proteomics. A cost-effective and convenient method for diethylation by reductive amination was established. The impact using either carbon-13 or deuterium on quantification accuracy and precision was investigated using diethylation. METHODS: We established an effective approach for stable isotope labeling by diethylation of amino groups of peptides. The approach was validated using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) and nanospray liquid chromatography/electrospray ionization (nanoLC/ESI)-ion trap/orbitrap for mass spectrometric analysis as well as MaxQuant for quantitative data analysis. RESULTS: Reaction conditions with low reagent costs, high yields and minor side reactions were established for diethylation. Furthermore, we showed that diethylation can be applied to up to sixplex labeling. For duplex experiments, we compared diethylation in the analysis of the proteome of HeLa cells using acetaldehyde-(13) C(2)/(12) C(2) and acetaldehyde-(2) H(4)/(1) H(4). Equal numbers of proteins could be identified and quantified; however, (13) C(4)/(12) C(4) -diethylation revealed a lower variance of quantitative peptide ratios within proteins resulting in a higher precision of quantified proteins and less falsely regulated proteins. The results were compared with dimethylation showing minor effects because of the lower number of deuteriums. CONCLUSIONS: The described approach for diethylation of primary amines is a cost-effective and accurate method for up to sixplex relative quantification of proteomes. (13) C(4)/(12) C(4) -diethylation enables duplex quantification based on chemical labeling without using deuterium which reduces identification of false-negatives and increases the quality of the quantification results.

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.

Sumoylation of Rap1 mediates the recruitment of TFIID to promote transcription of ribosomal protein genes.

Transcription factors are abundant Sumo targets, yet the global distribution of Sumo along the chromatin and its physiological relevance in transcription are poorly understood. Using Saccharomyces cerevisiae, we determined the genome-wide localization of Sumo along the chromatin. We discovered that Sumo-enriched genes are almost exclusively involved in translation, such as tRNA genes and ribosomal protein genes (RPGs). Genome-wide expression analysis showed that Sumo positively regulates their transcription. We also discovered that the Sumo consensus motif at RPG promoters is identical to the DNA binding motif of the transcription factor Rap1. We demonstrate that Rap1 is a molecular target of Sumo and that sumoylation of Rap1 is important for cell viability. Furthermore, Rap1 sumoylation promotes recruitment of the basal transcription machinery, and sumoylation of Rap1 cooperates with the target of rapamycin kinase complex 1 (TORC1) pathway to promote RPG transcription. Strikingly, our data reveal that sumoylation of Rap1 functions in a homeostatic feedback loop that sustains RPG transcription during translational stress. Taken together, Sumo regulates the cellular translational capacity by promoting transcription of tRNA genes and RPGs.

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.

Proteomic analysis of 14-3-3 zeta binding proteins in the mouse hippocampus.

14-3-3 proteins are ubiquitous molecular chaperones with important roles in brain development and neuronal function. Altered expression of 14-3-3 proteins has been reported in several neurologic and neurodegenerative disorders and identifying 14-3-3 binding proteins may provide important insights into the physiologic and pathophysiologic roles of these proteins. Particular interest has emerged on 14-3-3 zeta (ζ) in the setting of neuronal injury because reducing 14-3-3ζ levels triggers an endoplasmic reticulum stress-like response in neurons and increases vulnerability to excitotoxicity. Here we examined the subcellular distribution of 14-3-3ζ in the mouse hippocampus. We then used recombinant His-tagged 14-3-3ζ to pull-down interacting proteins from the mouse hippocampus followed by identification by liquid chromatography-mass spectrometry. 14-3-3ζ protein was present in the cytoplasm, microsomal compartment, nucleus and mitochondrial fractions of the mouse hippocampus. Recombinant 14-3-3ζ eluted 13 known 14-3-3 binding partners, including three other 14-3-3 isoforms, and 16 other proteins which have not previously been reported to bind 14-3-3ζ. The present study identifies potentially novel 14-3-3ζ binding proteins and contributes to defining the 14-3-3ζ interactome in the mouse brain.

A rapid approach for isobaric peptide termini labeling.

Isobaric peptide termini labeling (IPTL) is a recently introduced approach to the chemical labeling of peptides with isotopic reagents. Peptides derived from two different samples are labeled at the N terminus and at the C terminus with isotopically labeled reagents that have identical mass differences. To obtain isobaric peptides, labeling is carried out such that the introduced mass increase at one terminus will exactly match the mass decrease at the other terminus (and the other way around). This results in product ion spectra that display the quantitative difference of the peptide signal derived from the two samples for every b-ion and y-ion in the spectrum. The original IPTL approach required the selective modification of lysines followed by C-18 micropurification of modified peptides and reaction of the N termini. Here, we describe a new approach for IPTL that is based on the selective modification of the peptide N termini with succinic anhydride and subsequent reductive amination of C-terminal lysines with formaldehyde and cyanoborohydride. Both reactions can be carried out in one pot within 10 min and without C-18 micropurification. In addition, we present the software package IsobariQ for straightforward data analysis.

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.

IsobariQ: software for isobaric quantitative proteomics using IPTL, iTRAQ, and TMT.

Isobaric peptide labeling plays an important role in relative quantitative comparisons of proteomes. Isobaric labeling techniques utilize MS/MS spectra for relative quantification, which can be either based on the relative intensities of reporter ions in the low mass region (iTRAQ and TMT) or on the relative intensities of quantification signatures throughout the spectrum due to isobaric peptide termini labeling (IPTL). Due to the increased quantitative information found in MS/MS fragment spectra generated by the recently developed IPTL approach, new software was required to extract the quantitative information. IsobariQ was specifically developed for this purpose; however, support for the reporter ion techniques iTRAQ and TMT is also included. In addition, to address recently emphasized issues about heterogeneity of variance in proteomics data sets, IsobariQ employs the statistical software package R and variance stabilizing normalization (VSN) algorithms available therein. Finally, the functionality of IsobariQ is validated with data sets of experiments using 6-plex TMT and IPTL. Notably, protein substrates resulting from cleavage by proteases can be identified as shown for caspase targets in apoptosis.

Proteome analysis of microtubule-associated proteins and their interacting partners from mammalian brain.

The microtubule (MT) cytoskeleton is essential for a variety of cellular processes. MTs are finely regulated by distinct classes of MT-associated proteins (MAPs), which themselves bind to and are regulated by a large number of additional proteins. We have carried out proteome analyses of tubulin-rich and tubulin-depleted MAPs and their interacting partners isolated from bovine brain. In total, 573 proteins were identified giving us unprecedented access to brain-specific MT-associated proteins from mammalian brain. Most of the standard MAPs were identified and at least 500 proteins have been reported as being associated with MTs. We identified protein complexes with a large number of subunits such as brain-specific motor/adaptor/cargo complexes for kinesins, dynein, and dynactin, and proteins of an RNA-transporting granule. About 25% of the identified proteins were also found in the synaptic vesicle proteome. Analysis of the MS/MS data revealed many posttranslational modifications, amino acid changes, and alternative splice variants, particularly in tau, a key protein implicated in Alzheimer's disease. Bioinformatic analysis of known protein-protein interactions of the identified proteins indicated that the number of MAPs and their associated proteins is larger than previously anticipated and that our database will be a useful resource to identify novel binding partners.