Improved Cross-Linking Coverage for Protein Complexes Containing Low Levels of Lysine by Using an Enrichable Photo-Cross-Linker.

Chemical cross-linking coupled with mass spectrometry (XL-MS) is an important technique for the structural analysis of protein complexes where the coverage of amino acids and the identification of cross-linked sites are crucial. Photo-cross-linking has multisite reactivity and is valuable for the structural analysis of chemical cross-linking. However, a high degree of heterogeneity results from this multisite reactivity, which results in samples with higher complexity and lower abundance. Additionally, the applicability of photo-cross-linking is limited to purified protein complexes. In this work, we demonstrate a photo-cross-linker, alkynyl-succinimidyl-diazirine (ASD) with the reactive groups of N-hydroxysuccinimide ester and diazirine, as well as the click-enrichable alkyne group. Photo-cross-linkers can provide higher site reactivity for proteins that contain only a small number of lysine residues, thereby complementing the more commonly used lysine-targeting cross-linkers. By systematically analyzing proteins with differing lysine contents and differing flexibilities, we demonstrated clear enhancement in structure elucidation for proteins containing less lysine and with high flexibility. In addition, enrichment approaches of alkynyl-azide click chemistry conjugated with biotin-streptavidin purification (coinciding with parallel orthogonal digestion) improved the identification coverage of cross-links. We show that this photo-cross-linking approach can be used for membrane proteome-wide complex analysis. This method led to the identification of a total of 14066 lysine-X cross-linked site pairs from a total of 2784 proteins. Thus, this cross-linker is a valuable addition to a photo-cross-linking toolkit and improves the identification coverage of XL-MS in functional structure analysis.

High-Sensitivity Detection toward SARS-CoV-2 S1 Glycoprotein by Parallel Reaction Monitoring Mass Spectrometry.

The outbreak of coronavirus disease 2019 (COVID-19) has overwhelmed the global economy and human well-being. On account of the sharp increase in test demand, there is a need for an accurate and alternative diagnosis method for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, with the aim to specifically identify the trace SARS-CoV-2 S1 glycoprotein, we developed a high-sensitivity and high-selectivity diagnostic method based on the targeted parallel reaction monitoring (PRM) assay of eight selected peptides. This study emphasizes the outstanding detection sensitivity of 0.01 pg of the SARS-CoV-2 S1 glycoprotein even in the interference of other structural proteins, which to our knowledge is the current minimum limit of detection for the SARS-CoV-2 S1 glycoprotein. This technology could further identify 0.01 pg of the SARS-CoV-2 S1 glycoprotein in a spike pseudovirus, revealing its practical effectiveness. All our preliminary results throw light on the capability of the mass spectrometry-based targeted PRM assay to identify SARS-CoV-2 as a practicable orthogonal diagnostic tool. Furthermore, this technology could be extended to other pathogens (e.g., MERS-CoV S1 protein or SARS-CoV S1 protein) by quickly adjusting the targeted peptides of MS data acquisition. In summary, this strategy is universal and flexible and could be quickly adjusted to detect and discriminate different mutants and pathogens.

Bone marrow mesenchymal stem cell-derived exosomal miR-34c-5p ameliorates RIF by inhibiting the core fucosylation of multiple proteins.

Renal interstitial fibrosis (RIF) is an incurable pathological lesion in chronic kidney diseases. Pericyte activation is the major pathological characteristic of RIF. Fibroblast and macrophage activation are also involved in RIF. Studies have revealed that core fucosylation (CF), an important post-translational modification of proteins, plays a key role in pericyte activation and RIF by regulating multiple profibrotic signaling pathways as a hub-like target. Here, we reveal that mesenchymal stem cell (MSC)-derived exosomes reside specifically in the injured kidney and deliver microRNA (miR)-34c-5p to reduce cellular activation and RIF by inhibiting CF. Furthermore, we showed that the CD81-epidermal growth factor receptor (EGFR) ligand-receptor complex aids the entry of exosomal miR-34c-5p into pericytes, fibroblasts, and macrophages. Altogether, our findings reveal a novel role of MSC-derived exosomes in inhibiting multicellular activation via CF and provide a potential intervention strategy for renal fibrosis.

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.

Alkynyl-Enrichable Carboxyl-Selective Crosslinkers to Increase the Crosslinking Coverage for Deciphering Protein Structures.

The coverage of chemical crosslinking coupled with mass spectrometry (CXMS) is of great importance to determine its ability for deciphering protein structures. At present, N-hydroxysuccinimidyl (NHS) ester-based crosslinkers targeting lysines have been predominantly used in CXMS. However, they are not always effective for some proteins with few lysines. Other amino acid residues such as carboxyl could be crosslinked to complement lysines and improve the crosslinking coverage of CXMS, but the low intrinsic chemical reactivity of carboxyl compromises the application of carboxyl-selective crosslinkers for complex samples. To enhance the crosslinking efficiency targeting acidic residues and realize in-depth crosslinking analysis of complex samples, we developed three new alkynyl-enrichable carboxyl-selective crosslinkers with different reactive groups such as hydrazide, amino, and aminooxy. The crosslinking efficiencies of the three crosslinkers were systematically evaluated, giving the best reactivity of the amino-functionalized crosslinker BAP. Furthermore, BAP was extended to the crosslinking analysis of Escherichia coli lysate in combination with efficient crosslink enrichment. A total of 1291 D/E-D/E crosslinks involved in 392 proteins were identified under a false discovery rate (FDR) of ≤1%. Obvious structural complementarity of BAP was exhibited to the lysine-targeting crosslinker, facilitating the capability of CXMS for protein structure elucidation. To the best of our knowledge, this was the first time for the carboxyl-selective crosslinker to achieve proteome-wide crosslinking analysis of the whole cell lysate. Collectively, we believe that this work not only expands on a promising toolkit of CXMS targeting acidic residues but also provides a valuable guideline to advance the performance of carboxyl-selective crosslinkers.

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.

Lipopolysaccharide-pretreated mesenchymal stem cell-conditioned medium optimized with 10 kDa filter attenuates the injury of H9c2 cardiomyocytes in a model of hypoxia/reoxygenation.

Mesenchymal stem cell-derived conditioned medium (MSC-CM) improves cardiac function, which is partly attributed to the released paracrine factors. Since such cardioprotection is moderate and transient, it is essential that MSC-CM's effective components are optimized to alleviate myocardial injury. To optimize MSC-CM, MSCs were treated with or without lipopolysaccharides (LPSs) for 48 h (serum-free), and the supernatant was collected. Then, LPS-CM (MSC stimulated by LPS) was further treated with LPS remover (LPS Re-CM) or was concentrated with a 10 kDa cutoff filter (10 kDa-CM). Enzyme-linked immunosorbent assay showed that all the pretreatments increased the levels of vascular endothelial growth factor (VEGF), hepatocyte growth factor (HGF), and insulin growth factor (IGF) except LPS Re-CM; 10 kDa-CM was superior to the other CMs. Cell Counting Kit-8 displayed that the viability of injured H9c2 cells was enhanced with the increase in the MSC-CM concentration. We also found that the 10 kDa-CM significantly alleviated H9c2 hypoxia/reoxygenation (H/R) injury, as evidenced by the increased Bcl-2/Bax ratio, and decreased the levels of lactate dehydrogenase and cardiac troponin. Transmission electron microscopy (TEM), TdT-mediated dUTP nick-end labelling (TUNEL), and hematoxylin and eosin staining (H&E) confirmed that 10 kDa-CM inhibited H/R-induced H9c2 morphological changes. Proteomic analysis identified 41 differentially expressed proteins in 10 kDa-CM, among which anti-inflammation, proangiogenesis, and antiapoptosis were related to cardiac protection. This study indicates that 10 kDa-CM protects H9c2 cardiomyocytes from H/R injury by preserving most of the protective factors, such as VEGF, HGF, and IGF, in MSC-CM.

Surface Nanosieving Polyether Sulfone Particles with Graphene Oxide Encapsulation for the Negative Isolation toward Extracellular Vesicles.

Extracellular vesicles (EVs) contain specific biomarkers for disease diagnosis. Current EV isolation methods are hampered in important biological applications due to their low recovery and purity. Herein, we first present a novel EV negative isolation strategy based on surface nanosieving polyether sulfone particles with graphene oxide encapsulation (SNAPs) by which the coexisting proteins are irreversibly adsorbed by graphene oxide (GO) inside the particles, while EVs with large sizes are excluded from the outside due to the well-defined surface pore sizes (10-40 nm). By this method, the purity of the isolated EVs from urine could be achieved 4.91 ± 1.01e10 particles/µg, 40.9-234 times higher than those obtained by the ultracentrifugation (UC), size-exclusion chromatography (SEC), and PEG-based precipitation. In addition, recovery ranging from 90.4 to 93.8% could be obtained with excellent reproducibility (RSD < 6%). This was 1.8-4.3 times higher than those obtained via SEC and UC, comparable to that obtained by PEG-based precipitation. Taking advantage of this strategy, we further isolated urinary EVs from IgA nephropathy (IgAN) patients and healthy donors for comparative proteome analysis, by which significantly regulated EV proteins were found to distinguish IgAN patients from healthy donors. All of the results indicated that our strategy would provide a new avenue for highly efficient EV isolation to enable many important clinical applications.

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.

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.

Advances in exosome isolation methods and their applications in proteomic analysis of biological samples.

Exosomes are membrane-bound vesicles secreted by cells, and contain various important biological molecules, such as lipids, proteins, messenger RNAs, microRNAs, and noncoding RNAs. Emerging evidence demonstrates that proteomic analysis of exosomes is of great significance in studying metabolic diseases, tumor metastasis, immune regulation, and so forth. However, exosome proteomic analysis has high requirements with regard to the purity of collected exosomes. Here recent advances in the methods for isolating exosomes and their applications in proteomic analysis are summarized. Graphical abstract.

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.

In-Depth Proteomic Quantification of Cell Secretome in Serum-Containing Conditioned Medium.

Secreted proteins play key roles during cellular communication, proliferation, and migration. The comprehensive profiling of secreted proteins in serum-containing culture media is technically challenging. Most studies have been performed under serum-free conditions. However, these conditions might alter the status of the cells. Herein, we describe an efficient strategy that avoids the disturbance of serum by combining metabolic labeling, protein "equalization," protein fractionation, and filter-aided sample preparation, called MLEFF, enabling the identification of 534 secreted proteins from HeLa conditioned media, including 31 cytokines, and growth factors. This MLEFF strategy was also successfully applied during a comparative secretome analysis of two human hepatocellular carcinoma cell lines with differentially metastatic potentials, enabling the quantification of 61 significantly changed proteins involved in tumor invasion and metastasis.

Glycan Moieties as Bait to Fish Plasma Membrane Proteins.

Plasma membrane proteome analysis is of significance for screening candidate biomarkers and drug targets. However, due to their low abundance and lack of specific groups that can enable their capture, the plasma membrane proteins (PMPs) are under-represented. On the basis of the fact that PMPs are embedded in or anchored to the phospholipid bilayer of the plasma membrane and the glycan moieties of proteins and lipids located on the plasma membrane are exposed outside of the cell surface, we proposed a strategy to capture PMPs, termed as glycan moieties-directed PMPs enrichment (GMDPE). With the glycan moieties exposed outside of the cells as bait to ensure the selectivity and the phospholipid bilayer as raft to provide the sensitivity, we applied this strategy into the plasma membrane proteome analysis of HeLa cells, and in total, 772 PMPs were identified, increased by 4.5 times compared to those identified by the reported cell surface biotinylation method. Notably, among them, 86 CD antigens and 16 ion channel proteins were confidently identified. All these results demonstrated that our proposed approach has great potential in the large scale plasma membrane proteome profiling.

Hydrophobic Tagging-Assisted N-Termini Enrichment for In-Depth N-Terminome Analysis.

The analysis of protein N-termini is of great importance for understanding the protein function and elucidating the proteolytic processing. Herein, we develop a negative enrichment strategy, termed as hydrophobic tagging-assisted N-termini enrichment (HYTANE) to achieve a global N-terminome analysis. The HYTANE strategy showed a high efficiency in hydrophobic tagging and C18 material-assisted depletion using bovine serum albumin (BSA) as the sample. This strategy was applied to N-termini profiling from S. cerevisiae cell lysates and enabled the identification of 1096 protein N-termini, representing the largest N-terminome data set of S. cerevisiae. The identified N-terminal peptides accounted for 99% of all identified peptides, and no deficiency in acidic, histidine (His)-containing, and His-free N-terminal peptides was observed. The presented HYTANE strategy is therefore a highly selective, efficient, and unbiased strategy for the large scale N-terminome analysis. Furthermore, using the HYTANE strategy, we identified 329 cleavage sites and 291 substrates of caspases in Jurkat cells, demonstrating the great promise of HYTANE strategy for protease research. Data are available via ProteomeXchange with identifier PXD004690.

Effective isolation of exosomes with polyethylene glycol from cell culture supernatant for in-depth proteome profiling.

Exosomes are secreted nanovesicles shed by almost all kinds of cells. Recently, increased interest has been focused on these extracellular vesicles as natural carriers transporting biological contents for intercellular communication. However, current isolation techniques, such as ultracentrifugation, are not convenient and often require specialized equipment. Herein, we describe a polyethylene glycol (PEG)-based approach, which could permit facile, low-cost and effective isolation of exosomes from cell culture supernatant. High-resolution electron microscopes clearly visualized the size and morphology of isolated exosome aggregates, implying the mechanism of PEG-based precipitation. Combined with tandem mass spectrometry analysis, 6299 protein groups encoded by 5120 genes were successfully characterized from HeLa cell culture supernatant, including numerous exosome proteins which could overlap 97% of the Top 100 exosome marker proteins recorded in the ExoCarta database, as well as a series of low-abundance cytokines and biomarkers. Furthermore, we found a higher ratio of neo-cleavage sites in proteins identified from exosomes compared with cellular proteins, revealing the potential roles of exosomes in accumulation and transportation of protein degradation intermediates.

Pseudo isobaric peptide termini labelling for relative proteome quantification by SWATH MS acquisition.

The pseudo isobaric peptide termini labeling (IPTL) method is a remarkable strategy in quantitative proteomics, and has been efficiently applied in biological studies due to its high quantitative accuracy. However, irreproducible precursor ion selection caused by data dependent acquisition and the chromatographic shift caused by isotope effects limit the wide application of this method. Herein, we expand the use of pseudo IPTL to SWATH MS application and develop a novel quantitative strategy, termed SWATH-pseudo-IPTL, by which the relative quantification could be achieved by comparing the "complete" extracted ion chromatogram (XIC) intensity of MS/MS scan instead of a single intensity measurement in DDA-pseudo-IPTL which only reflected the peptide abundances at that given time. The quantitative analysis of various proportions of mixed HeLa samples revealed the strong accuracy and precision of our SWATH-pseudo-IPTL method, both of which were better than that of the DDA-pseudo-IPTL strategy. SWATH-pseudo-IPTL was also applied to the quantitative profiling of the proteome from human hepatocellular carcinoma cell lines with high and low metastatic potential, and most of the differentially expressed proteins were related to tumorigenesis and tumor metastasis, demonstrating the feasibility of this methodology for biological applications.

Depletion of internal peptides by site-selective blocking, phosphate labeling, and TiO2 adsorption for in-depth analysis of C-terminome.

The analysis of protein C-termini is of great importance, because it not only provides valuable information about protein function, but also facilitates the elucidation of proteolytic processing. However, even with the recent methods for the global profiling of protein C-termini, the identification of C-termini is still far behind that of N-termini due to the lack of basic residue and low reactive carboxyl group. Therefore, an unbiased and complementary method for C-termini profiling is imperative. In this work, we developed a negative enrichment strategy to achieve the in-depth analysis of C-terminome. Proteins were firstly amidated to block carboxyl groups, followed by lysyl endoproteinase (LysC) digestion to generate C-terminal peptides with α-amines and internal peptides bearing both α- and ε-amines. After the α-amines were blocked by site-selective dimethylation or succinylation, the remaining ε-amines on internal peptides were labeled with phosphate groups. Finally, internal peptides were depleted by TiO2, leaving exclusively the fraction of C-terminal peptides for LC-MS/MS analysis. With Escherichia coli (E. coli) digests as the sample, the efficiency of amidation, dimethylation/succinylation, phosphate labeling and TiO2 depletion was proved high. With the combination of dimethyl and succinic blocking strategy, our method enabled the identification of 477 unique C-terminal peptides in E. coli. In comparison with the C-terminal amine-based isotope labeling of substrates (C-TAILS) method, 83 C-termini were identified by both methods, whereas 369 C-termini were unique to C-TAILS and 394 to our dataset. The method proposed is therefore efficient and possibly promotes the comprehensive profiling of C-termini. Graphical Abstract Negative isolation of C-terminal peptides with combination of site-selective blocking, phosphate labeling, and TiO2 adsorption.

A paired ions scoring algorithm based on Morpheus for simultaneous identification and quantification of proteome samples prepared by isobaric peptide termini labeling strategies.

The isobaric peptide termini labeling (IPTL) method is a promising strategy in quantitative proteomics for its high accuracy, while the increased complexity of MS2 spectra originated from the paired b, y ions has adverse effect on the identification and the coverage of quantification. Here, a paired ions scoring algorithm (PISA) based on Morpheus, a database searching algorithm specifically designed for high-resolution MS2 spectra, was proposed to address this issue. PISA was first tested on two 1:1 mixed IPTL datasets, and increases in peptide to spectrum matchings, distinct peptides and protein groups compared to Morpheus itself and MASCOT were shown. Furthermore, the quantification is simultaneously performed and 100% quantification coverage is achieved by PISA since each of the identified peptide to spectrum matchings has several pairs of fragment ions which could be used for quantification. Then the PISA was applied to the relative quantification of human hepatocellular carcinoma cell lines with high and low metastatic potentials prepared by an IPTL strategy.