A Glycosidic-Bond-Based Mass-Spectrometry-Cleavable Cross-linker Enables In Vivo Cross-linking for Protein Complex Analysis.

Chemical cross-linking mass spectrometry (CXMS) has emerged as a powerful technology to analyze protein complexes. However, the progress of in vivo CXMS studies has been limited by cross-linking biocompatibility and data analysis. Herein, a glycosidic bond-based MS-cleavable cross-linker of trehalose disuccinimidyl ester (TDS) was designed and synthesized, which was fragmented in MS under CID/HCD to simplify the cross-linked peptides into conventional single peptides via selective cleavage between glycosidic and peptide bonds under individual MS collision energy. Consequently, the cross-linking identification accuracy and throughput were significantly enhanced, and the popular MS mode of stepped HCD was allowed. In addition, TDS showed proper cell-penetrating properties while being highly water-soluble, making it non-DMSO dependent during solubilization. Collectively, TDS provides a promising toolkit for CXMS characterization of living systems with high biocompatibility and accuracy.

ComMap: a software to perform large-scale structure-based mapping for cross-linking mass spectrometry.

MOTIVATION: Chemical cross-linking combined with mass spectrometry (CXMS) is now a well-established method for profiling existing protein-protein interactions (PPIs) with partially known structures. It is expected to map the results of CXMS with existing structure databases to study the protein dynamic profile in the structure analysis. However, currently available structure-based analysis software suffers from the difficulty of achieving large-scale analysis. Besides, it is infeasible for structure analysis and data mining on a large scale, since of lacking global measurement of dynamic structure mapping results. RESULTS: ComMap (protein complex structure mapping) is a software designed to perform large-scale structure-based mapping by integrating CXMS data with existing structures. It allows complete the distance calculation of PPIs with existing structures in batch within minutes and provides scores for different PPI-structure pairs of testable hypothetical structural dynamism via a global view. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

SpotLink enables sensitive and precise identification of site nonspecific cross-links at the proteome scale.

Nonspecific cross-linker can provide distance restraints between surface residues of any type, which could be used to investigate protein structure construction and protein-protein interaction (PPI). However, the vast number of potential combinations of cross-linked residues or sites obtained with such a cross-linker makes the data challenging to analyze, especially for the proteome-wide applications. Here, we developed SpotLink software for identifying site nonspecific cross-links at the proteome scale. Contributed by the dual pointer dynamic pruning algorithm and the quality control of cross-linking sites, SpotLink identified > 3000 cross-links from human cell samples within a short period of days. We demonstrated that SpotLink outperformed other approaches in terms of sensitivity and precision on the datasets of the simulated succinimidyl 4,4'-azipentanoate dataset and the condensin complexes with known structures. In addition, some valuable PPI were discovered in the datasets of the condensin complexes and the HeLa dataset, indicating the unique identification advantages of site nonspecific cross-linking. These findings reinforce the importance of SpotLink as a fundamental characteristic of site nonspecific cross-linking technologies.

Accurate discrimination of leucine and isoleucine residues by combining continuous digestion with multiple MS3 spectra integration in protein sequence.

Protein de novo sequencing based on tandem mass spectrometry is a crucial technology that enables the identification of peptides without searching databases and assembling unknown sequence proteins, especially for monoclonal antibodies (mAbs). However, the discrimination of leucine (Leu) and isoleucine (Ile) residues in the target protein sequence is still challenging. Herein, we developed an accurate method by continuous digestion with MS3-based fragmentation and multiple spectra integration (evaluated by combined verification score, CVS) to distinguish Leu and Ile residues. Continuous digestion promotes the diversity of peptides in order to expose more Leu and Ile at the N-terminal. CVS integrates multiple MS3 spectra to reduce the interference from noise and co-fragmented ions and improve accuracy. This method successfully resolved all 75 Leu/Ile in bovine serum albumin, especially 3 consecutive Leu/Ile. We further applied the method to analyze trastuzumab and 67 out of the 68 Leu/Ile from the light chain and heavy chain were accurately discriminated, demonstrating the great potential in mAbs sequencing.

A1 Ions: Peptide-Specific and Intensity-Enhanced Fragment Ions for Accurate and Multiplexed Proteome Quantitation.

Accurate proteome quantitation is of great significance to deeply understand various cellular and physiological processes. Since a1 ions, generated from dimethyl-labeled peptides, exhibited high formation efficiency (up to 99%) and enhanced intensities (2.34-fold by average) in tandem mass spectra, herein, we proposed an a1 ion-based proteome quantitation (APQ) method, which showed high quantitation accuracy (relative errors < 7%) and precision (median coefficients of variation ≤ 11%) even in a 20-fold dynamic range. Notably, due to the mass differences of a1 ions from peptides with different N-terminal amino acids, APQ demonstrated interference-free capacity by distinguishing target peptides from the coisolated ones. By designing an isobaric dimethyl labeling strategy, we achieved simultaneous proteome-wide measurements across up to eight samples. Using APQ to quantify the time-resolved proteomic profiles during a TGF-ß-induced epithelial-mesenchymal transition, we found many differentially expressed proteins associated with fatty acid degradation, indicating that fatty acid metabolism reprogramming occurred during the process. The APQ method combines high quantitation accuracy with multiplexing capacity, which is suitable for deep mining and understanding of dynamic biological processes.

All-Ion Monitoring-Directed Low-Abundance Protein Quantification Reveals CALB2 as a Key Promoter in Hepatocellular Carcinoma Metastasis.

Because of the wide abundance range of the proteome, achieving high-coverage quantification of low-abundance proteins is always a major challenge. In this study, a complete pipeline focused on all-ion monitoring (AIM) is first constructed with the concept of untargeted parallel-reaction monitoring, including the seamless connection of protein sample preparation, liquid chromatography mass spectrometry (LC-MS) acquisition, and algorithm development to enable the in-depth quantitative analysis of low-abundance proteins. This pipeline significantly improves the reproducibility and sensitivity of sample preparation and LC-MS acquisition for low-abundance proteins, enabling all the precursors ions fragmented and collected. Contributed by the advantages of the AIM method with all the target precursor acquisition by the data-dependent acquisition (DDA) approach, together with the ability of data-independent acquisition to fragment all precursor ions, the quantitative accuracy and precision of low-abundance proteins are greatly enhanced. As a proof of concept, this pipeline is employed to discover the key differential proteins in the mechanism of hepatocellular carcinoma (HCC) metastasis. On the basis of the superiority of AIM, an extremely low-abundance protein, CALB2, is proposed to promote HCC metastasis in vitro and in vivo. We also reveal that CALB2 activates the TRPV2-Ca2+-ERK1/2 signaling pathway to induce HCC cell metastasis. In summary, we provide a universal AIM pipeline for the high-coverage quantification of low-abundance functional proteins to seek novel insights into the mechanisms of cancer metastasis.

Multi-omics analysis to reveal disorders of cell metabolism and integrin signaling pathways induced by PM2.5.

Atmospheric fine particle pollution is known to cause many adverse health effects. However, the potential mechanisms of PM2.5-induced cytotoxicity still needs further understanding. Herein, we integrated cytotoxicity, component profiling, metabolomics and proteomics data to deeply explain the biological responses of human bronchial epithelial cells exposed to PM2.5. We observed that PM2.5 caused cell cycle arrest, calcium influx, cell damage and further induced cell apoptosis. The contents of heavy metals and 4-6 rings PAHs in PM2.5 were positively correlated with intracellular ROS, indicating that they might be the important components to induce the above cytotoxicity. Integrated metabolomics and proteomics analysis revealed the significant alterations of many metabolic processes, such as glycolysis, the citric acid cycle, amino acid metabolism and lipid metabolism. Notably, we found that PM2.5 inhibited the integrin signaling pathway, including down-regulating the protein expression of integrins and the phosphorylation of downstream signaling kinases, which might ultimately affect cell cycle progression, cell metabolism and apoptosis. This study provided a comprehensive data resource for the deep understanding of biological toxicity mechanisms caused by atmospheric fine particles in human lung-bronchial epithelium cells.

Antibody-free enrichment method for proteome-wide analysis of endogenous SUMOylation sites.

SUMOylation is a reversible post-translational modification that plays crucial roles in numerous cellular processes. Although anti-SUMO antibodies have been applied to analyze exogenous and endogenous SUMOylation, such immunoprecipitation enrichment strategy is applicable only for the enrichment of one specific SUMO type in mammalian cells, unable to map the global landscape of all endogenous SUMOylation simultaneously. To address this issue, we proposed an antibody-free strategy to enrich and profile endogenous SUMO1/2/3-modified peptides simultaneously. Upon trypsin digestion, the SUMO1- and SUMO2/3-modified peptides contained SUMO remnants with 7 and 9 acidic amino acids respectively, which carried more negative charges at high pH and could interact with strong anion exchange (SAX) materials more strongly than non-SUMOylated peptides, thus enabling the specific enrichment of endogenous SUMOylated peptides. Followed by the secondary digestion with Asp-N/Glu-C to generate smaller SUMOylated peptides with proper length for MS identification, off-line high-pH C18 pre-fractionation and low pH nanoRPLC-ESI-MS/MS analysis, 177 SUMO1-modified sites and 74 SUMO2/3-modified sites were unbiasedly identified in HeLa cell lysate. To the best of our knowledge, this was the first antibody-free strategy to comprehensively profile various endogenous SUMOylation sites, demonstrating the great potential in the comprehensive analysis of endogenous SUMOylation across various species and organs, which might further facilitate the understanding of SUMO's function in physiology and pathology.

Sequential amidation of peptide C-termini for improving fragmentation efficiency.

Owing to the poor fragmentation efficiency caused by the lack of a positively charged basic group at the C-termini of peptides, the identification of nontryptic peptides in classical proteomics is known to be less efficient. Particularly, attaching positively charged basic groups to C-termini via chemical derivatizations is known to be able to enhance their fragmentation efficiency. In this study, we introduced a novel strategy, C-termini sequential amidation reaction (CSAR), to improve peptide fragmentation efficiency. By this strategy, C-terminal and side-chain carboxyl groups were firstly amidated by neutral methylamine (MA), and then C-terminal amide bonds were selectively deamidated through peptide amidase while side-chain amide bonds remained unchanged, followed by the secondary amidation of C-termini via basic agmatine (AG). We optimized the amidation reaction conditions to achieve the MA derivatization efficiency of >99% for side-chain carboxyl groups and AG derivatization efficiency of 80% for the hydrolytic C-termini. We applied CSAR strategy to identify bovine serum albumin (BSA) chymotryptic digests, resulting in the increased fragmentation efficiencies (improvement by 9-32%) and charge states (improvement by 39-52%) under single or multiple dissociation modes. The strategy described here might be a promising approach for the identification of peptides that suffered from poor fragmentation efficiency.

Carboxypeptidase B-Assisted Charge-Based Fractional Diagonal Chromatography for Deep Screening of C-Terminome.

The determination of protein C-termini is of great significance for protein function annotation and proteolysis research. However, the progress of C-terminomics is still far behind its counterpart, N-terminomics, because of the low reactivity of the carboxyl group. Herein, we developed a negative selection strategy, termed carboxypeptidase B-assisted charge-based fractional diagonal chromatography (CPB-ChaFRADIC), to achieve a global C-terminome analysis. The highly reactive carboxypeptidase B cleavage was utilized to reduce the charge state of non-C-terminal peptides. Together with high-performance charge-based fractional diagonal chromatography, the C-terminal peptides could be isolated. Such a strategy was applied for profiling C-termini from Escherichia coli cell lysates and 441 canonical C-termini and 510 neo-C-termini originating from proteolytic processing were identified. These findings represent 2-fold and 5.8-fold that of identified C-termini via direct analysis, respectively. Using parallel digestion with trypsin and LysC, such a strategy enabled the identification of 604 canonical C-termini and 818 neo-C-termini, representing the largest C-terminome data set of E. coli, and no deficiency in His/Lys/Arg-containing C-terminal peptides was observed. The presented CPB-ChaFRADIC strategy is therefore a highly efficient and unbiased strategy for large-scale C-terminome analysis. Furthermore, using the CPB-ChaFRADIC strategy, we identified 107 cleavage sites and 102 substrates of caspase-3 in Jurkat cells, demonstrating that the CPB-ChaFRADIC strategy shows great promise in promoting proteolysis research. Data are available via ProteomeXchange with identifier PXD018520.

Combination of continuous digestion by peptidase and spectral similarity comparisons for peptide sequencing.

Peptide sequencing is critical to the quality control of peptide drugs and functional studies of active peptides. A combination of peptidase digestion and mass spectrometry technology is common for peptide sequencing. However, such methods often cannot obtain the complete sequence of a peptide due to insufficient amino acid sequence information. Here, we developed a method of generating full peptide ladders and comparing their MS2 spectral similarities. The peptide ladders, of which each component was different from the next component with one residue, were generated by continuous digestion by peptidase (carboxypeptidase Y and aminopeptidase). Then, based on the characteristics of peptide ladders, complete sequencing was realized by comparing MS2 spectral similarity of the generated peptide ladders. The complete amino acid sequences of bivalirudin, adrenocorticotropic hormone, and oxytocin were determined with high accuracy. This approach is beneficial to the quality control of drug peptides as well as the identification of novel bioactive peptides.

Smart Cutter: An Efficient Strategy for Increasing the Coverage of Chemical Cross-Linking Analysis.

Chemical cross-linking combined with mass spectrometry (CXMS) has emerged as a powerful tool to study protein structure, conformation, and protein-protein interactions (PPIs). Until now, most cross-linked peptides were generated by using commercial cross-linkers, such as DSS, BS3, and DSSO, which react with the primary amino groups of the lysine residues of proteins. However, trypsin, the most commonly used proteolytic enzyme, cannot cleave the C-terminus of a linked lysine, making the obtained cross-linked peptides longer than common peptides and unfavorable for MS identification and data searching. Herein, we propose an in situ sequential digestion strategy using enzymes with distinct cleavage specificity, named as smart cutter, to generate cross-linked peptides with suitable length so that the identification coverage could improve. Through the application of such a strategy to DSS cross-linked E. coli lysates, additional cross-linked sites (1.3-fold increase) obtained in comparison with those obtained by trypsin-trypsin digestion (2879 vs 1255). Among the different digestion combinations, AspN-trypsin performed the best, with 64% (673/1059) of the cross-linked sites complementary to trypsin-trypsin digestion, which is beneficial to ensure the depth for studying protein structure and PPIs. Taking the 60 kDa chaperonin protein as an example, more than twice the cross-linked sites (30 vs 14) were identified to enrich the protein structure information. In addition, compared to the published protein interaction network for E. coli ( http://www.bacteriome.org ), 91 potential PPIs were discovered with our strategy, of which 65 have not covered by trypsin-trypsin digestion. Therefore, these results illustrate the great significance of smart-cutter-based CXMS for the revelation of protein structure as well as finding new PPIs.

Comprehensive Analysis of Protein N-Terminome by Guanidination of Terminal Amines.

Protein N-termini and their modifications not only represent different protein isoforms but also relate to the functional annotation and proteolytic activities. Currently, negative selection methods, such as terminal amine isotopic labeling of substrates (TAILS), are the most popular strategy to analyze the protein N-terminome, in which dimethylation or acetylation modification is commonly used to block the free amines of proteome samples. However, after tryptic digestion, the generated long peptides, caused by the missing cleavage of blocked lysine, could hardly be identified by MS, which hindered the deep-coverage analysis of N-terminome. Herein, to solve this problem, we developed an approach, named terminal amine guanidination of substrates (TAGS). 1H-Pyrazole-1-carboxamidine was used to effectively guanidinate lysine ε-amines and N-terminal α-amines, followed by tryptic digestion to generate N-terminal peptides without free amines and internal peptides with free amines. Then, the internal peptides with free amines were removed by hyperbranched polyglycerol-aldehyde polymers (HPG-ALDs) to achieve the negative enrichment of N-terminome. By TAGS, not only the cleavage rate of blocked lysine could be improved, but also the ionization efficiency of tryptic peptides was increased. In comparison, 1814 and 1620 protein N-termini were, respectively, identified by TAGS and TAILS in Saccharomyces cerevisiae (S. cerevisiae). Among them, 1012 N-termini were uniquely identified in TAGS. Furthermore, by the combination of TAGS and the stable isotope labeling with amino acids in cell culture (SILAC)/label-free quantitative method, we not only identified the known N-terminal cleavage fragment of gasdermin D but also identified some new cleavage sites during Val-boroPro-induced pyroptosis. All these results demonstrated that our developed approach, TAGS, might be of great promise for the comprehensive analysis of N-terminome and beneficial for promoting the identification of protein isoforms and studying in-depth the proteolytic activity of proteins.

Site-Specific Quantification of Persulfidome by Combining an Isotope-Coded Affinity Tag with Strong Cation-Exchange-Based Fractionation.

Protein persulfidation is one of the most important oxidative translational modifications and plays vital roles in various important biological processes. However, the proteome-wide identification of persulfidation sites is a great challenge because of the difficulties in accurately differentiating persulfide groups with disulfide and thiol groups in proteins as well as the extremely low abundance of persulfidated peptides. By current approaches, the persulfidated peptides were often identified by the cleavage of their persulfide groups by reductants prior to MS analysis; therefore, it would bring about a false positive identification and was unable to identify persulfidation sites accurately for a single peptide with multiple cysteine residues. In this study, a novel strategy for the site-specific quantification of persulfidome (SSQPer) was developed. By this strategy, the persulfidated proteins were first labeled with cleavable isotope-coded affinity tag (c-ICAT) reagents. After digestion, the labeled persulfidated peptides were selectively enriched with streptavidin beads and fractionated by strong cation exchange chromatography, followed by LC-MS/MS identification. To evaluate the performance of SSQPer, the persulfidated BSA digests with 20 persulfidation sites identified were used to spike HeLa cell digests with mass ratios of 1:100 and 1:1000, and 16 and 13 persulfidated sites were respectively identified. We applied SSQPer to the site-specific quantification of persulfidome in the epithelial-mesenchymal transition (EMT) process, and 226 endogenous persulfidation sites were identified, of which 74.3% were newly discovered. All of these results demonstrated that the SSQPer strategy would provide a promising tool to profile the site-specific persulfidome and pave the way for future investigation to expand our knowledge of persulfidation.

A Multiplex Fragment-Ion-Based Method for Accurate Proteome Quantification.

Multiplex proteome quantification with high accuracy is urgently required to achieve a comprehensive understanding of dynamic cellular and physiological processes. Among the existing quantification strategies, fragment-ion-based methods can provide highly accurate results, but the multiplex capacity is limited to 3-plex. Herein, we developed a multiplex pseudo-isobaric dimethyl labeling (m-pIDL) method to extend the capacity of the fragment-ion-based method to 6-plex by one-step dimethyl labeling with several millidalton and dalton mass differences between precursor ions and enlarging the isolation window of precursor ions to 10 m/ z during data acquisition. m-pIDL showed high quantification accuracy within the 20-fold dynamic range. Notably, the ratio compression was 1.13-fold in a benchmark two-proteome model (5:1 mixed E. coli proteins with HeLa proteins as interference), indicating that by m-pIDL, the ratio distortion of isobaric labeling approaches and the approximate 40% ratio shift of the label-free quantification strategy could be effectively eliminated. Additionally, m-pIDL did not show ratio variation among post-translational modifications (CV = 6.66%), which could benefit the measurement of universal protein properties for proteomic atlases. We further employed m-pIDL to monitor the time-resolved responses of the TGF-ß-induced epithelial-mesenchymal transition (EMT) in lung adenocarcinoma A549 cell lines, which facilitated the finding of new potential regulatory proteins. Therefore, the 6-plex quantification of m-pIDL with the remarkably high accuracy might create new prospects for comprehensive proteome analysis.

Surface modification with highly-homogeneous porous silica layer for enzyme immobilization in capillary enzyme microreactors.

Immobilized enzyme micro-reactors (IMERs) are of vital importance in developing miniaturized bioanalytical systems and have promising applications in various biomanufacturing. An inherent limitation in designing IMERs is the one-dimensional cylindrical geometry of micro-channels that offers limited exposed surface area for molecular reorganization and enzyme immobilization. In this study, we report a robust capillary-IMER based on a three dimensional porous layer open tubular (3D-PLOT) column which is prepared by an easy-to-control surface modification strategy via single-step in situ biphasic reaction. The 3D-PLOT column with highly uniform porous geometry and narrow distribution of porosity can greatly enhance the surface-area-to-volume ratio of the micro-channels, showing the beneficial effects for enzyme immobilization to enhance reaction efficiency and shorten analysis time. Taking trypsin as a model enzyme, enzymatic activities of immobilized enzyme are analyzed. We compare enzyme assays using the proposed 3D-PLOT-IMER with those using normal capillary-IEMR without surface modification as well as free trypsin. The 3D-PLOT-IMER exhibits excellent stability and inter/intra-day reproducibility, and these characteristics imply the reliability of the proposed IMERs for accurate enzyme assay. The feasibility of the proposed method for potential application in biological analysis is demonstrated by coupling the 3D-PLOT-IMER with a nano-LC-MS/MS system for online digestion of standard proteins, cell extraction and living Hela cells. Our study show that the surface modification with the proposed 3D-porous layer is a simple and efficient approach for enzyme immobilization, and could be widely suitable for different kinds of IMERs.

[A cross-sequence labeling equipment for high-throughput proteome based on pseudo-isobaric dimethyl labeling].

Facing the needs of multidimensional and multi-sample proteome quantification in the field of biology and precision medicine, high-throughput quantitative labeling and analysis have become the trend in recent years. A novel cross-sequence labeling equipment for high-throughput proteome based on pseudo-isobaric dimethyl labeling (pIDL-StageTip) was established. The equipment needs only simple devices and centrifugal force. The throughput of quantitative labeling is effectively increased, and the controllability of the two-step labeling reaction time at the terminals of the peptides and the ease of operation are ensured. By optimizing the labeling conditions of NaBD3CN and NaBH3CN under acidic conditions respectively, labeling efficiency of the standard proteolysis achieved 100% and labeling selectivity was more than 95%. Even in the complex human proteome, the labeling efficiency was greater than 99% and the labeling selectivity was 100%. The quantitative method based on the equipment showed high quantitative accuracy and precision. The equipment provides a reliable solution for quantitative proteome labeling with high operability, accuracy, and throughput.

The Null-Test for peptide identification algorithm in Shotgun proteomics.

The present research proposed general evaluation strategy named Null-Test for peptide identification algorithm in Shotgun proteomics. The Null-Test method based on random matching can be utilized to check whether the algorithm has a tendency to make a mistake or has potential bugs, faultiness, errors etc., and to validate the reliability of the identification algorithm. Unfortunately, none of the five famous identification software could pass the most stringent Null-Test. PatternLab had good performance in both Null-Test and routine search by making a good control on the overfitting with sound design. The fuzzy logics based method presented as another candidate strategy could pass the Null-Test and has competitive efficiency in peptide identification. Filtering the results by appropriate FDR would increase the number of discoveries in an experiment, at the cost of losing control of Type I errors. Thus, it is necessary to utilize some more stringent criteria when someone wants to design or analyze an algorithm/software. The more stringent criteria will facilitate the discovery of latent bugs, faultiness, errors etc. in the algorithm/software. It would be recommended to utilize independent search combining random database with statistics theorem to estimate the accurate FDR of the identified results. BIOLOGICAL SIGNIFICANCE: In the past decades, considerable effort has been devoted to developing a sensitive algorithm for peptide identification in Shotgun proteomics. However, little attention has been paid to controlling the reliability of the identification algorithm at the design stage. The Null-Test based on random matching can be utilized to check whether the algorithm has a tendency to make a mistake or has potential bugs, faultiness, errors etc. However, it turns out that none of the five famous identification software could pass the most stringent Null-Test in the present study, which should be taken into account seriously. Accordingly, a candidate strategy based on fuzzy logics has been demonstrated the possibility that an identification algorithm can pass the Null-Test. PatternLab shows that earlier control on overfitting is valuable for designing an efficient algorithm.

In-Depth Proteome Coverage by Improving Efficiency for Membrane Proteome Analysis.

Although great achievement has been made in the mapping of human proteome, the efficiency of sample preparation still needs to be improved, especially for membrane proteins. Herein, we presented a novel method to deepen proteome coverage by the sequential extraction of proteins using urea and 1-dodecyl-3- methylimidazolium chloride (C12Im-Cl). With such a strategy, the commonly lost hydrophobic proteins by 8 M urea extraction could be further recovered by C12Im-Cl, as well as the suppression effect of high abundance soluble proteins could be decreased. Followed by the in situ sample preparation and separation with different stationary phases, more than 9810 gene products could be identified, covering 8 orders of magnitude in abundance, which was, to the best of our knowledge, the largest data set of HeLa cell proteome. Compared with previous work, not only the number of proteins identified was obviously increased, but also the analysis time was shortened to a few days. Therefore, we expect that such a strategy has great potential applications to achieve unprecedented coverage for proteome analysis.

NIPTL-Novo: Non-isobaric peptide termini labeling assisted peptide de novo sequencing.

A simple and effective de novo sequencing strategy assisted by non-isobaric peptide termini labeling, NIPTL-Novo, was established. The y-series ions and b-series ions of peptides can be clearly distinguished according to the different mass tags incorporated in N-terminus and C-terminus. This is helpful for improving the accuracy of peptide sequencing and increasing the sequencing speed. For the spectra commonly identified by both de novo sequencing and database searching software (Mascot or Maxquant), NIPTL-Novo gave identical result to more than 85% of these spectra. Furthermore, the quantitative profiling of the sample can be performed simultaneously along with de novo sequencing. Finally, this strategy can be applied to discover the peptides with potential mutation sites by combining with mass-defect based isotopic labeling. SIGNIFICANCE: The aim of the research presented in this paper is to establish a simple but effective de novo sequencing strategy based on non-isobaric peptide termini labeling, named NIPTL-Novo. First, different mass tags incorporated in N-terminus and C-terminus generated by non-isobaric peptide termini labeling will help to distinguish both b and y ion series, which significantly simplify the MS/MS spectra and reduce the time consumption for de novo sequencing. Second, the isolation window of this strategy is just 4Da, much smaller than most existed labeling assisted de novo sequencing methods, which reduces the interferences caused by co-fragmentation ions. Third, the quantitative profiling of the sample can be performed simultaneously along with the de novo sequencing, and the quantitative accuracy is comparable to other chemical labeling methods. Finally, this strategy was expanded to the analysis of peptide mutation with combination of mass-defect based labeling, and two reliable mutated peptides were discovered.