In-Depth Metaproteomics Analysis of Oral Microbiome for Lung Cancer.

The human oral microbiome correlates with numerous diseases, including lung cancer. Identifying the functional changes by metaproteomics helps understand the disease-related dysbiosis, yet characterizing low-abundant bacteria is challenging. Here, we developed a free-flow isoelectric focusing electrophoresis-mass spectrometry- (FFIEF-MS-) based metaproteomics strategy to reduce host interferences and enrich low-abundant bacteria for in-depth interpretation of the oral microbiome. With our method, the number of interfering peptides decreased by 52.87%, whereas the bacterial peptides and species increased by 94.97% and 44.90%, respectively, compared to the conventional metaproteomics approach. We identified 3647 bacterial proteins, which is the most comprehensive oral metaproteomics study to date. Lung cancer-associated bacteria were validated among an independent cohort. The imbalanced Fusobacterium nucleatum and Prevotella histicola and their dysregulated functions in inhibiting immune response and maintaining cell redox homeostasis were revealed. The FFIEF-MS may serve as a valuable strategy to study the mechanisms between human diseases and microbiomes with broader applications.

Free-flow zone electrophoresis facilitated proteomics analysis of heterogeneous subpopulations in H1299 lung cancer cells.

Cancer cells are usually heterogeneous, whose subpopulations contain distinct biological information that related to their unique phenotype. However, preparative separating heterogeneous cells into subpopulations is very challenging, especially based on their surface charge status. Here, free-flow zone electrophoresis (FFZE) was employed to separate and fractionate lung cells. The experimental parameters for FFZE, including voltage, running speed, and buffer pH, were optimized and the optimized method was then implemented to separate MRC-5 and H1299 cells. Normal lung cells MRC-5 could be separated into one major peak and few minor peaks. For lung cancer cell line H1299, two major peaks and a few minor peaks were fractionated. Those prepared major peaks were subjected to quantitative proteomics analysis for heterogeneous subpopulation. For H1299 cells, 2076 proteins were identified in the first major peak, and 1398 proteins were revealed in the second major peak, which increased by 13% on average (n = 3) when compared to that of before FFZE fractionation. Furthermore, we found that H1299 cells in the first major peak have higher mobility than the cells in the second one. Many cell mobility and metastasis related proteins, such as RHBDF2, TRIM59, and ADAM17, were solely expressed in the first major peak of H1299 after FFZE, indicating our method can distinguish cancer cell subpopulations with higher metastatic phenotype. Our results showed that FFZE can effectively fractionate heterogeneous cell subpopulations, which might be used for the comprehensive analysis of unique phenotypes of different cancers.

Integrated N-glycoproteomics Analysis of Human Saliva for Lung Cancer.

Aberrant protein N-glycosylation is a cancer hallmark, which has great potential for cancer detection. However, large-scale and in-depth analysis of N-glycosylation remains challenging because of its high heterogeneity, complexity, and low abundance. Human saliva is an attractive diagnostic body fluid, while few efforts explored its N-glycoproteome for lung cancer. Here, we utilized a zwitterionic-hydrophilic interaction chromatography-based strategy to specifically enrich salivary glycopeptides. Through quantitative proteomics analysis, 1492 and 1234 intact N-glycopeptides were confidently identified from pooled saliva samples of 10 subjects in the nonsmall-cell lung cancer group and 10 subjects in the normal control group. Accordingly, 575 and 404 N-glycosites were revealed for the lung cancer group and normal control group. In particular, 154 N-glycosites and 259 site-specific glycoforms were significantly dysregulated in the lung cancer group. Several N-glycosites located at the same glycoprotein and glycans attached to the same N-glycosites were observed with differential expressions, including haptoglobin, Mucin-5B, lactotransferrin, and α-1-acid glycoprotein 1. These N-glycoproteins were mainly related to inflammatory responses, infectious diseases, and cancers. Our study achieved comprehensive characterization of salivary N-glycoproteome, and dysregulated site-specific glycoforms hold promise for noninvasive detection of lung cancer.

[Multi-channel contactless conductivity detection device for online detection of free-flow electrophoresis separation].

Free-flow electrophoresis (FFE) is an all-liquid-phase electrophoresis technique without any supporting media, which has both analytical and preparative functions. Compared to other electrophoresis techniques, FFE has been used for the separation of peptides, proteins, cells, and microorganisms due to its advantages of mild separation environment, high recovery, and sustainable separation. Both the online detection of the characteristic parameters for each component solution and the real-time control of the progress of the separation experiment are of considerable importance for the study of FFE separation. Since the existing FFE devices do not have the online detection function, there are obvious deficiencies in their practicability. The absence of online detection function not only made it impossible to track the progress of the separation experiment in real time, but also made it difficult to detect the properties of the component solutions, which still require offline testing after separation. In this study, a multi-channel capacitively coupled contactless conductivity detection (MC-C4D) device has been developed to solve this problem, and an automatic measurement software has also been developed. The MC-C4D device used a parallel time-sharing contactless conductivity detection technique. It consisted of several contactless conductivity detection modules arranged in parallel, which in turn consisted of a number of contactless conductivity cells that were switched on/off by analog multiplexers for detecting the conductivity of the solution flowing through the cells in real time. The number of cells was equal to the number of components of the FFE. The components were connected to each of the FFE flow channels, such that the MC-C4D device could be used to measure the conductivity of the solution flowing through each channel in parallel online. To verify the performance of the MC-C4D device, calibration was conducted by using potassium chloride (KCl) standard solutions on MC-C4D device. The experimental data showed that the detection range of MC-C4D was 0.015-2.5 mS/cm, and the limit of detection (LOD) was 0.002 mS/cm. The intra-day relative standard deviation (RSD, n=3) was 2.31%, the measurement relative error (RE) was 3.03%, and the measurement difference between channels was 1.60%. All these data validated that the device had the advantages of wide detection range, low LOD, good repeatability, high accuracy, and low variation between channels. The MC-C 4D device was also applied to reciprocating free-flow isoelectric focusing (RFFIEF) electrophoresis for real-time online detection of the conductivity of each component solution during protein focusing. At the start of isoelectric focusing, when the ions had not reached equilibrium loading in the electric field and the pH gradient had not yet been fully developed, there was little difference in conductivity between the different channels and the channel conductivity curve was relatively flat. As the experiment progressed, the proteins gradually started to enrich the anodic end. As the proteins accumulated towards the isoelectric point, their own net charge gradually decreased, and thus, the conductivity of the solution in the channels near the anodic region also decreased. Under sufficient isoelectric focusing, protein enrichment was evident. In the focusing region, the conductivity of the solution in the corresponding channel decreased further. There was also an increase in the conductivity of the solution in the corresponding channel due to the accumulation of ions near the electrode ends. These results showed that the MC-C4D device not only enabled real-time online detection of the conductivity of each component solution in FFE, but also aided in mastering the progress of separation experiment in RFFIEF, thus improving the practicality of the FFE device. Thus, the MC-C4D device, which had the advantages of good performance, small size, simple circuit system, easy installation and commissioning, and low cost, could play an important role in multi-channel measurement, online inspection, and process monitoring.

Free-Flow Isoelectric Focusing for Comprehensive Separation and Analysis of Human Salivary Microbiome for Lung Cancer.

Human microbiome contains billions of microorganisms that play important roles in the biological system and different diseases. Due to its complexity, conventional culture-independent technology may underestimate the value of low-abundance bacteria, which calls for a highly efficient method for its enrichment and comprehensive analysis. In this study, we developed a recycling free-flow isoelectric focusing (RFFIEF) method-based electrophoresis method to separate salivary microbiome. First, we used Escherichia coli (DH5α) as a model for RFFIEF method development, which was focused in a narrow pH range (0.38 pH unit). The recovery rate was 80.81% with 5.85% relative standard deviation (n = 5). The optimized method was then adopted to separate the human salivary microbiome into 32 fractions, followed by 16S rRNA gene sequencing and metaproteomics analysis. After RFFIEF fractionation, we identified 508 bacterial genera, which increased by 225% on average (n = 3) when compared to the results before fractionation. We further compared the compositional change of microbiome in the saliva of lung cancer group (n = 22) and control group (n = 21) through RFFIEF. Quantitative results demonstrated that six bacterial genera were upregulated dramatically in the lung cancer group, while two genera were downregulated. Through qPCR verification in an independent sample set (n = 48), we confirmed that genus Granulicatella was significantly upregulated in the lung cancer group, whereas Pseudomonas was remarkably downregulated (p < 0.001). RFFIEF is an efficient and reproducible technology to fractionate the microbiome for its comprehensive analysis, which can be further applied to the in-depth study of the complex microbiomes and contribute to the discovery of disease-associated bacteria.

N-glycan structures of target cancer biomarker characterized by two-dimensional gel electrophoresis and mass spectrometry.

Glycoproteins are important biomarkers for cancers, while most glycoproteomics biomarkers suffering from low sensitivity and specificity due to their uncharacterized glycan structures. AZGP1 is a potential biomarker for salivary diagnostics of lung cancer, which is used as a model glycoprotein in this study for method development. We initially analyzed salivary N-glycoproteome by using lectin affinity chromatography and more than 300 N-glycoproteins were identified, including AZGP1. 7 gel spots of AZGP1 were resolved by two-dimensional gel electrophoresis and further confirmed by two-dimensional western blot as well as mass spectrometry. The isomeric glycan structures of AZGP1 in these spots were systematically characterized both at composition level and at structure level. Our results revealed 10 glycan compositions for salivary AZGP1, including core fucosylated glycans on Asn128 and sialylated glycans on Asn109 and Asn112. We further compared the glycan structures of salivary AZGP1 from lung cancer group and control group. Accordingly, 14 and 7 potential glycan structures were successfully revealed, respectively. In total, 15 glycan compositions and 22 potential glycan structures were identified and characterized for AZGP1, including some different structures with the same compositions. In particular, 5 potential glycan structures were identified as lung cancer unique signatures. Our developed strategy holds promise for thorough identification of glycan structures on a target glycoprotein biomarker. In-depth characterization of its glycan structures will ultimately enhance its sensitivity and specificity for cancer detection.

Affinity chromatography assisted comprehensive phosphoproteomics analysis of human saliva for lung cancer.

Affinity chromatography is a powerful technology for phosphopeptide enrichment from body fluids. Saliva is a non-invasive body fluid for disease diagnosis, while few studies applied affinity enrichment for saliva phosphoproteome. In this study, we tested two kinds of affinity chromatography materials, Ti4+-IMAC (immobilized metal affinity chromatography) and CaTiO3, for the enrichment of phosphopeptides. Through comparison, Ti4+-IMAC method was demonstrated as the superior one, which was utilized for the comprehensive analysis of salivary phosphoproteome. More than 360 phosphoproteins were specifically extracted and identified from human saliva. Ti4+-IMAC method was further applied to compare the phosphoprotein profiling in the saliva of lung cancer group and normal control group through label-free quantification. Accordingly, 477 and 699 phosphopeptides were enriched, respectively, which corresponded to 339 and 466 proteins. In total, 796 unique phosphopeptides were revealed for 517 saliva phosphoproteins. In particular, 709 phosphorylation sites were identified, among which 26 were up-regulated (>1.5) and 149 were down-regulated (<0.66) in lung cancer. Their corresponding proteins were mainly associated with cancer promotion, system disorder, and organismal injury. Our data collectively demonstrated that salivary phosphopeptides can be comprehensively characterized through Ti4+-IMAC method. These discovered phosphoprotein candidates might be used for lung cancer detection through salivary diagnostics.

Proteomics Analysis of Cellular BRS3 Receptor Activation Reveals Potential Mechanism for Signal Transduction and Cell Proliferation.

Bombesin-like receptor 3 (BRS3), an orphan G protein-coupled receptor (GPCR), plays important roles in our biological system while the exact mechanisms behind it are less known. To get insights of the biological effects upon BRS3 activation, we utilized quantitative proteomics approach to explore the dynamic protein profiling during the stimulation by its ligand. At different time points after stimulation with BRS3 surrogate agonist, the protein profiling in BRS3 overexpressed HEK 293 cells BRS3 (HEK 293-BRS3) was analyzed by nano-LC-MS/MS. In total, 1593 cellular proteins were confidently identified and quantified, including 146 proteins dysregulated at multiple time points and 319 proteins only altered at one time point. Data analysis indicated that BRS3 activation could regulate cell death, survival, and protein synthesis, particularly mRNA translation. Key signaling pathways were revealed for BRS3 signal transduction. In particular, 21 of our identified proteins are involved in the rapamycin (mTOR) signaling pathway. The promotion of mTOR was further confirmed through monitoring its indicative targets upon BRS3 activation. Upon the inhibition of mTOR by rapamycin, cell proliferation was dramatically reversed. Our proteomics data collectively demonstrate that BRS3 activation will lead to cascades of signal transduction and promote cell proliferation. The developed strategy might be utilized to discover the roles of other GPCRs and improve our understanding of their unknown functions.

FGA isoform as an indicator of targeted therapy for EGFR mutated lung adenocarcinoma.

Epidermal growth factor receptor (EGFR) gene is frequently mutated in non-small cell lung cancer (NSCLC), which can be targeted by EGFR tyrosine kinase inhibitors (TKIs). It is hard, however, to monitor the performance of EGFR-TKI therapy dynamically. Therefore, therapeutic indicators are urgently needed. Novel antibody microarray, containing 41,472 antibodies, was used for comprehensive analyzing of serum samples from 9 normal subjects and 9 EGFR mutated lung adenocarcinoma patients at three EGFR-TKI treatment time points, including before treatment (Baseline), partial response (PR) during treatment, and disease progression (PD) after resistance. Through microarray data analysis, five candidate antibodies were screened out for confirmation in serum samples and the verified one was utilized for candidate protein identification through immunoprecipitation-mass spectrometry strategy. A novel protein, isoform 2 of fibrinogen alpha chain (FGA2), was revealed and verified in the discovery sample set. Its performance as therapy indicator was further evaluated in another pre-validation sample set (n = 60). Our data confirmed that serum FGA2 level was correlated with EGFR-TKI response (p < 0.05). The expression and secretion of FGA2 in hepatocytes were inhibited by EGFR-TKI, partially explaining the downregulation of FGA2 in serum. Our results demonstrate that FGA2 is an indicator of targeted therapy for EGFR mutated lung adenocarcinoma. KEY MESSAGES: Antibody microarray was coupled with mass spectrometry for proteomics research. FGA2 was discovered as an indicator of EGFR-TKI targeted therapy. FGA2's expression/secretion in hepatocytes was dramatically inhibited by EGFR-TKI.

Cancer Cell Derived Small Extracellular Vesicles Contribute to Recipient Cell Metastasis Through Promoting HGF/c-Met Pathway.

Cancer progression is frequently caused by metastasis and leads to significantly increased mortality. Cell derived extracellular vesicles, including exosomes, in the microenvironment play key roles in cellular signal transduction, whereas their biological function in cancer metastasis and progression needs in-depth investigation. Here, we initially demonstrate that the small extracellular vesicles (sEVs) derived from highly metastatic lung cancer cells exhibited great capacity to promote the progression of recipient cells. Quantitative proteomics was employed to comprehensively decipher the proteome of cell derived sEVs and more than 1400 sEVs proteins were identified. Comparison analysis indicates that sEVs-HGF is a potential metastasis related protein and our verification data from clinical lung cancer plasma samples and in vivo experiments further confirmed the association. We found that sEVs-HGF could induce epithelial-mesenchymal transition and the coordination between HGF and c-Met was confirmed through corresponding target knockdown and kinase inhibition. Our data collectively demonstrate that cancer cell derived sEVs contribute to recipient cell metastasis through promoting HGF/c-Met pathway, which are potential targets for the prevention and treatment of cancer metastasis.

Comparative Proteomic Analysis of Exosomes and Microvesicles in Human Saliva for Lung Cancer.

Extracellular vesicles (EVs) are cell-derived microparticles present in most body fluids, mainly including microvesicles and exosomes. EV-harbored proteins have emerged as novel biomarkers for the diagnosis and prediction of different cancers. We successfully isolated microvesicles and exosomes from human saliva, which were further characterized comprehensively. Salivary EV protein profiling in normal subjects and lung cancer patients was systematically compared through utilizing LC-MS/MS-based label-free quantification. 785 and 910 proteins were identified from salivary exosomes and microvesicles, respectively. According to statistical analysis, 150 and 243 proteins were revealed as dysregulated candidates in exosomes and microvesicles for lung cancer. Among them, 25 and 40 proteins originally from distal organ cells were found in the salivary exosomes and microvesicles of lung cancer patients. In particular, 5 out of 25 and 9 out of 40 are lung-related proteins. Six potential candidates were selected for verification by Western blot, and four of them, namely, BPIFA1, CRNN, MUC5B, and IQGAP, were confirmed either in salivary microvesicles or in exosomes. Our data collectively demonstrate that salivary EVs harbor informative proteins that might be used for the detection of lung cancer through a noninvasive way.