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Molecular variants including single nucleotide variants (SNVs), copy number variants (CNVs) and fusions can be detected in the clinical setting using deep targeted sequencing. These assays support low limits of detection using little genomic input material. They are gaining in popularity in clinical laboratories, where sample volumes are limited, and low variant allele fractions may be present. However, data on reproducibility between laboratories is limited. Using a ring study, we evaluated the performance of 7 Ontario laboratories using targeted sequencing panels. All laboratories analysed a series of control and clinical samples for SNVs/CNVs and gene fusions. High concordance was observed across laboratories for measured CNVs and SNVs. Over 97% of SNV calls in clinical samples were detected by all laboratories. Whilst only a single CNV was detected in the clinical samples tested, all laboratories were able to reproducibly report both the variant and copy number. Concordance for information derived from RNA was lower than observed for DNA, due largely to decreased quality metrics associated with the RNA components of the assay, suggesting that the RNA portions of comprehensive NGS assays may be more vulnerable to variations in approach and workflow. Overall the results of this study support the use of the OFA for targeted sequencing for testing of clinical samples and suggest specific internal quality metrics that can be reliable indicators of assay failure. While we believe this evidence can be interpreted to support deep targeted sequencing in general, additional studies should be performed to confirm this., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: The following authors are employed by Thermo Fisher, who provided in-kind funding (ML, SS, JS) as well as assistance with data analysis (VM). This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Cancers have been associated with a diverse array of genomic alterations. To help mechanistically understand such alterations in breast-invasive carcinoma, we applied affinity purification–mass spectrometry to delineate comprehensive biophysical interaction networks for 40 frequently altered breast cancer (BC) proteins, with and without relevant mutations, across three human breast cell lines. These networks identify cancer-specific protein-protein interactions (PPIs), interconnected and enriched for common and rare cancer mutations, that are substantially rewired by the introduction of key BC mutations. Our analysis identified BPIFA1 and SCGB2A1 as PIK3CA-interacting proteins, which repress PI3K-AKT signaling, and uncovered USP28 and UBE2N as functionally relevant interactors of BRCA1. We also show that the protein phosphatase 1 regulatory subunit spinophilin interacts with and regulates dephosphorylation of BRCA1 to promote DNA double-strand break repair. Thus, PPI landscapes provide a powerful framework for mechanistically interpreting disease genomic data and can identify valuable therapeutic targets.

Human G-protein coupled receptor kinase 6 (GRK6) belongs to the GRK4 kinase subfamily of the G protein-coupled receptor kinase family which comprises of GRK1, GRK2, and GRK4. These kinases phosphorylate ligand-activated G-protein coupled receptors (GPCRs), driving heterotrimeric G protein coupling, desensitization of GPCR, and β-arrestin recruitment. This reaction series mediates cellular signal pathways for cell survival, proliferation, migration and chemotaxis. GRK6 is a kinase target in multiple myeloma since it is highly expressed in myeloma cells compared to epithelial cells and has a significant role in mediating the chemotactic responses of T and B-lymphocytes. To support structure-based drug design, we describe three human GRK6 constructs, GRK6, GRK6 His/EK , and GRK6 His/TEV , designed for protein expression in Spodoptera frugiperda Sf9 insect cells. The first construct did not contain any purification tag whereas the other two constructs contained the His 10 affinity tag, which increased purification yields. We report here that all three constructs of GRK6 were overexpressed in Sf9 insect cells and purified to homogeneity at levels that were suitable for co-crystallization of GRK6 with potential inhibitors. The yields of purified GRK6, GRK6 His/EK , and GRK6 His/TEV were 0.3 mg, 0.8 mg and 0.7 mg per liter of cell culture, respectively. In addition, we have shown that GRK6 His/TEV with the His 10 tag removed was highly homogeneous and monodisperse as observed by dynamic light scattering measurement and actively folded as exhibited by circular dichroism spectroscopy. The described methods will support the structure-based development of additional therapeutics against multiple myeloma., (Copyright © 2021. Published by Elsevier Inc.)

Extracellular vesicles (EVs) are valued candidates for the development of new tools for medical applications. Vesicles carrying melanoma-associated antigen A (MAGEA) proteins, a subfamily of cancer-testis antigens, are particularly promising tools in the fight against cancer. Here, we have studied the biophysical and chemical properties of MAGEA4-EVs and show that they are stable under common storage conditions such as keeping at +4 °C and -80 °C for at least 3 weeks after purification. The MAGEA4-EVs can be freeze-thawed two times without losing MAGEA4 in detectable quantities. The attachment of MAGEA4 to the surface of EVs cannot be disrupted by high salt concentrations or chelators, but the vesicles are sensitive to high pH. The MAGEA4 protein can bind to the surface of EVs in vitro, using robust passive incubation. In addition, EVs can be loaded with recombinant proteins fused to the MAGEA4 open reading frame within the cells and also in vitro. The high stability of MAGEA4-EVs ensures their potential for the development of EV-based anti-cancer applications.

Prostate cancer most frequently metastasizes to bone, resulting in abnormal bone metabolism and the release of components into the blood stream. Here, we evaluated the capacity of convolutional neural networks (CNNs) to use Raman data for screening of prostate cancer bone metastases. We used label-free surface-enhanced Raman spectroscopy (SERS) to collect 1281 serum Raman spectra from 427 patients with prostate cancer, and then we constructed a CNN based on LetNet-5 to recognize prostate cancer patients with bone metastases. We then used 5-fold cross-validation method to train and test the CNN model and evaluated its actual performance. Our CNN model for bone metastases detection revealed a mean training accuracy of 99.51% ± 0.23%, mean testing accuracy of 81.70% ± 2.83%, mean testing sensitivity of 80.63% ± 5.07%, and mean testing specificity of 82.82% ± 2.94%., (Copyright © 2020 Elsevier Inc. All rights reserved.)

The early diagnosis and monitoring of cancers are key factors in effective cancer treatment. Particularly, the separation of biomolecules is an essential step for both diagnostic and analytical purposes. However, the current techniques used to isolate biomolecules are intensive, laborious, and require multiple instruments as well as repeated sample preparations to separate each biomolecule. Thus, an efficient separation system that can simultaneously separate biomolecules from scarce samples is highly desirable. Hence, in this study, we developed a biosilica-based syringe filtration system for the efficient separation of biomolecules from cancer samples using amine-modified diatomaceous earth (AD) with dimethyl 3,3'-dithiobispropionimidate (DTBP). The syringe filter can be an efficient and rapid tool for use in various procedures without complex instruments. The DTBP-based AD system was combined with the syringe filter system for nucleic acid and protein separation from various cancer cells. We demonstrated the efficacy of the DTBP-based AD in a single-filter system for the efficient separation of DNA and proteins within 40 min. This DTBP-based AD syringe filter system showed good rapidity, efficiency, and affordability in the separation of biomolecules from single samples for the early diagnosis and clinical analysis of cancers.

The genomic landscape of breast cancer (BC) is complex. The purpose of this study was to decipher the mutational profiles of Taiwanese patients with BC using next-generation sequencing. We performed whole-exome sequencing on DNA from 24 tumor tissue specimens from BC patients. Sanger sequencing was used to validate the identified variants. Sanger sequencing was also performed on paired adjacent nontumor tissues. After genotype calling and algorithmic annotations, we identified 49 deleterious variants in canonical cancer-related genes in our BC cohort. The most frequently mutated genes were PIK3CA (16.67%), FKBP9 (12.5%), TP53 (12.5%), ATM (8.33%), CHEK2 (8.33%), FOXO3 (8.33%), NTRK1 (8.33%), and NUTM2B (8.33%). Seven mutated variants ( ATR p.V1581fs, CSF1R p.R579Q, GATA3 p.T356delinsTMKS, LRP5 p.W389*, MAP3K1 p.T918fs, MET p.K1161fs, and MTR p.P1178S) were novel variants that are not present in any gene mutation database. After grouping the samples according to molecular subtype, we found that the cell cycle, MAPK, and chemokine signaling pathways in the luminal A subtype of BC; the focal adhesion, axon guidance, and endocytosis pathways in the luminal B subtype; and amyotrophic lateral sclerosis in the basal-like subtype were exclusively altered. Survival curve analysis showed that the presence of the MAPK signaling pathway and endocytosis mutations were correlated with a poor prognosis. These survival data were consistent with cBioPortal analyses of 2,051 BC cases. We discovered novel mutations in patients with BC. These results have implications for developing strategic, adjuvant, and gene-targeted therapies.

Introduction : Despite being rare cancers, gliomas account for a significant number of cancer-related deaths. Identification and treatment of these tumors at an early stage would greatly improve the therapeutic outcomes. There is an urgent need for diagnostic and prognostic markers, which can identify disease early and discriminate the subtypes of these tumors thereby improving the existing treatment modalities. Areas covered : In this article, we have reviewed published literature on proteomics biomarkers for gliomas and their importance in diagnosis or prognosis. Proteomic studies for the discovery of protein, autoantibody biomarkers, and biological pathway alterations in serum, CSF and tumor biopsies have been discussed in this review. Expert opinion : The rapid development in the field of mass spectrometry and increased sensitivity and reproducibility in assays has led to the identification and quantification of large number of proteins very precisely. Though genomic markers are the prime focus in the classification of gliomas, incorporating protein markers would further improve the existing classification. In this regard, data mining and studies on large cohorts of glioma patients would help in the identification of diagnostic and prognostic markers ultimately translating to the clinics.

The protein ALL1 fused from chromosome 1q (AF1q) is overexpressed in a variety of cancers and acts to activate several signaling pathways that lead to oncogenesis. For example, AF1q has been shown to interact with T-cell Factor 7 (TCF7; also known as TCF1) from the Wnt/β-catenin pathway resulting in the transcriptional activation of the CD44 and the enhancement of breast cancer metastasis. Despite the importance of AF1q in facilitating oncogenesis and metastasis, the structural and biophysical properties of AF1q remain largely unexplored due to the absence of a viable method for producing recombinant protein. Here, we report the overexpression of AF1q in E. coli as a fusion to a N-terminal His 6 -tag, which forms inclusion bodies (IBs) during expression. The AF1q protein was purified from IBs under denaturing conditions by immobilized metal affinity chromatography followed by a successful one-step dialysis refolding. Refolded AF1q was further purified to homogeneity by gel filtration chromatography resulting in an overall yield of 35 mg/L culture. Our nuclear magnetic resonance (NMR) and analytical ultracentrifugation (AUC) measurements reveal AF1q interacts with TCF7, specifically with TCF7's high-mobility group (HMG) domain (residues 154-237), which is, to our knowledge, the first biophysical characterization of the AF1q and TCF7 interaction., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Acute respiratory distress syndrome is a severe form of respiratory failure, occurring in up to 20% of patients admitted to the intensive care unit with sepsis. Dysregulated leukocyte diapedesis is a major contributor to acute respiratory distress syndrome. Endocan is a circulating proteoglycan that binds to the leukocyte integrin leukocyte functional antigen-1 and blocks its interaction with its endothelial ligand, ICAM-1. The objective of this study was to evaluate the role of endocan in the control of acute lung inflammation. In vitro, endocan inhibited human leukocyte transendothelial migration as well as ICAM-1-dependent migration but had a very mild effect on ICAM-1-dependent adhesion. Endocan also acted as an inhibitor of transendothelial migration of mouse leukocytes. The effect of systemic administration of recombinant human endocan was assessed in a model of acute lung inflammation in BALB/c mice. Treatment with endocan 1 h after intratracheal LPS challenge reduced the alveolar inflammatory response, diminished histological features of acute lung injury, and improved respiratory function. These results highlight the anti-inflammatory role of human endocan and its protective effect against acute lung injury. NEW & NOTEWORTHY We show here that endocan inhibits ICAM-1-dependent human leukocyte transendothelial migration and ICAM-1-dependent adhesion. We also found that in BALB/c mice with tracheal LPS-induced acute lung injury treatment with recombinant human endocan reduces lung inflammation, notably through reduction of neutrophilic recruitment, and restores normal lung function. These results confirm the hypothesis that human endocan may have a protective effect against acute lung inflammation.

Purpose: We evaluated whether multiplex protein quantification using antibody bar-coding with photocleavable oligonucleotides (NanoString) can be applied to evaluate protein expression in breast cancer FFPE specimens. We also assessed whether diagnostic core-cuts fixed immediately at time of procedures and surgical excision sections from routinely fixed breast cancers are affected by the same fixation related differences noted using immunohistochemistry (IHC)., Methods: The expression of 26 proteins was analysed using NanoString technology in 16 pairs of FFPE breast cancer core-cuts and surgical excisions. The measurements yielded were compared with those by IHC on Ki67, PgR and HER2 biomarkers and pAKT and pERK1/2 phosphorylated proteins., Results: When considered irrespective of sample type, expression measured by the two methods was strongly correlated for all markers (p < 0.001; ρ = 0.69-0.88). When core-cuts and excisions were evaluated separately, the correlations between NanoString and IHC were weaker but significant except for pAKT in excisions. Surgical excisions showed lower levels of 8/12 phosphoproteins and higher levels of 4/13 non-phosphorylated proteins in comparison to core-cuts (p < 0.01). Reduced p4EBP1, pAMPKa, pRPS6 and pRAF1 immunogenicity in excisions was correlated with tumour size and mastectomy specimens showed lower p4EBP1 and pRPS6 expression than lumpectomy (p < 0.05)., Conclusions: Our study supports the validity of the new multiplex approach to protein analysis but indicates that, as with IHC, caution is necessary for the analysis in excisions particularly of phosphoproteins. The specimen type, tumour size and surgery type may lead to biases in the quantitative analysis of many proteins of biologic and clinical interest in excision specimens.

The balance between comprehensively analyzing the proteome and using valuable mass spectrometry time is a genuine challenge in the field of proteomics. Multidimensional fractionation strategies have significantly increased proteome coverage, but often at the cost of increased mass analysis time, despite advances in mass spectrometer acquisition rates. Recently, the Evosep One liquid chromatography system was shown to analyze peptide samples in a high-throughput manner without sacrificing in-depth proteomics coverage. We demonstrate the incorporation of Evosep One technology into our multiplexing workflow for analysis of tandem mass tag (TMT)-labeled nonsmall cell lung carcinoma (NSCLC) patient-derived xenografts (PDXs). By the use of a 30 samples per day Evosep workflow, >12 000 proteins were identified in 48 h of mass spectrometry time, which is comparable to the number of proteins identified by our conventional concatenated EASY-nLC workflow in 60 h. Shorter Evosep gradient lengths reduced the number of protein identifications by 10% while decreasing the mass analysis time by 50%. This Evosep workflow will enable quantitative analysis of multiplexed samples in less time without conceding depth of proteome coverage.

The main objective of this study was to develop an effective in-gel trypsin digestion protocol using aqueous-acetonitrile solvent system to facilitate MS analysis and maximize the number of identified proteins from biological samples. The procedure, where 80% acetonitrile was present in the trypsin reaction mixture, increased the number of matched peptides, and allowed the identification of more proteins with higher coverage than the common digestion protocol. Vimentin, annexins, tubulin, actin, peptidyl-prolyl cis-trans isomerase or alpha-enolase are examples of important proteins that change during the progress cancer. These were isolated from human breast cancer cells and were used for this study., (Copyright © 2019 Elsevier Inc. All rights reserved.)

The cell is constructed by higher-order structures and organelles through complex interactions among distinct structural constituents. The centrosome is a membraneless organelle composed of two microtubule-derived structures called centrioles and an amorphous mass of pericentriolar material. Super-resolution microscopic analyses in various organisms revealed that diverse pericentriolar material proteins are concentrically localized around a centriole in a highly organized manner. However, the molecular nature underlying these organizations remains unknown. Here we show that two human pericentriolar material scaffolds, Cep63 and Cep152, cooperatively generate a heterotetrameric α-helical bundle that functions in conjunction with its neighboring hydrophobic motifs to self-assemble into a higher-order cylindrical architecture capable of recruiting downstream components, including Plk4, a key regulator for centriole duplication. Mutations disrupting the self-assembly abrogate Plk4-mediated centriole duplication. Because pericentriolar material organization is evolutionarily conserved, this work may offer a paradigm for investigating the assembly and function of centrosomal scaffolds in various organisms.

Programmed cell death 5 (PDCD5) is a vital signaling protein in the apoptosis pathway in eukaryotes. It is known that there are two dissociated N-terminal regions and a triple-helix core in eukaryotic PDCD5. Structural and functional studies of PDCD5 from hyperthermophilic archaea have been limited to date. Here, the PDCD5 homolog Sso0352 (SsoPDCD5) was identified in Sulfolobus solfataricus, the SsoPDCD5 protein was expressed and crystallized, and the phase was identified by single-wavelength anomalous diffraction. The native SsoPDCD5 crystal belonged to space group C2 and diffracted to 1.49 Å resolution. This is the first crystal structure of a PDCD5 homolog to be solved. SsoPDCD5 shares a similar triple-helix bundle with eukaryotic PDCD5 but has a long α-helix in the N-terminus. A structural search and biochemical data suggest that SsoPDCD5 may function as a DNA-binding protein.

The efficient extraction of proteins of interest from cells and tissues can be challenging. Here we demonstrate the differences in extraction of the focal adhesion protein Kindlin-2 and the transcriptional repressor Snail from choriocarcinoma cells using NP-40 and RIPA lysis buffer. We also show the use of a more denaturing urea/thiourea lysis buffer for solubilization, by comparing its effectiveness with the often utilized RIPA lysis buffer for solubilization of heat shock proteins (HSP) B1 and B5 and the cytoplasmic adapter protein integrin-linked kinase (ILK) from smooth muscle. Overall, the results demonstrate the importance of optimizing lysis buffers for specific protein solubilization prior to finalizing the experimental workflow.

The human polybromo-1 protein (BAF180) is a known driver mutation in clear cell renal cell carcinoma, where it is mutated in approximately 40% of cases. BAF180 is the chromatin-targeting subunit of the PBAF complex. BAF180 has six bromodomains, two BAH domains, and one HMG box. Bromodomains are known to recognize acetylated-lysines on histones and play a role in nucleosome recognition. BAH domains are required for ubiquitination of PCNA, a key regulator of DNA damage. The putative HMG box, if functional, may be involved in DNA-binding. While the binding specificities of individual bromodomains have been studied by our lab and others, the results have failed to reach a consensus. The acetyl-histone binding features of the full-length protein is unknown and is the motivation for this work. The hypothetical HMG and BAH domains have not been studied and the actual function of these regions is currently unknown. Thus, the precise interactions of this large and complex protein are not well-studied. Advances in understanding this large protein have been hindered by the inability to express and purify recombinant full-length BAF180 protein. Currently, only phenomenological studies using BAF180 expressed in mammalian cells have been conducted. Here, we report the successful expression, purification of full-length biologically active BAF180 protein using the GAP promoter in the heterologous host Pichia pastoris. The ability to express full-length and mutated BAF180 will allow for biophysical binding studies. Knowledge of the binding interactions is critical for us to understand the role of BAF180 in cancer development and its progression., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Efficient extraction of proteins is a great challenge for numerous downstream proteomic analyses. During the protein extraction procedure, it is critical to maintain the conformational stability, integrity, as well as higher yield of the protein. To do so, 5-different lysis buffers of Tris and HEPES have been used as the primary buffering reagents with variable compositions at different concentrations and pH using human cancer cells. In this study, different protein lysates of human breast cancer cells T47D and MDA-MB-231 and ovarian cancer cell PA-1 were subjected to run SDS-PAGE for separation of proteins based on their molecular size, followed by Coomassie blue, silver staining, and immunoblot assays to compare the extraction yield of total cytoplasmic proteins, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and the integral membrane protein, integrin β-1. Our results revealed that Tris-based lysis buffer with 50 mM concentration, pH 7.5, is relatively the efficient and reliable protein extraction method for a wide range of MW subcellular markers, cytoplasmic GAPDH and transmembrane integrin β-1 proteins. We anticipate that this simple and cost-effective protein extraction protocol might be extremely useful across a broad range of subcellular proteins in different biologic samples.

We report a new NMR-scale purification procedure for two recombinant wild type fragments of the stromal interaction molecule 1 (STIM1). This protein acts as a calcium sensor in the endoplasmic reticulum (ER) and extends into the cytosol accumulating at ER - plasma membrane (PM) junctions upon calcium store depletion ultimately leading to activation of the Orai/CRAC channel. The functionally relevant cytosolic part of STIM1 consists of three coiled coil domains, which are mainly involved in intra- and inter-molecular homomeric interactions as well as coupling to and gating of CRAC channels. The optimized one-step rapid purification procedure for two 15 N, 13 C isotope-labeled cytosolic coiled coil fragments, which avoids the problems of previous approaches. The high yields of soluble well folded 15 N, 13 C isotope-labeled cytosolic coiled coil fragments followed by detergent screening provide for initial NMR characterization of these domains. The longer 30.5 kDa fragment represents the largest STIM1 wild type fragment that has been recombinantly prepared and characterized in solution without need for mutation or refolding., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)

In this work we present acetonitrile as a tool to modulate the dynamic range of the proteome of complex samples. Different concentrations of acetonitrile ranging from 15% v/v to 65% v/v were used to modulate the protein content of serum samples from healthy people and patients with lymphoma and myeloma. We show that the proteome above 70 kDa is pelleted as a function of the concentration of acetonitrile and that profiling with PCA or Clustering is only possible using the supernatants obtained for concentrations of acetonitrile higher than 45% v/v or the pellets for concentrations of acetonitrile of 35% and 45%. The differentiation and classification of the three groups of sera samples (healthy, lymphoma and myeloma) were possible using acetonitrile at 55% v/v concentration. This work opens new avenues for the application of acetonitrile as a cost-effective tool in proteomics applications., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Mutations of the KRAS gene are found in human cancers with high frequency and result in the constitutive activation of its protein products. This leads to aberrant regulation of downstream pathways, promoting cell survival, proliferation, and tumorigenesis that drive cancer progression and negatively affect treatment outcomes. Here, we describe a workflow that can detect and quantify mutation-specific consequences of KRAS biochemistry, namely linked changes in posttranslational modifications (PTMs). We combined immunoaffinity enrichment with detection by top-down mass spectrometry to discover and quantify proteoforms with or without the Gly13Asp mutation (G13D) specifically in the KRAS4b isoform. The workflow was applied first to isogenic KRAS colorectal cancer (CRC) cell lines and then to patient CRC tumors with matching KRAS genotypes. In two cellular models, a direct link between the knockout of the mutant G13D allele and the complete nitrosylation of cysteine 118 of the remaining WT KRAS4b was observed. Analysis of tumor samples quantified the percentage of mutant KRAS4b actually present in cancer tissue and identified major differences in the levels of C-terminal carboxymethylation, a modification critical for membrane association. These data from CRC cells and human tumors suggest mechanisms of posttranslational regulation that are highly context-dependent and which lead to preferential production of specific KRAS4b proteoforms., Competing Interests: The authors declare no conflict of interest.

Cancer procoagulant (CP), a direct activator of coagulation factor X, is among one of the tumour cell products or activities which may promote fibrin formation and has been suggested to be selectively associated with the malignant phenotype. At present, the most reliable assay for the quantification of CP activity is the three-stage chromogenic assay which utilises the ability of CP to activate factor X. In this assay, the activation of factor X leads to the formation of activated thrombin from prothrombin and the eventual hydrolyses of a thrombin chromogenic substrate which contains a p-nitroaniline leaving group. The complexity of the three-stage chromogenic assay suggests a need for a direct method of assaying CP activity. This study focuses on the design of a fluorogenic substrate that would enable the direct quantification of CP activity. The results of the study show two promising substrates for the determination of CP activity: Boc-PQVR-AMC and PQVR-AMC. Further analysis showed that Boc-PQVR-AMC could be excluded as a potential substrate for CP since it was also cleaved by collagenase.

Reactive pentafluorophenyl acrylate (PFPA) polymer brushes grafted on silica particles were prepared using surface-initiated reversible addition and fragmentation chain transfer polymerization. The polymer brush was successfully immobilized with antibody, then used for protein separation. The immunoprecipitated proteins showed successful enrichment of target protein, with reduced nonspecific background and less contamination from eluted antibodies. To further improve protein recovery, the hydrophobic poly(PFPA) brush was modified with hydrophilic poly(ethylene glycol) (PEG). The partially PEG-substituted poly(PFPA) brush showed better dispersion in aqueous solution, leading to improved antibody immobilization efficiency. By optimizing both the brush molecular weight and the degree of PEG substitution, an optimal balance between surface hydrophilicity and number of available PFP units was found, leading to efficient target protein purification. This study shows that poly(PFPA) platform offers a versatile approach to prepare biomolecule-activated surfaces with tunable surface property, which has potential applications in protein separation and other areas.

The extraction of membrane proteins remain a challenge due to innate hydrophobicity, dynamic discrepancy, and restrain effect of membrane lipids. Nanomaterials with high surface area have competency of hydrophobic-hydrophobic lipid interactions. It is shown here that both graphene and graphene oxide dissolved in solubilization buffer are viable sorbents for efficient extraction of membrane proteins. LC-MS/MS analysis further revealed that graphene (50-200 nm) and graphene oxide (50-200 nm) can enrich more kinds of membrane proteins than a commercially available kit. Graphene was further applied to the enrichment of membrane proteins of normal cells as well as cancer cells, and 1079 and 872 proteins were identified, respectively, among which 56.5% and 60.5% were membrane proteins. In particular, 241 proteins were significantly regulated in cancer cells. Gene expression of 15 proteins was verified by qRT-PCR, and 4 of them were further quantified by immunoassay. These data collectively demonstrate that graphene has great potential to improve membrane protein extractions and thus can serve downstream cancer proteomics. Graphical abstract Two dimensional carbon nanomaterials, including graphene and graphene oxide, were employed as solid matrix to avoid lipid bilayer interference and enhance the extraction efficiency of membrane and membrane associated proteins. The strategy will benefit downstream membrane proteomics analysis.

Background & Objectives: Ocular and adnexal tumours are important causes of morbidity in India and globally. Immunohistochemistry (IHC) is a vital molecular pathology tool, which helps to diagnose a tumour with more accuracy. The present study was undertaken to document the profile of ocular and adnexal tumour with IHC at a tertiary eye care center in Northeast India., Methods: This was a prospective and laboratory-based study. Histopathological and IHC study of the ocular and adnexal tumour was carried out from 2012 to 2014. Selection of pathological cases was made on the result of the histological diagnosis. All samples were subjected to IHC using kits for different antibodies as per indications., Results: In total, 645 tumours were included in our study, with 449 benign conditions and 196 were malignant tumours. Total IHCs were done in 87 tumours and 238 of antibodies were used. Non-Hodgkin's lymphomas (B-cell, low-to-intermediate type and mucosal-associated lymphoid tumours) were the most common tumor., Interpretation & Conclusions: Clinical utility of the IHCs in different ophthalmic tumours can enable pathologists to make an accurate diagnosis and thus help in the overall management of the patient care. IHC may be carried out using various methods and some of the methods practiced are time consuming and tedious. In this study, kit methods were used which were found to be simpler and less time-consuming., Competing Interests: None

Membrane proteins govern many important functions in cells via dynamic oligomerization into active complexes. However, analytical methods to study their distribution and functional state in relation to the cellular structure are currently limited. Here, we introduce a technique for studying single-membrane proteins within their native context of the intact plasma membrane. SKBR3 breast cancer cells were grown on silicon microchips with thin silicon nitride windows. The cells were fixed, and the epidermal growth factor receptor ErbB2 was specifically labeled with quantum dot (QD) nanoparticles. For correlative fluorescence- and liquid-phase electron microscopy, we enclosed the liquid samples by chemical vapor deposited (CVD) graphene films. Depending on the local cell thickness, QD labels were imaged with a spatial resolution of 2 nm at a low electron dose. The distribution and stoichiometric assembly of ErbB2 receptors were determined at several different cellular locations, including tunneling nanotubes, where we found higher levels of homodimerization at the connecting sites. This experimental approach is applicable to a wide range of cell lines and membrane proteins and particularly suitable for studies involving both inter- and intracellular heterogeneity in protein distribution and expression.

Over the past decade, matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry (MALDI‑TOF MS) has been established as a valuable platform for microbial identification, and it is also frequently applied in biology and clinical studies to identify new markers expressed in pathological conditions. The aim of the present study was to assess the potential of using this approach for the classification of cancer cell lines as a quantifiable method for the proteomic profiling of cellular organelles. Intact protein extracts isolated from different tumor cell lines (human and murine) were analyzed using MALDI‑TOF MS and the obtained mass lists were processed using principle component analysis (PCA) within Bruker Biotyper® software. Furthermore, reference spectra were created for each cell line and were used for classification. Based on the intact protein profiles, we were able to differentiate and classify six cancer cell lines: two murine melanoma (B16‑F0 and B164A5), one human melanoma (A375), two human breast carcinoma (MCF7 and MDA‑MB‑231) and one human liver carcinoma (HepG2). The cell lines were classified according to cancer type and the species they originated from, as well as by their metastatic potential, offering the possibility to differentiate non‑invasive from invasive cells. The obtained results pave the way for developing a broad‑based strategy for the identification and classification of cancer cells.

Invasion is a hallmark of advanced head and neck squamous cell carcinoma (HNSCC). We previously determined that low relative miR-375 expression was associated with poor patient prognosis. HNSCC cells with increased miR-375 expression have lower invasive properties and impaired invadopodium activity. Using stable isotope labeling with amino acids in cell culture and reverse-phase liquid chromatography mass spectrometry, we assessed the impact of miR-375 expression on protein levels in UM-SCC-1 cells. Increased miR-375 expression was associated with down-regulation of proteins involved in cellular assembly and organization, death and survival, and movement. Two invasion-associated proteins, vimentin and L-plastin, were strongly down-regulated by miR-375. Luciferase reporter assays demonstrated that high miR-375 expression reduced vimentin promoter activity, suggesting that vimentin is an indirect target of miR-375. Runt-related transcription factor 1 (RUNX1) is a potential miR-375 direct target, and its knockdown reduced vimentin and L-plastin expression. Data in The Cancer Genome Atlas HNSCC database showed a significant inverse correlation between miR-375 expression and RUNX1, vimentin, and L-plastin RNA expression. These clinical correlations validate our in vitro model findings and support a mechanism in which miR-375 suppresses RUNX1 levels, resulting in reduced vimentin and L-plastin expression. Furthermore, knockdown of RUNX1, L-plastin, and vimentin resulted in significant reductions in cell invasion in vitro, indicating the functional significance of miR-375 regulation of specific proteins involved in HNSCC invasion., (Copyright © 2017 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.)

Background: Exosomes, cell-derived vesicles encompassing lipids, DNA, proteins coding genes and noncoding RNAs (ncRNAs) are present in diverse body fluids. They offer novel biomarker and drug therapy potential for diverse diseases, including cancer., Materials and Methods: Using gene ontology, exosomal genes database and GeneCards metadata analysis tools, a database of cancer-associated protein coding genes and ncRNAs (n=2,777) was established. Variant analysis, expression profiling and pathway mapping were used to identify putative pancreatic cancer exosomal gene candidates., Results: Five hundred and seventy-five protein-coding genes, 26 RNA genes and one pseudogene directly associated with pancreatic cancer were identified in the study. Nine open reading frames (ORFs) encompassing enzymes, apoptosis and transcriptional regulators, and secreted factors and five cDNAs (enzymes) emerged from the analysis. Among the ncRNA class, 26 microRNAs (miRs), one pseudogene, one long noncoding RNA (LNC) and one antisense gene were identified. Furthermore, 22 exosome-associated protein-coding targets (a cytokine, enzymes, membrane glycoproteins, receptors, and a transporter) emerged as putative leads for pancreatic cancer therapy. Seven of these protein-coding targets are FDA-approved and the drugs-based on these could provide repurposing opportunities for pancreatic cancer., Conclusion: The database of exosomal genes established in this study provides a framework for developing novel biomarkers and drug therapy targets for pancreatic cancer., (Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Plentiful studies have established a close association between aberrant phosphorylation and hepatocellular carcinoma (HCC). Here, we applied a quantitative phosphoproteomics platform combining dimethylation labeling and online 3D strong cation exchange chromatography (SCX)-titanium oxide (TiO 2 )/RP-LTQ-Orbitrap to compare phosphoproteomes between three pairs of HCC tissues and non-tumor counterparts. This analysis yielded 7868 quantifiable phosphopeptides and numerous up- or down-regulated candidates. Increased phosphorylation of LMNA and NIPA was confirmed using specific antibodies. To expand our verification capability, we evaluated the use of LTQ-Orbitrap run in SIM/Accurate inclusion mass screening (AIMS) mode with a super-SILAC mixture as an internal standard to quantify a subset of phosphopeptide candidates in HCC tissue samples. In sample I used for discovery experiment, we successfully quantified 32 (in SIM mode) and 30 (in AIMS mode) phosphopeptides with median coefficients of variation (CVs) of 7.5% and 8.3%, respectively. When the assay was applied to other three pairs of HCC specimens for verification experiment, 40 target phosphopeptides were quantified reliably (~7.5% CV), and more than half of them were differentially expressed between tumor and adjacent non-tumor tissues. Collectively, these results indicate the feasibility of using super-SILAC mix-SIM/AIMS assays for targeted verification of phosphopeptides discovered by large-scale phosphoproteome analyses of HCC specimens., Significance: In this study, we developed a strategy for conducting both discovery and targeted verification of deregulated phosphoproteins in HCC tissue specimens on LTQ-Orbitrap. This strategy allowed us to generate a quantitative HCC tissue phosphoproteome dataset containing significantly deregulated phosphoproteins that represents a valuable resource for the identification of potential HCC biomarkers and/or therapeutic targets. Furthermore, our proof-of-concept experiments demonstrated the feasibility of applying LTQ-Orbitrap, operated in SIM/AIMS mode, to multiplex and targeted verification of phosphopeptides in individual tissue specimens using a super-SILAC mix as an internal phosphopeptide standard. This method could be readily applied to verify dozens of phosphopeptide candidates in a larger HCC sample set., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Quantitative proteomics represents a powerful approach for the comprehensive analysis of proteins expressed under defined conditions. These properties have been used to investigate the proteome of disease states, including cancer. It has become a major subject of studies to apply proteomics for biomarker and therapeutic target identification. In the last decades, technical advances in mass spectrometry have increased the capacity of protein identification and quantification. Moreover, the analysis of posttranslational modification (PTM), especially phosphorylation, has allowed large-scale identification of biological mechanisms. Even so, increasing evidence indicates that global protein quantification is often insufficient for the explanation of biology and has shown to pose challenges in identifying new and robust biomarkers. As a consequence, to improve the accuracy of the discoveries made using proteomics in human tumors, it is necessary to combine (i) robust and reproducible methods for sample preparation allowing statistical comparison, (ii) PTM analyses in addition to global proteomics for additional levels of knowledge, and (iii) use of bioinformatics for decrypting protein list. Herein, we present technical specificities for samples preparation involving isobaric tag labeling, TiO 2 -based phosphopeptides enrichment and hydrazyde-based glycopeptides purification as well as the key points for the quantitative analysis and interpretation of the protein lists. The method is based on our experience with tumors analysis derived from hepatocellular carcinoma, chondrosarcoma, human embryonic intervertebral disk, and chordoma experiments., (© 2017 Elsevier Inc. All rights reserved.)

Colorectal cancer (CRC) is the third leading cause of cancer mortality for both men and women, and the second leading cause of cancer death for men and women combined. If detected early, before metastasis has occurred, survival following surgical resection of the tumor is >90%. Early detection is therefore critical for effective disease surveillance. Unfortunately, current biomarker assays lack the necessary sensitivity and specificity for reliable early disease detection. Development of new robust, non- or minimally invasive specific and sensitive biomarkers or panels with improved compliance and performance is therefore urgently required. The use of fecal samples offers several advantages over other clinical biospecimens (e.g., plasma or serum) as a source of CRC biomarkers, including: collection is noninvasive, the test can be performed at home, one is not sample limited, and the stool effectively samples the entire length of the inner bowel wall contents (including tumor) as it passes down the gastrointestinal tract. Recent advances in mass spectrometry now facilitate both the targeted discovery and validation of potential CRC biomarkers. We describe, herein, detailed protocols that can be used to mine deeply into the fecal proteome to reveal candidate proteins, identify proteotypic/unitypic peptides (i.e., peptides found in only a single known human protein that serve to identify that protein) suitable for sensitive and specific quantitative multiplexed analysis, and undertake high-throughput analysis of clinical samples. Finally, we discuss future directions that may further position this technology to support the current switch in translation research toward personalized medicine., (© 2017 Elsevier Inc. All rights reserved.)

Cell microenvironment consists of various types of cells which communicate with each other by vast number of secreted proteins. An unbiased profiling of these secreted proteins on a global scale is often critical for understanding the intercellular signaling in an autocrine or paracrine manner. Mass spectrometry-based proteomics has become one of the most popular technology for characterization of the secreted proteins. In this chapter, we discuss the standard workflow for secreted proteins characterization, including harvesting secreted proteins from conditioned media, digesting the obtained proteins, liquid chromatography-mass spectrometry analysis, and downstream data analysis.

Background: Prostate cancer (CP) cells differ from their normal counterpart in gene expression. Genes encoding secreted or extracellular proteins with increased expression in CP may serve as potential biomarkers. For their detection and quantification, assays based on monoclonal antibodies are best suited for development in the clinical setting. One approach to obtain antibodies is to use recombinant proteins as immunogen. However, the synthesis of recombinant protein for each identified candidate is time-consuming and expensive. It is also not practical to generate high quality antibodies to all identified candidates individually. Furthermore, non-native forms (e.g., recombinant) of proteins may not always lead to useful antibodies. Our approach was to purify a subset of proteins from CP tissue specimens for use as immunogen., Methods: In the present investigation, ten cancer specimens obtained from cases scored Gleason 3+3, 3+4 and 4+3 were digested by collagenase to single cells in serum-free tissue culture media. Cells were pelleted after collagenase digestion, and the cell-free supernatant from each specimen were pooled and used for isolation of proteins in the 10-30 kDa molecular weight range using a combination of sonication, dialysis and Amicon ultrafiltration. Western blotting and mass spectrometry (MS) proteomics were performed to identify the proteins in the selected size fraction., Results: The presence of cancer-specific anterior gradient 2 (AGR2) and absence of prostate-specific antigen (PSA)/KLK3 were confirmed by Western blotting. Proteomics also detected AGR2 among many other proteins, some outside the selected molecular weight range, as well., Conclusions: Using this approach, the potentially harmful (to the mouse host) exogenously added collagenase was removed as well as other abundant prostatic proteins like ACPP/PAP and AZGP1 to preclude the generation of antibodies against these species. The paper presents an optimized scheme for convenient and rapid isolation of native proteins in any desired size range with minor modifications.

Fucosylation of N-glycoproteins has been implicated in various diseases, such as hepatocellular carcinoma (HCC). However, few studies have performed site-specific analysis of fucosylation in liver-secreted proteins. In this study, we characterized the fucosylation patterns of liver-secreted proteins in HCC plasma using a workflow to identify site-specific N-glycoproteins, where characteristic B- and/or Y-ion series with and without fucose in collision-induced dissociation were used in tandem mass spectrometry. In total, 71 fucosylated N-glycopeptides from 13 major liver-secreted proteins in human plasma were globally identified by LC-MS/MS. Additionally, 37 fucosylated N-glycopeptides were newly identified from nine liver-secreted proteins, including alpha-1-antichymotrypsin, alpha-1-antitrypsin, alpha-2-HS-glycoprotein, ceruloplasmin, alpha-1-acid glycoprotein 1/2, alpha-2-macroglobulin, serotransferrin, and beta-2-glycoprotein 1. Of the fucosylated N-glycopeptides, bi- and tri-antennary glycoforms were the most common ones identified in liver-secreted proteins from HCC plasma. Therefore, we suggest that this analytical method is effective for characterizing fucosylation in liver-secreted proteins. Graphical abstract A global map of fucosylated and non-fucosylated glycopeptides from 13 liver-secreted glycoproteins in hepatocellular carcinoma plasma.

ABC multidrug transporters are key players in cancer multidrug resistance and in determining the ADME-Tox properties of drugs and xenobiotics. The most sensitive and specific detection of these transporters is based on functional assays. Assessment of the transporter-dependent reduction of cellular uptake of the fluorescent dyes, such as Hoechst 33342 (Ho) and more recently DyeCycle Violet (DCV), have been widely advocated for the characterization of both ABCB1 and ABCG2 multidrug transporters. Detailed comparison of these supravital DNA-binding dyes revealed that DCV is less toxic to ABCG2- and ABCB1-expressing cells than Ho. ATPase measurements imply that DCV and Ho are similarly handled by ABCB1, whereas ABCG2 seems to transport DVC more effectively. In addition, we have developed an image-based high content microscopy screening method for simultaneous in situ measurement of the cellular activity and expression of the ABCG2 multidrug transporter. We demonstrated the applicability of this method for identifying ABCG2-positive cells in heterogeneous cell population by a single dye uptake measurement. These results may promote multidrug transporter studies at a single cell level and allow the quantitative detection of clinically important drug-resistant sub-populations. © 2016 International Society for Advancement of Cytometry., (© 2016 International Society for Advancement of Cytometry.)

Objective: The continuous discovery of biomarkers and their evolving use for the diagnosis and guidance of therapy for patients with cancer has increased awareness of the need to triage biospecimens properly. On occasion, cytology samples are the only type of biospecimen available for analysis. Often, the current approach for these latter specimens is cytopathology-centric, with cells limited to examination by bright field microscopy. When specimens are paucicellular, there is often insufficient material for ancillary testing. Therefore, a need exists to develop an alternative approach that allows for the multiplexed analysis of cells when they are limited in number. In recent previous publications, we demonstrated that clinically derived cells from tissue are suitable for evaluation in a microfluidic device. In our current endeavour, we seek to expand upon those findings and determine if those same cells can be recovered for further analysis., Methods: A microfluidic channel was designed, fabricated and tested using cytology specimens generated from tissue specimens. The cytological features of the cells tested were examined prior to entering the channel; they were then compared to similar cells while in the channel, and upon recovery from the channel. Recovery of DNA and proteins were also tested., Results: The morphology of the tested cells was not compromised in either the channel or upon recovery. More importantly, the integrity of the cells remained intact, with the recovery of proteins and high molecular weight DNA possible., Conclusions: We developed and tested an alternative approach to the processing of cytopathology specimens that enables multiplexed evaluation. Using microfluidics, cytological examination of biopecimens can be performed, but in contrast to existing approaches, the same cells examined can be recovered for downstream analysis., (© 2015 John Wiley & Sons Ltd.)

Genomic and proteomic data were integrated into the proteogenomic workflow to identify coding genomic variants of Human Embryonic Kidney 293 (HEK-293) cell line at the proteome level. Shotgun proteome data published by Geiger et al. (2012), Chick et al. (2015), and obtained in this work for HEK-293 were searched against the customized genomic database generated using exome data published by Lin et al. (2014). Overall, 112 unique variants were identified at the proteome level out of ∼1200 coding variants annotated in the exome. Seven identified variants were shared between all the three considered proteomic datasets, and 27 variants were found in any two datasets. Some of the found variants belonged to widely known genomic polymorphisms originated from the germline, while the others were more likely resulting from somatic mutations. At least, eight of the proteins bearing amino acid variants were annotated as cancer-related ones, including p53 tumor suppressor. In all the considered shotgun datasets, the variant peptides were at the ratio of 1:2.5 less likely being identified than the wild-type ones compared with the corresponding theoretical peptides. This can be explained by the presence of the so-called "passenger" mutations in the genes, which were never expressed in HEK-293 cells. All MS data have been deposited in the ProteomeXchange with the dataset identifier PXD002613 (http://proteomecentral.proteomexchange.org/dataset/PXD002613)., (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Bladder cancer is common and widespread, and its incidence is increasing. Many new diagnostic methods combined with state-of-the-art technology have been introduced in cystoscopy to collect real-time images of the bladder mucosa for diagnosis, but often miss inconspicuous early-stage tumors. Fluorophore-labeled peptides with high sensitivity and specificity for cancer would be a desirable tool for the detection and treatment of tiny or residual bladder tumors. Phage display and the human non-muscle-invasive bladder cancer cell line BIU-87 were used to identify a peptide. The isolated phage display peptide (CSSPIGRHC, named NYZL1) was tested in vitro for its binding specificity and affinity. Accumulation into xenograft tumors in a nude mouse model was analyzed with FITC-labeled NYZL1. NYZL1, with strong tumor‑homing ability, was identified by in vivo phage library selection in the bladder cancer model. The NYZL1 phage and synthetic FITC-labeled NYZL1 peptides bound to tumor tissues and cells, but were hardly detected in normal control organs. Notably, accumulation of FITC-NYZL1 in bladder tumor cells was time-dependent. Biodistribution studies of xenografts of BIU-87 cells showed accumulation of injected FITC-NYZL1 in the tumors, and the bound peptide could not be removed by perfusion after 24 h. The mouse model of bladder tumor showed increased fluorescence intensity in the tumor-bearing bladder in comparison with normal bladder tissues after 4-6 h. In conclusion, NYZL1 may represent a lead peptide structure applicable in the development of optical molecular imaging.

Many types of diagnostic technologies have been reported for DNA methylation, but they require a standard curve for quantification or only show moderate accuracy. Moreover, most technologies have difficulty providing information on the level of methylation at specific contiguous multi-sites, not to mention easy-to-use detection to eliminate labor-intensive procedures. We have addressed these limitations and report here a cascade strategy that combines proportion competitive quantitative PCR (PCQ-PCR) and lateral flow nucleic acid biosensor (LFNAB), resulting in accurate and easy-to-use assessment. The P16 gene with specific multi-methylated sites, a well-studied tumor suppressor gene, was used as the target DNA sequence model. First, PCQ-PCR provided amplification products with an accurate proportion of multi-methylated sites following the principle of proportionality, and double-labeled duplex DNA was synthesized. Then, a LFNAB strategy was further employed for amplified signal detection via immune affinity recognition, and the exact level of site-specific methylation could be determined by the relative intensity of the test line and internal reference line. This combination resulted in all recoveries being greater than 94%, which are pretty satisfactory recoveries in DNA methylation assessment. Moreover, the developed cascades show significantly high usability as a simple, sensitive, and low-cost tool. Therefore, as a universal platform for sensing systems for the detection of contiguous multi-sites of DNA methylation without external standards and expensive instrumentation, this PCQ-PCR-LFNAB cascade method shows great promise for the point-of-care diagnosis of cancer risk and therapeutics., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Esophageal cancer is often diagnosed at an advanced stage. Diagnostic markers are needed for achieving a cure in esophageal cancer detecting and treating tumor cells earlier. In patients with locally advanced squamous cell carcinoma of the esophagus (ESCC), we profiled the gene expression of ESCC compared to corresponding normal biopsies for diagnostic markers by genome microarrays. Profiling of gene expression identified 4844 genes differentially expressed, 2122 upregulated and 2722 downregulated in ESCC. Twenty-three overexpressed candidates with best scores from significance analysis have been selected for further analysis by TaqMan low-density array-technique using a validation cohort of 40 patients. The verification rate was 100 % for ESCC. Twenty-two markers were additionally overexpressed in adenocarcinoma of the esophagus (EAC). The markers significantly overexpressed already in earlier tumor stages (pT1-2) of both histological subtypes (n = 19) have been clustered in a "diagnostic signature": PLA2G7, PRAME, MMP1, MMP3, MMP12, LIlRB2, TREM2, CHST2, IGFBP2, IGFBP7, KCNJ8, EMILIN2, CTHRC1, EMR2, WDR72, LPCAT1, COL4A2, CCL4, and SNX10. The marker signature will be translated to clinical practice to prove its diagnostic impact. This diagnostic signature may contribute to the earlier detection of tumor cells, with the aim to complement clinical techniques resulting in the development of better detection of concepts of esophageal cancer for earlier therapy and more favorite prognosis.

Despite many technological and computational advances, the results of a mass spectrometry proteomics experiment are still subject to a large variability. For the understanding and evaluation of how technical variability affects the results of an experiment, several computationally derived quality control metrics have been introduced. However, despite the availability of these metrics, a systematic approach to quality control is often still lacking because the metrics are not fully understood and are hard to interpret. Here, we present a toolkit of powerful techniques to analyze and interpret multivariate quality control metrics to assess the quality of mass spectrometry proteomics experiments. We show how unsupervised techniques applied to these quality control metrics can provide an initial discrimination between low-quality experiments and high-quality experiments prior to manual investigation. Furthermore, we provide a technique to obtain detailed information on the quality control metrics that are related to the decreased performance, which can be used as actionable information to improve the experimental setup. Our toolkit is released as open-source and can be downloaded from https://bitbucket.org/proteinspector/qc&#95;analysis/ .

Heat shock protein 72 (HSP72) is an intracellular molecular chaperone that is overexpressed in tumor cells, and has also been detected in extracellular regions such as the blood. HSP72 forms complexes with peptides and proteins that are released from tumors. Accordingly, certain HSP72-binding proteins/peptides present in the blood of cancer patients may be derived from tumor cells. In this study, to effectively identify low-abundance proteins/peptides in the blood as tumor markers, we established a method for isolating HSP72-binding proteins/peptides from serum. Nine HSP72-specific monoclonal antibodies were conjugated to N-hydroxysulfosuccinimide-activated Sepharose beads (NHq) and used to isolate HSP72 complexes from serum samples. Precipitated proteins were then identified by LC-MS/MS analysis. Notably, this approach enabled the isolation of low-abundance proteins from serum without albumin removal. Moreover, by subjecting the serum samples of ten patients with multiple myeloma (MM) to NHq analysis, we identified 299 proteins present in MM HSP72 complexes, including 65 intracellular proteins. Among the intracellular proteins detected, 21 were present in all serum samples tested, while 11 were detected in both the conditioned media from cultured multiple myeloma cells and serum from MM patients. These results suggest that the NHq method can be applied to discover candidate tumor markers., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Protein kinases have emerged as an important class of therapeutic targets, as they are known to be involved in pathological pathways linked to numerous human disorders. Major efforts to discover kinase inhibitors in both academia and pharmaceutical companies have centered on the development of robust assays and cost-effective approaches to isolate them. Drug discovery procedures often start with hit identification for lead development, by screening a library of chemicals using an appropriate assay in a high-throughput manner. Considering limitations unique to each assay technique and screening capability, intelligent integration of various assay schemes and level of throughput, in addition to the choice of chemical libraries, is the key to success of this initial step. Here, we describe the purification of the protein kinase, eEF-2K, and the utilization of three biochemical assays in the course of identifying small molecules that block its enzymatic reaction.

The identification of arsenic direct-binding proteins is essential for determining the mechanism by which arsenic trioxide achieves its chemotherapeutic effects. At least two cysteines close together in the amino acid sequence are crucial to the binding of arsenic and essential to the identification of arsenic-binding proteins. In the present study, arsenic binding proteins were pulled down with streptavidin and identified using a liquid chromatograph-mass spectrometer (LC-MS/MS). More than 40 arsenic-binding proteins were separated, and redox-related proteins, glutathione S-transferase P1 (GSTP1), heat shock 70 kDa protein 9 (HSPA9) and pyruvate kinase M2 (PKM2), were further studied using binding assays in vitro. Notably, PKM2 has a high affinity for arsenic. In contrast to PKM2, GSTP1and HSPA9 did not combine with arsenic directly in vitro. These observations suggest that arsenic-mediated acute promyelocytic leukaemia (APL) suppressive effects involve PKM2. In summary, we identified several arsenic binding proteins in APL cells and investigated the therapeutic mechanisms of arsenic trioxide for APL. Further investigation into specific signal pathways by which PKM2 mediates APL developments may lead to a better understanding of arsenic effects on APL.

To decrease the mortality of lung cancer, better screening and diagnostic tools as well as treatment options are needed. Protein glycosylation is one of the major post-translational modifications that is altered in cancer, but it is not exactly clear which glycan structures are affected. A better understanding of the glycan structures that are differentially regulated in lung tumor tissue is highly desirable and will allow us to gain greater insight into the underlying biological mechanisms of aberrant glycosylation in lung cancer. Here, we assess differential glycosylation patterns of lung tumor tissue and nonmalignant tissue at the level of individual glycan structures using nLC-chip-TOF-MS. Using tissue samples from 42 lung adenocarcinoma patients, 29 differentially expressed (FDR < 0.05) glycan structures were identified. The levels of several oligomannose type glycans were upregulated in tumor tissue. Furthermore, levels of fully galactosylated glycans, some of which were of the hybrid type and mostly without fucose, were decreased in cancerous tissue, whereas levels of non- or low-galactosylated glycans mostly with fucose were increased. To further assess the regulation of the altered glycosylation, the glycomics data was compared to publicly available gene expression data from lung adenocarcinoma tissue compared to nonmalignant lung tissue. The results are consistent with the possibility that the observed N-glycan changes have their origin in differentially expressed glycosyltransferases. These results will be used as a starting point for the further development of clinical glycan applications in the fields of imaging, drug targeting, and biomarkers for lung cancer.

Clinical implementation of exosome based diagnostic and therapeutic applications is still limited by the lack of standardized technologies that integrate efficient isolation of exosomes with comprehensive detection of relevant biomarkers. Conventional methods for exosome isolation based on their physical properties such as size and density (filtration, ultracentrifugation or density gradient), or relying on their differential solubility (chemical precipitation) are established primarily for processing of cell supernatants and later adjusted to complex biological samples such as plasma. Though still representing gold standard in the field, these methods are clearly suboptimal for processing of routine clinical samples and have intrinsic limits that impair their use in biomarker discovery and development of novel diagnostics. Immunoisolation (IA) offers unique advantages for the recovery of exosomes from complex and viscous fluids, in terms of increased efficiency and specificity of exosome capture, integrity and selective origin of isolated vesicles. We have evaluated several commercially available solutions for immunoplate- and immunobead-based affinity isolation and have further optimized protocols to decrease non-specific binding due to exosomes complexity and matrix contaminants. In order to identify best molecular targets for total exosome capture from diverse biological sources, as well as for selective enrichment in populations of interest (e.g. tumor derived exosomes) several exosome displayed proteins and respective antibodies have been evaluated for plate and bead functionalisation. Moreover, we have optimized and directly implemented downstream steps allowing on-line quantification and characterization of bound exosome markers, namely proteins and RNAs. Thus assembled assays enabled rapid overall quantification and validation of specific exosome associated targets in/on plasma exosomes, with multifold increased yield and enrichment ratio over benchmarking technologies. Assays directly coupling selective immobilization of exosomes to a solid phase and their immune- and or molecular profiling through conventional ELISA and PCR analysis, resulted in easy-to-elaborate, quantitative readouts, with high low-end sensitivity and dynamic range, low costs and hands-on time, minimal sample handling and downscaling of a working plasma volumes to as few as 100 μl., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Extracellular vesicles, including exosomes, are currently being investigated to better understand their biogenesis and biological functions. There is also a rapidly growing interest in utilizing exosomes present in patient biofluids for molecular diagnostics in the clinic. Exosomes are natural shuttles of RNA and protein cargo, making them attractive as potential therapeutic delivery vehicles. Here, we describe the methods for using the latest tools and technologies to study exosomes to better understand their roles in cell-to-cell communication, for discovery of clinical biomarkers and to engineer exosomes for therapeutic applications., (Copyright © 2015 Elsevier Inc. All rights reserved.)

There is an increasing need in biology and clinical medicine to robustly and reliably measure tens to hundreds of peptides and proteins in clinical and biological samples with high sensitivity, specificity, reproducibility, and repeatability. Previously, we demonstrated that LC-MRM-MS with isotope dilution has suitable performance for quantitative measurements of small numbers of relatively abundant proteins in human plasma and that the resulting assays can be transferred across laboratories while maintaining high reproducibility and quantitative precision. Here, we significantly extend that earlier work, demonstrating that 11 laboratories using 14 LC-MS systems can develop, determine analytical figures of merit, and apply highly multiplexed MRM-MS assays targeting 125 peptides derived from 27 cancer-relevant proteins and seven control proteins to precisely and reproducibly measure the analytes in human plasma. To ensure consistent generation of high quality data, we incorporated a system suitability protocol (SSP) into our experimental design. The SSP enabled real-time monitoring of LC-MRM-MS performance during assay development and implementation, facilitating early detection and correction of chromatographic and instrumental problems. Low to subnanogram/ml sensitivity for proteins in plasma was achieved by one-step immunoaffinity depletion of 14 abundant plasma proteins prior to analysis. Median intra- and interlaboratory reproducibility was <20%, sufficient for most biological studies and candidate protein biomarker verification. Digestion recovery of peptides was assessed and quantitative accuracy improved using heavy-isotope-labeled versions of the proteins as internal standards. Using the highly multiplexed assay, participating laboratories were able to precisely and reproducibly determine the levels of a series of analytes in blinded samples used to simulate an interlaboratory clinical study of patient samples. Our study further establishes that LC-MRM-MS using stable isotope dilution, with appropriate attention to analytical validation and appropriate quality control measures, enables sensitive, specific, reproducible, and quantitative measurements of proteins and peptides in complex biological matrices such as plasma., (© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.)

Current therapies for prostate cancer include antiandrogens, inhibitory ligands of the androgen receptor, which repress androgen-stimulated growth. These include the selective androgen receptor modulators cyproterone acetate and hydroxyflutamide and the complete antagonist bicalutamide. Their activity is partly dictated by the presence of androgen receptor mutations, which are commonly detected in patients who relapse while receiving antiandrogens, i.e. in castrate-resistant prostate cancer. To characterize the early proteomic response to these antiandrogens we used the LNCaP prostate cancer cell line, which harbors the androgen receptor mutation most commonly detected in castrate-resistant tumors (T877A), analyzing alterations in the proteome, and comparing these to the effect of these therapeutics upon androgen receptor activity and cell proliferation. The majority are regulated post-transcriptionally, possibly via nongenomic androgen receptor signaling. Differences detected between the exposure groups demonstrate subtle changes in the biological response to each specific ligand, suggesting a spectrum of agonistic and antagonistic effects dependent on the ligand used. Analysis of the crystal structures of the AR in the presence of cyproterone acetate, hydroxyflutamide, and DHT identified important differences in the orientation of key residues located in the AF-2 and BF-3 protein interaction surfaces. This further implies that although there is commonality in the growth responses between androgens and those antiandrogens that stimulate growth in the presence of a mutation, there may also be influential differences in the growth pathways stimulated by the different ligands. This therefore has implications for prostate cancer treatment because tumors may respond differently dependent upon which mutation is present and which ligand is activating growth, also for the design of selective androgen receptor modulators, which aim to elicit differential proteomic responses dependent upon cellular context., (© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.)