The cytotoxicity of PM2.5 and its effect on the secretome of normal human bronchial epithelial cells.

Exposure to airborne fine particulate matter (PM2.5) induced various adverse health effects, such as metabolic syndrome, systemic inflammation, and respiratory disease. Many works have studied the effects of PM2.5 exposure on cells through intracellular proteomics analyses. However, changes of the extracellular proteome under PM2.5 exposure and its correlation with PM2.5-induced cytotoxicity still remain unclear. Herein, the cytotoxicity of PM2.5 on normal human bronchial epithelia cells (BEAS-2B cells) was evaluated, and the secretome profile of BEAS-2B cells before and after PM2.5 exposure was investigated. A total of 83 proteins (58 upregulated and 25 downregulated) were differentially expressed in extracellular space after PM2.5 treatment. Notably, we found that PM2.5 promoted the release of several pro-apoptotic factors and induced dysregulated secretion of extracellular matrix (ECM) constituents, showing that the abnormal extracellular environment attributed to PM2.5-induced cell damage. This study provided a secretome data for the deep understanding of the molecular mechanism underlying PM2.5-caused human bronchial epithelia cell damage.

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.

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.

Targeted killing of tumor cells based on isoelectric point suitable nanoceria-rod with high oxygen vacancies.

Nanozymes have great potential applications in tumor treatment due to their good stability, high biocompatibility, easy preparation and versatility. However, it remains a challenge to design highly active nanozymes with tumor cell targeting. Herein, three nanoceria structures (nanoceria-rod; nanoceria polyhedra, abbreviated as nanoceria-poly.; and nanoceria-cube) with different surface oxygen vacancy concentrations are designed. Among them, nanoceria-rod shows the highest enzyme activity and tumor cell toxicity because of its highest concentration of oxygen vacancies on the surface. Further study shows that nanoceria-rod can selectively enter tumor cells because nanoceria-rod with a suitable isoelectric point (IEP) remains positively charged in the acidic microenvironment of the tumor but negatively charged in the physiological microenvironment of normal cells. Nanoceria-rod distributes in lysosomes and phagosomes to produce reactive oxygen species (ROS) in tumor cells. Finally, the mitochondrial membrane potential (MMP) was reduced, which caused cell apoptosis. This study provides an interesting new tumor-targeting therapy method, which could also be extended to other drug nanocarriers and diagnostic imaging nanomaterials for tumors.

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.

Bis(zinc(II)-dipicolylamine)-functionalized sub-2 µm core-shell microspheres for the analysis of N-phosphoproteome.

Protein N-phosphorylation plays a critical role in central metabolism and two/multicomponent signaling of prokaryotes. However, the current enrichment methods for O-phosphopeptides are not preferred for N-phosphopeptides due to the intrinsic lability of P-N bond under acidic conditions. Therefore, the effective N-phosphoproteome analysis remains challenging. Herein, bis(zinc(II)-dipicolylamine)-functionalized sub-2 µm core-shell silica microspheres (SiO2@DpaZn) are tailored for rapid and effective N-phosphopeptides enrichment. Due to the coordination of phosphate groups to Zn(II), N-phosphopeptides can be effectively captured under neutral conditions. Moreover, the method is successfully applied to an E.coli and HeLa N-phosphoproteome study. These results further broaden the range of methods for the discovery of N-phosphoproteins with significant biological functions.

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.

Ionic liquid-assisted protein extraction method for plant phosphoproteome analysis.

Protein phosphorylation is one of the most important post-translational modifications (PTM) and plays critical roles in maintaining many biological processes of plant species, such as being a significant signal related to resistance to tobacco mosaic virus (TMV) infection in tobacco. Compared to other organisms, in-depth profiling of plant phosphoproteome remains challenging due to the harsh extraction environment of plant proteins and low abundance of plant phosphorylation, generally requiring large amount of plant materials. Herein, we developed an integrated strategy for efficient sample preparation of amounts of plant tissues, by integrating ionic liquid (IL)-assisted protein extraction, in-solution digestion, precipitation-assisted IL removal, as well as immobilized metal ion affinity chromatography (IMAC) enrichment of phosphopeptides together. In this strategy, to improve the efficiency of protein extraction and enzymatic digestion, IL of 1-dodecyl-3-methylimidazolium chloride (C12Im-Cl) was used as the solubilizer due to its excellent solubilizing ability and enzyme compatibility demonstrated in our previous work. Briefly, the extraction capability of C12Im-Cl for protein amount from tobacco leaves was improved 1.9-fold compared to the commonly used urea-assisted method. Notably, to avoid its interference with subsequent LC-MS analysis, the IL was easily removed from the peptide solution by our proposed ion substitution-mediated C12Im + precipitation strategy with high efficiency. By handling 10 mg of starting protein materials of tobacco leaves, 14,441 unique phosphopeptides, assigned to 5153 unique phosphoproteins were confidently identified. To the best of our knowledge, this was the most comprehensive phosphorylation dataset for tobacco so far. All the results demonstrated our strategy was of great potential to promote the large-scale analysis of plant phosphoproteome.

A multi-omics investigation of the molecular characteristics and classification of six metabolic syndrome relevant diseases.

Metabolic syndrome (MTS) is a cluster of concurrent metabolic abnormal conditions. MTS and its component metabolic diseases are heterogeneous and closely related, making their relationships complicated, thus hindering precision treatment. Methods: We collected seven groups of samples (group a: healthy individuals; group b: obesity; group c: MTS; group d: hyperglycemia, group e: hypertension, group f: hyperlipidemia; group g: type II diabetes, n=7 for each group). We examined the molecular characteristics of each sample by metabolomic, proteomic and peptidomic profiling analysis. The differential molecules (including metabolites, proteins and peptides) between each disease group and the healthy group were recognized by statistical analyses. Furthermore, a two-step clustering workflow which combines multi-omics and clinical information was used to redefine molecularly and clinically differential groups. Meanwhile, molecular, clinical, network and pathway based analyses were used to identify the group-specific biological features. Results: Both shared and disease-specific molecular profiles among the six types of diseases were identified. Meanwhile, the patients were stratified into three distinct groups which were different from original disease definitions but presented significant differences in glucose and lipid metabolism (Group 1: relatively favorable metabolic conditions; Group 2: severe dyslipidemia; Group 3: dysregulated insulin and glucose). Group specific biological signatures were also systematically described. The dyslipidemia group showed higher levels in multiple lipid metabolites like phosphatidylserine and phosphatidylcholine, and showed significant up-regulations in lipid and amino acid metabolism pathways. The glucose dysregulated group showed higher levels in many polypeptides from proteins contributing to immune response. The another group, with better glucose/lipid metabolism ability, showed higher levels in lipid regulating enzymes like the lecithin cholesterol acyltransferase and proteins involved in complement and coagulation cascades. Conclusions: This multi-omics based study provides a general view of the complex relationships and an alternative classification for various metabolic diseases where the cross-talk or compensatory mechanism between the immune and metabolism systems plays a critical role.

Quantitative proteomics analysis of deer antlerogenic periosteal cells reveals potential bioactive factors in velvet antlers.

Velvet antlers (VA) have been used as medicines and nutraceuticals for over 2000 years. Meanwhile, deer antlers are the only mammalian organs that can fully regenerate after annual shedding. The antler formation and regeneration rely on the stem cells resident in antlerogenic periosteum (AP), transplantation of which can induce ectopic antler formation. Here, a comprehensive quantitative proteomic analysis of antlerogenic periosteal cells (AP cells), compared with the adjacent facial periosteal cells (FP cells), was carried out, from both extracellular and intracellular perspectives. In this study, the stable isotope labeling by amino acids in cell culture (SILAC) was applied to ensure the precision of quantification. Then, the protein equalization strategy and reverse-phase liquid chromatography (RPLC) separation in high pH were utilized to improve the depth of proteome profiling. Proteomics analysis of the conditioned media (CM) from AP and FP cells showed that significantly over-expressed extracellular proteins in AP cells were involved in cell proliferation, angiogenesis and neurogenesis. Combining the extracellular and intracellular proteomes, we found several potential secreted proteins might regulate antler formation and regeneration, such as SFRP4 and LUM. These results provide new insight into the underlying mechanism of antler formation and regeneration.

[A novel method for the selective enrichment of persulfidated peptides based on iodoacetic acid functionalized dendrimer].

Protein persulfidation is an important oxidative translational modification which plays vital roles in many important processes including cellular senescence, endoplasmic reticulum stress, vasorelaxation, and apoptosis. The proteome-wide analysis of persulfidation is of great importance; therefore, this study combines filter-aided sample preparation with an iodoacetic acid functionalized polyamidoamine dendrimer to enrich persulfidated peptides (denoted as filter-aided dendrimer enrichment strategy, FADE). To evaluate the performance of this strategy, the synthetic persulfidated standard peptide was spiked into bovine serum albumin (BSA) digests at a mass ratio of 1:100, and was successfully identified by FADE. Moreover, in combination with stable isotope labelling by amino acids in cell culture technology, the FADE strategy was applied to enrich persulfidated peptides from NaHS-stimulated SHSY5Y cells over a concentration gradient, resulting in the identification of 163 persulfidated peptides. Bioinformatic analysis indicated that persulfidation might play important roles in the central nervous system.

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.

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.

Identification of PGAM1 as a putative therapeutic target for pancreatic ductal adenocarcinoma metastasis using quantitative proteomics.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive gastrointestinal cancer characterized by an extremely low survival rate because of early metastasis. Identifying satisfactory therapeutic targets associated with metastasis is crucial to improve the treatment effect of PDAC. MATERIALS AND METHODS: In this research, we used stable isotope labeling by amino acids in cell culture, 1-dodecyl-3-methylimidazolium chloride-assisted sample preparation method preparing protein sample and nano-reversed-phase liquid chromatography-mass spectrometry/mass spectrometry analysis to perform the comparative proteomics of two homologous hamster pancreatic cancer cell lines that are different in metastatic ability: PC-1.0 (highly metastatic) and PC-1 (weakly metastatic). Verifications are through immunohistochemistry on clinical human PDAC pathologic tissues as well as by Western blot of human pancreatic cancer cell lines. siRNA silencing methods were used to study the effect of molecules on invasion and metastasis of pancreatic cancer cell lines. RESULTS: Bioinformatic analysis indicated that a total of 141 differentially expressed proteins (82 upregulated and 59 downregulated in PC-1.0 cells) were identified showing obviously differential expression (>1.5-fold change). These differentially expressed proteins were involved in a number of different biologic functions, metabolic pathways, and pathophysiologic processes. Phosphoglycerate mutase 1 (PGAM1) and HSPE1 are the top two upregulated proteins, and PDIA3 and CALR are the top two downregulated proteins in PC-1.0 cells compared to PC-1 cells. PGAM1 and HSPE1 showed higher expressions in PDAC tissue with clinical metastasis and highly metastatic pancreatic cancer cell lines PC-1.0 and Aspc-1. PDIA3 and CALR showed higher expressions in weakly metastatic pancreatic cancer cell lines PC-1 and Capan-2. The Western blot results were consistent with the MS quantification data. Silencing PGAM1 was found to decrease the migration and invasion of pancreatic cancer cell lines with statistical significance, especially in highly metastatic PC-1.0 and Aspc-1 cell lines. CONCLUSION: These data indicated that PGAM1 may be a potential therapeutic target for PDAC metastasis.

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.

Quantitative secretomic analysis of pancreatic cancer cells in serum-containing conditioned medium.

Pancreatic cancer is a highly metastatic and chemo-resistant disease. Secreted proteins involved in cell-cell interactions play an important role in changing the tumor microenvironment. Previous studies generally focus on the secretome of cancer cell line from serum-free media, due to the serious interference of fetal bovine serum (FBS). However, serum-starvation may alter expression patterns of secreted proteins. Hence, efforts to decrease the interference of serum in proteomic analysis of serum-containing media have been hampered to quantitatively measure the tumor secretion levels. Recently, the metabolic labeling, protein equalization, protein fractionation and filter-aided sample preparation (FASP) strategy (MLEFF) has been successfully used to avoid the disturbance of serum on secretome analysis. Here, this efficient method was applied for comparative secretome analysis of two hamster pancreatic cancer cells with differentially metastatic potentials, enabling the observation of 161 differentially expressed proteins, including 106 proteins that had been previously reported and detected in plasma. By integrated analysis of our data and publicly available bioinformatics resources, we found that a combination panel consisting of CDH3, PLAU, and LFNG might improve the prognosis of overall pancreatic cancer survival. These secreted proteins may serve as a potential therapeutic targets for pancreatic cancer metastasis.

Ionic liquid-based method for direct proteome characterization of velvet antler cartilage.

The cartilage zone of the velvet antler is richly vascularized, this being a major difference to the classical cartilage, in which there are no blood vessels. Angiogenesis and rapid growth of vasculature in velvet antler cartilage (VAC) make it an ideal model for discovering the novel angiogenic regulatory factors. However, the proteomic analysis of VAC is challenging due to the serious interference of proteoglycans (PGs) and collagens. To achieve a comprehensive proteome characterization of VAC, herein, we developed an ionic liquid-based method using 1-dodecyl-3-methylimidazolium chloride ([C12-mim]Cl) for selective extraction of cellular proteins from VAC. Compared with the previous cetylpyridinium chloride (CPC)-based method, the developed [C12-mim]Cl-based method takes much less processing time, shows facile preparation procedure and good compatibility towards downstream proteomic analysis, leading to the identification of more protein groups (1543 vs 753), membrane proteins (663 vs 279) and transmembrane proteins (217 vs 58).

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.

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.