HST-MRM-MS: A Novel High-Sample-Throughput Multiple Reaction Monitoring Mass Spectrometric Method for Multiplex Absolute Quantitation of Hepatocellular Carcinoma Serum Biomarker.

Absolute quantification of clinical biomarkers by mass spectrometry (MS) has been challenged due to low sample-throughput of current multiple reaction monitoring (MRM) methods. For this problem to be overcome, in this work, a novel high-sample-throughput multiple reaction monitoring mass spectrometric (HST-MRM-MS) quantification approach is developed to achieve simultaneous quantification of 24 samples. Briefly, triplex dimethyl reagents (L, M, and H) and eight-plex iTRAQ reagents were used to label the N- and C-termini of the Lys C-digested peptides, respectively. The triplex dimethyl labeling produces three coelute peaks in MRM traces, and the iTRAQ labeling produces eight peaks in MS2, resulting in 24 (3×8) channels in a single experiment. HST-MRM-MS has shown good accuracy ( R2 > 0.98 for absolute quantification), reproducibility (RSD < 15%), and linearity (2-3 orders of magnitude). Moreover, the novel method has been successfully applied in quantifying serum biomarkers in hepatocellular carcinoma (HCC)-related serum samples. In conclusion, HST-MRM-MS is an accurate, high-sample-throughput, and broadly applicable MS-based absolute quantification method.

Reductive Amination Combining Dimethylation for Quantitative Analysis of Early-Stage Glycated Proteins.

Due to the critical role glycation plays in many serious pathological conditions, such as diabetes, it is of great significance to discover protein glycation at an early stage for precaution and prediction of the disease. Here, a method of reductive amination combining dimethylation (RAD) was developed for the quantification of early-stage glycated proteins. The quantitative analysis was first carried out by reducing the samples using NaBH3CN or NaBD3CN, resulting in a 1 Da mass shift and the stabilization of early-stage protein glycation. The two samples were then digested and isotopically dimethylated to achieve the mass shift of 4 m + 3 n ( m represents the number of N-termini and Lys residues, and n represents the number of glycated sites) between light- and heavy-labeled glycated peptides for quantification. Consequently, the false positive result can be removed according to the different mass shifts of glycated peptides and non-glycated peptides. In quantification of glycated myoglobin, RAD showed good linearity ( R2 > 0.99) and reproducibility (CVs ≤ 1.6%) in 2 orders of magnitude (1:10-10:1). RAD was then applied to quantify the endogenous glycated proteins in the serum of diabetic patients, revealing significant differences in the glycation level between the patients with complicated retinal detachment and those without. In conclusion, RAD is an effective method for quantifying endogenous glycated proteins.

IncHI2 Plasmids Are the Key Vectors Responsible for oqxAB Transmission among Salmonella Species.

This study reported and analyzed the complete sequences of two oqxAB-bearing IncHI2 plasmids harbored by a clinical Salmonella enterica serovar Typhimurium strain and an S Indiana strain of animal origin, respectively. In particular, pA3T recovered from S Indiana comprised the resistance determinants oqxAB, aac(6')Ib-cr, fosA3, and blaCTX-M-14 Further genetic screening of 63 oqxAB-positive Salmonella isolates revealed that the majority carried IncHI2 plasmids, confirming that such plasmids play a pivotal role in dissemination of oqxAB in Salmonella spp.

Expanding Radical SAM Chemistry by Using Radical Addition Reactions and SAM Analogues.

Radical S-adenosyl-l-methionine (SAM) enzymes utilize a [4Fe-4S] cluster to bind SAM and reductively cleave its carbon-sulfur bond to produce a highly reactive 5'-deoxyadenosyl (dAdo) radical. In almost all cases, the dAdo radical abstracts a hydrogen atom from the substrates or from enzymes, thereby initiating a highly diverse array of reactions. Herein, we report a change of the dAdo radical-based chemistry from hydrogen abstraction to radical addition in the reaction of the radical SAM enzyme NosL. This change was achieved by using a substrate analogue containing an olefin moiety. We also showed that two SAM analogues containing different nucleoside functionalities initiate the radical-based reactions with high efficiencies. The radical adduct with the olefin produced in the reaction was found to undergo two divergent reactions, and the mechanistic insights into this process were investigated in detail. Our study demonstrates a promising strategy in expanding radical SAM chemistry, providing an effective way to access nucleoside-containing compounds by using radical SAM-dependent reactions.

ITMSQ: A software tool for N- and C-terminal fragment ion pairs based isobaric tandem mass spectrometry quantification.

Tandem MS (MS2) quantification using the series of N- and C-terminal fragment ion pairs generated from isobaric-labelled peptides was recently considered an accurate strategy in quantitative proteomics. However, the presence of multiplexed terminal fragment ion in MS2 spectra may reduce the efficiency of peptide identification, resulting in lower identification scores or even incorrect assignments. To address this issue, we developed a quantitative software tool, denoted isobaric tandem MS quantification (ITMSQ), to improve N- and C-terminal fragment ion pairs based isobaric MS2 quantification. A spectrum splitting module was designed to separate the MS2 spectra from different samples, increasing the accuracy of both identification and quantification. ITMSQ offers a convenient interface through which parameters can be changed along with the labelling method, and the result files and all of the intermediate files can be exported. We performed an analysis of in vivo terminal amino acid labelling labelled HeLa samples and found that the numbers of quantified proteins and peptides increased by 13.64 and 27.52% after spectrum splitting, respectively. In conclusion, ITMSQ provides an accurate and reliable quantitative solution for N- and C-terminal fragment ion pairs based isobaric MS2 quantitative methods.

Direct-S: a directed mass spectrometry method for biomarker verification in native serum.

Serum has been the logical choice and most-used bio-specimen for monitoring biomarkers. However, direct analysis of low-abundance biomarkers in serum is still a problem. Here, we have established a directed mass spectrometry (inclusion list driven MS) method, Direct-S, for direct quantification of protein biomarkers in native serum samples without high-abundance protein depletion or pre-fractionation. In Direct-S, an (18)O-labeling technique was used to produce internal standards of the targeted peptides, and only targeted peptides were selected for tandem mass spectrometry (MS/MS) fragmentation to increase sensitivity and efficiency. The (16)O/(18)O ion pairs of target peptides and the elution time/fragmental pattern of the internal standards were used to facilitate the identification of the low-abundance peptides. Using Direct-S, three candidate biomarkers, α1-antitrypsin (A1AT), galectin-3 binding protein (LG3BP) and cathepsin D (CTSD), which represent different abundance levels, were quantified in serum samples of colorectal cancer (CRC) patients and healthy candidates. Direct-S exhibited good linearity of response from 20 fmol to 0.5 nmol (r > 0.9845). Reliable quantification across five orders of magnitude and as low as 71 pg µL(-1) was achieved in serum samples. In conclusion, Direct-S is a low cost, convenient and accurate method for verifying serum biomarkers.

Proteome profiling of mitotic clonal expansion during 3T3-L1 adipocyte differentiation using iTRAQ-2DLC-MS/MS.

Mitotic clonal expansion (MCE) is one of the important events taking place at the early stage during 3T3-L1 adipocyte differentiation. To investigate the mechanism underlying this process, we carried out a temporal proteomic analysis to profile the dynamic changes in MCE. Using 8-plex-iTRAQ-2DLC-MS/MS analysis, 3152 proteins were quantified during the initial 28 h of 3T3-L1 adipogenesis. Functional analysis was performed on 595 proteins with maximum or minimum quantities at 20 h of adipogenic induction that were potentially involved in MCE, which identified PI3K/AKT/mTOR as the most relevant pathway. Among the 595 proteins, PKM2 (Pyruvate kinase M2), a patterned protein identified as a potential target gene of C/EBPß in our previous work, was selected for further investigation. Network analysis suggested positive correlations among C/EBPß, PIN1, and PKM2, which may be related with the PI3K-AKT pathway. Knockdown of PKM2 with siRNA inhibited both MCE and adipocyte differentiation of 3T3-L1 cells. Moreover, PKM2 was down-regulated at both the mRNA level and the protein level upon the knockdown of C/EBPß. And overexpressed PKM2 can partially restore MCE, although it did not restore terminal adipocyte differentiation, which was inhibited by siC/EBPß. Thus, PKM2, potentially regulated by C/EBPß, is involved in MCE during adipocyte differentiation. The dynamic proteome changes quantified here provide a promising basis for revealing molecular mechanism regulating adipogenesis.

Highly efficient enrichment method for glycopeptide analyses: using specific and nonspecific nanoparticles synergistically.

We invented a new method for highly efficient and specific enrichment of glycopeptides using two different nanomaterials synergistically. One is boronic-acid-functionalized Fe3O4 nanoparticles, enriching glycopeptides through formation of cyclic boronate esters between the boronic acid groups and the cis-diol groups on glycopeptides. The other nanomaterial is conventional poly(methyl methacrylate) nanobeads, which have strong adsorption toward nonglycopeptides. By optimizing the proportion of these two materials, extremely high sensitivity and selectivity are achieved in analyzing the standard glycopeptides/nonglycopeptides mixture solutions. Since the washing step is not necessary for these conditions, the enrichment process is simplified and the recovery efficiency of target glycopeptides reaches 90%. Finally, this approach is successfully applied to analyze human serum with the sample volume as little as 1 µL, in which 147 different N-glycosylation peptides within 66 unique glycoproteins are identified. All these performances by the synergistic enrichment are much better than employing one specific enrichment agent alone.

Global in vivo terminal amino acid labeling for exploring differential expressed proteins induced by dialyzed serum cultivation.

Taking advantage of reliable metabolic labeling and accurate isobaric MS2 quantification, we developed a global in vivo terminal amino acid labeling (G-IVTAL) strategy by combining metabolic labeling and isotopic dimethyl labeling for quantifying tryptic peptides. With G-IVTAL, the scale of qualitative and quantitative data can be increased twofold compared with in vivo termini amino acid labeling (IVTAL) in which Lys-N and Arg-C are used for digestion. As a result, up to 81.78% of the identified proteins have been confidently quantified in G-IVTAL-labeled HepG2 cells. Dialyzed serum has been used in most SILAC studies to ensure complete labeling. However, dialysis requires the removal of low molecular weight hormones, cytokines, and cellular growth factors, which are essential for the cell growth of certain cell lines. To address the influence of dialyzed serum in HepG2 growth, the G-IVTAL strategy was applied to quantify the expression differences between dialyzed serum- and normal serum-cultured HepG2 cells. Finally, we discovered 111 differentially expressed proteins, which could be used as references to improve the reliability of the SILAC quantification. Among these, by using western blotting, the differential expressions of MTDH, BCAP31, and GPC3 were confirmed as being influenced by dialyzed serum. The experimental results demonstrate that the G-IVTAL strategy is a powerful tool to achieve accurate and reliable protein quantification.

The relevance of magnetic resonance imaging in spinal cord decompression sickness: a survey of seven cases.

To investigate the magnetic resonance imaging (MRI) features of spinal cord decompression sickness (DCS) on compressed-air divers, we hereby report seven cases diagnosed with spinal cord DCS. Only two patients out of seven showed positive MRI findings: A detailed case report will be provided on each. In one of the cases, the MRI revealed extensive high signal within the central gray matter of the spinal cord. The other one showed patchy high signal on T2-weighted images as well as diffusion-weighted images (DWI) in the dorsal column white matter of the spinal cord. The findings in our collective suggest that the MRI focused on the spinal cord is not always appropriate for obtaining a quick diagnosis. The discrepancy between MRI findings and clinical evolution leads to the conclusion that MRI focused on the spinal cord does not always correlate with neurological improvement. Decision for hyperbaric oxygen (HBO2) treatment should not be based primarily on MRI findings.

Hyperplex-MRM: a hybrid multiple reaction monitoring method using mTRAQ/iTRAQ labeling for multiplex absolute quantification of human colorectal cancer biomarker.

Novel biomarker verification assays are urgently required to improve the efficiency of biomarker development. Benefitting from lower development costs, multiple reaction monitoring (MRM) has been used for biomarker verification as an alternative to immunoassay. However, in general MRM analysis, only one sample can be quantified in a single experiment, which restricts its application. Here, a Hyperplex-MRM quantification approach, which combined mTRAQ for absolute quantification and iTRAQ for relative quantification, was developed to increase the throughput of biomarker verification. In this strategy, equal amounts of internal standard peptides were labeled with mTRAQ reagents Δ0 and Δ8, respectively, as double references, while 4-plex iTRAQ reagents were used to label four different samples as an alternative to mTRAQ Δ4. From the MRM trace and MS/MS spectrum, total amounts and relative ratios of target proteins/peptides of four samples could be acquired simultaneously. Accordingly, absolute amounts of target proteins/peptides in four different samples could be achieved in a single run. In addition, double references were used to increase the reliability of the quantification results. Using this approach, three biomarker candidates, ademosylhomocysteinase (AHCY), cathepsin D (CTSD), and lysozyme C (LYZ), were successfully quantified in colorectal cancer (CRC) tissue specimens of different stages with high accuracy, sensitivity, and reproducibility. To summarize, we demonstrated a promising quantification method for high-throughput verification of biomarker candidates.

Proteome atlas of human chromosome 8 and its multiple 8p deficiencies in tumorigenesis of the stomach, colon, and liver.

Chromosome 8, a medium-length euchromatic unit in humans that has an extraordinarily high mutation rate, can be detected not only in evolution but also in multiple mutant diseases, such as tumorigenesis, and further invasion/metastasis. The Chromosome-Centric Human Proteome Project of China systematically profiles the proteomes of three digestive organs (i.e., stomach, colon, and liver) and their corresponding carcinoma tissues/cell lines according to a chromosome organizational roadmap. By rigorous standards, we have identified 271 (38.7%), 330 (47.1%), and 325 (46.4%) of 701 chromosome 8-coded proteins from stomach, colon, and liver samples, respectively, in Swiss-Prot and observed a total coverage rate of up to 58.9% by 413 identified proteins. Using large-scale label-free proteome quantitation, we also found some 8p deficiencies, such as the presence of 8p21-p23 in tumorigenesis of the above-described digestive organs, which is in good agreement with previous reports. To our best knowledge, this is the first study to have verified these 8p deficiencies at the proteome level, complementing genome and transcriptome data.

First proteomic exploration of protein-encoding genes on chromosome 1 in human liver, stomach, and colon.

The launch of the Chromosome-Centric Human Proteome Project provides an opportunity to gain insight into the human proteome. The Chinese Human Chromosome Proteome Consortium has initiated proteomic exploration of protein-encoding genes on human chromosomes 1, 8, and 20. Collaboration within the consortium has generated a comprehensive proteome data set using normal and carcinomatous tissues from human liver, stomach, and colon and 13 cell lines originating in these organs. We identified 12,101 proteins (59.8% coverage against Swiss-Prot human entries) with a protein false discovery rate of less than 1%. On chromosome 1, 1,252 proteins mapping to 1,227 genes, representing 60.9% of Swiss-Prot entries, were identified; however, 805 proteins remain unidentified, suggesting that analysis of more diverse samples using more advanced proteomic technologies is required. Genes encoding the unidentified proteins were concentrated in seven blocks, located at p36, q12-21, and q42-44, partly consistent with correlation of these blocks with cancers of the liver, stomach, and colon. Combined transcriptome, proteome, and cofunctionality analyses confirmed 23 coexpression clusters containing 165 genes. Biological information, including chromosome structure, GC content, and protein coexpression pattern was analyzed using multilayered, circular visualization and tabular visualization. Details of data analysis and updates are available in the Chinese Chromosome-Centric Human Proteome Database ( http://proteomeview.hupo.org.cn/chromosome/ ).

Qualitative and quantitative expression status of the human chromosome 20 genes in cancer tissues and the representative cell lines.

Under the guidance of the Chromosome-centric Human Proteome Project (C-HPP), (1, 2) we conducted a systematic survey of the expression status of genes located at human chromosome 20 (Chr.20) in three cancer tissues, gastric, colon, and liver carcinoma, and their representative cell lines. We have globally profiled proteomes in these samples with combined technology of LC-MS/MS and acquired the corresponding mRNA information upon RNA-seq and RNAchip. In total, 323 unique proteins were identified, covering 60% of the coding genes (323/547) in Chr.20. With regards to qualitative information of proteomics, we overall evaluated the correlation of the identified Chr.20 proteins with target genes of transcription factors or of microRNA, conserved genes and cancer-related genes. As for quantitative information, the expression abundances of Chr.20 genes were found to be almost consistent in both tissues and cell lines of mRNA in all individual chromosome regions, whereas those of Chr.20 proteins in cells are different from tissues, especially in the region of 20q13.33. Furthermore, the abundances of Chr.20 proteins were hierarchically evaluated according to tissue- or cancer-related distribution. The analysis revealed several cancer-related proteins in Chr.20 are tissue- or cell-type dependent. With integration of all the acquired data, for the first time we established a solid database of the Chr.20 proteome.

Determination of HER2 binding domain in antigen-antibody complexes based on chemical crosslinking mass spectrometry.

Chemical crosslinking (XL) of non-covalent antigen-antibody complexes followed by mass spectrometric identification (MS) of inter-protein crosslinks can provide spatial constraints between relevant residues, which are valuable structural information associated with the molecular binding interface. To highlight the potential of XL/MS in the biopharmaceutical industry, we herein developed and validated an XL/MS workflow that employed a zero-length linker, 1,1'­carbonyldiimidazole (CDI), and a widely used medium-length linker, disuccinimidyl sulfoxide (DSSO), for fast, accurate determination of antigen domains targeted by therapeutic antibodies. To avoid false identification, system suitability samples and negative samples were designed for all experiments, and all tandem mass spectra were manually examined. To validate the proposed XL/MS workflow, two complexes involving human epidermal growth factor receptor 2 Fc fusion protein (HER2Fc) with known crystal structures, including HER2Fc-pertuzumab and HER2Fc-trastuzumab, have been subjected to CDI and DSSO crosslinking. Crosslinks established by CDI and DSSO between HER2Fc and pertuzumab accurately revealed their interaction interface. CDI crosslinking contributes more than DSSO because of its short spacer arm and high reactivity towards hydroxyl groups, demonstrating its capacity in protein interaction analysis. The correct binding domain cannot be revealed solely based on DSSO in the HER2Fc-trastuzumab complex, because domain proximity revealed by this 7-atom spacer linker cannot be directly translated as binding interfaces. As the first successful XL/MS application in early-stage therapeutic antibody discovery, we analyzed the molecular binding interface between HER2Fc and H-mab, an innovant drug candidate whose paratopes have not been studied yet. We predict that H-mab probably targets HER2 Domain I. The proposed XL/MS workflow can serve as an accurate, fast, and low-cost method to study the interaction between antibodies and large multi-domain antigens. SIGNIFICANCE: This article described a fast, low-consumption approach based on chemical crosslinking mass spectrometry (XL/MS) using two linkers for binding domain determination in multidomain antigen-antibody complexes. Our results highlighted the higher importance of zero-length crosslinks established by CDI than 7-atom DSSO crosslinks, as residue proximity revealed by zero-length crosslinks is closely related to epitope-paratope interaction surfaces. Furthermore, the higher reactivity of CDI towards hydroxyl groups broadens the ranges of possible crosslinks, despite the necessity of delicate operation in CDI crosslinking. We suggest that all established CDI and DSSO crosslinks should be comprehensively considered for correct binding domain analysis because predictions solely based on DSSO might be ambiguous. We have determined the binding interface in the HER2-H-mab using CDI and DSSO, which is the first successful application of XL/MS in real-world early-stage biopharmaceutical development.

Towards Verifying the Imported Soybeans of China Using Stable Isotope and Elemental Analysis Coupled with Chemometrics.

Verifying the geographical origin of soybeans (Glycine max [Linn.] Merr.) is a major challenge as there is little available information regarding non-parametric statistical origin approaches for Chinese domestic and imported soybeans. Commercially procured soybean samples from China (n = 33) and soybeans imported from Brazil (n = 90), the United States of America (n = 6), and Argentina (n = 27) were collected to characterize different producing origins using stable isotopes (δ2H, δ18O, δ15N, δ13C, and δ34S), non-metallic element content (% N, % C, and % S), and 23 mineral elements. Chemometric techniques such as principal component analysis (PCA), linear discriminant analysis (LDA), and BP-artificial neural network (BP-ANN) were applied to classify each origin profile. The feasibility of stable isotopes and elemental analysis combined with chemometrics as a discrimination tool to determine the geographical origin of soybeans was evaluated, and origin traceability models were developed. A PCA model indicated that origin discriminant separation was possible between the four soybean origins. Soybean mineral element content was found to be more indicative of origin than stable isotopes or non-metallic element contents. A comparison of two chemometric discriminant models, LDA and BP-ANN, showed both achieved an overall accuracy of 100% for testing and training sets when using a combined isotope and elemental approach. Our findings elucidate the importance of a combined approach in developing a reliable origin labeling method for domestic and imported soybeans in China.

A comparative authentication study of fresh fruit and vegetable juices using whole juice and sugar-specific stable isotopes.

Not-from-concentrate (NFC) juice has better nutrition, flavor and higher price than reconstituted juice. Accordingly, NFC juice is prone to adulteration and is an ongoing industry problem that has not yet been resolved. Undeclared addition of water and sugar are the main forms of NFC juice adulteration. This paper investigates the carbon and oxygen stable isotope ratios (δ13C and δ18O values) of the bulk juice and different juice components from 21 fruit and vegetable juices, and qualitatively and quantitatively analyzes the addition of water and sugar in NFC juices. The results show that the use of fruit pulp can help to qualitatively and quantitatively indicate the presence of C4 plant sugars in NFC juice, and can reliably detect added C4 plant sugars above 7 %. Sugar-specific isotope analysis (SSIA) technology was used to determine the δ13C values of different sugars (sucrose, glucose and fructose) and carbon content to qualitatively infer C3 plant sugar addition. Pulp extracted from juice had a good linear relationship with the juice water δ18O values (R2 >0.90). The addition of water to NFC juice can also be determined by comparing δ18O values of extraneous water, pulp and filtered juice. Stable isotope technology confirmed NFC juice adulteration of in-market samples using the pulp as an internal reference and was found to be a useful tool to detect adulteration of in-market NFC juice.

Origin verification of French red wines using isotope and elemental analyses coupled with chemometrics.

Origin verification of 240 French wines from four regions of France was undertaken using isotope and elemental analyses. Our aim was to identify and differentiate the geographical origin of these red wines, and more importantly, to build a classification tool that can be used to verify geographic origin of French red wines using machine learning models. Multivariate analyses of the isotopic and elemental data revealed that it is possible to determine the geographical origin of French wines with a high level of confidence for most regions analyzed in this study. The wine verification accuracy of four French wine producing regions of Bordeaux, Burgundy, Languedoc-Roussillon and Rhone using an Artificial Neural Network (ANN) method was 98.2%. The results also show that ANN is more suitable than Discriminant Analysis for this verification purpose. The most important variables for French wine regional traceability were Mg, Mn, Na, Sr, Ti and Rb.

Protective effects of cardiac resynchronization therapy in a canine model with experimental heart failure by improving mitochondrial function: a mitochondrial proteomics study.

PURPOSE: Cardiac resynchronization therapy (CRT) is well acknowledged as an effective treatment for dyssynchronous heart failure. However, the molecular mechanism is unclear to date. Mitochondrial dysfunction and impaired energetic metabolism are two important mechanisms that lead to heart failure. Therefore, we aim to screen the changes of mitochondria-associated proteins and signaling pathways involved in heart failure and CRT treatment. METHODS: A total of 24 beagle dogs were randomly assigned into control (CON), heart failure (HF), or CRT group. Myocardial mitochondria from the free wall of left ventricle was extracted for isobaric tags for relative and absolute quantitation (iTRAQ) labeling coupled with two-dimensional liquid chromatography tandem mass spectrometry analysis (2DLC-MS/MS). RESULTS: A total of 2190 proteins were identified, among which 234 proteins were differentially expressed in HF compared with CON group, 151 proteins were differentially expressed in CRT compared with HF group. A total of 192 of the 234 differentially expressed proteins in HF group were changed oppositely by CRT treatment, and 128 of the 151 CRT-induced differentially expressed proteins showed opposite trend of expression to HF/CON. Gene Ontology analysis of the 128 proteins revealed that 16 were localized in mitochondria, 17 were associated with calcium signaling, and 7 could be secreted extracellularly for cell-to-cell signaling. Calpain-1 (CAPN1), which is localized to mitochondria and related to calcium signaling, was upregulated in HF and downregulated after CRT treatment. CRT treatment also improved mitochondrial morphology and function and reduced collagen areas of both interstitial and perivascular fibrosis. CONCLUSIONS: CRT treatment significantly improved cardiac function, reduced myocardial fibrosis, and enhanced mitochondrial function in the failing heart through CAPN1 downregulation.

Novel proteomic strategy reveal combined alpha1 antitrypsin and cathepsin D as biomarkers for colorectal cancer early screening.

Biomarkers for colorectal cancer (CRC) early diagnosis are currently lacking. The purpose of this study was to interpret molecular events in the early stage of CRC that may bring about new biomarkers for early diagnosis. Methylation isotope labeling assistant gel-enhanced liquid chromatography-mass spectrometry (GeLC-MS) strategy was developed to improve protein identification in quantitative proteome analysis between pooled early stage CRC and pooled normal counterparts. Expression of candidate biomarkers were in situ verified in a 372-dots tissue array, and their relative concentrations in sera were validated in 84 CRC patients and healthy individuals. Altogether, 501 proteins showing consistent differential expression were discovered. Function analysis highlighted the ubiquitination-proteasome and glycolysis/gluconeogenesis pathways as the most regulated pathways in CRC. Two glycol-proteins, alpha1 antitrypsin (A1AT) and cathepsin D (CTSD), which play central role in proteasome regulation, were further examined due to their possible importance in human cancers. Consistent with proteome data, CRC specimens expressed less A1AT and more CTSD than normal counterparts in both tissue and serum levels. By combining CTSD and A1AT, 96.77% of CRC tissues were distinguished from normal tissues by immunohistochemical analysis on a tissue array (P<0.0001). Combined CTSD and A1AT should be strongly considered for clinical use in early diagnosis of early stage CRC, and the methylation assistant GeLC-MS approach is competent for a global quantitative proteome study.