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Within the neurovascular unit, brain pericytes (BPs) are of major importance for the induction and maintenance of the properties of the blood-brain barrier (BBB) carried by the brain microvessel endothelial cells (ECs). Throughout barriergenesis, ECs take advantage of soluble elements or contact with BPs to maintain BBB integrity and the regulation of their cellular homeostasis. However, very few studies have focused on the role of ECs in the maturation of BPs. The aim of this study is to shed light on the proteome of BPs solocultured (hBP-solo) or cocultured with ECs (hBP-coc) to model the human BBB in a non-contact manner. We first generated protein libraries for each condition and identified 2233 proteins in hBP-solo versus 2492 in hBP-coc and 2035 common proteins. We performed a quantification of the enriched proteins in each condition by sequential window acquisition of all theoretical mass spectra (SWATH) analysis. We found 51 proteins enriched in hBP-solo related to cell proliferation, contractility, adhesion and extracellular matrix element production, a protein pattern related to an immature cell. In contrast, 90 proteins are enriched in hBP-coc associated with a reduction in contractile activities as observed in vivo in 'mature' BPs, and a significant gain in different metabolic functions, particularly related to mitochondrial activities and sterol metabolism. This study highlights that BPs take advantage of ECs during barriergenesis to make a metabolic switch in favor of BBB homeostasis in vitro. [ABSTRACT FROM AUTHOR]

We previously developed an in vitro model of the human blood–brain barrier (BBB) based on the use of endothelial cells derived from CD34+-hematopoietic stem cells and cultured with brain pericytes. The purpose of the present study was to provide information on the protein expression levels of the transporters, receptors, tight junction/adherence junction molecules, and transporter-associated molecules of human brain-like endothelial cells (hBLECs). The absolute protein expression levels were determined by liquid chromatography–mass spectrometry-based quantitative targeted absolute proteomics and compared with those from human brain microvessels (hBMVs). The protein levels of CD144, CD147, MRP4, Annexin A6 and caveolin-1 showed more than 3-fold abundance in hBLECs, those of MCT1, Connexin 43, TfR1, and claudin-5 showed less than 3-fold differences, and the protein levels of other drug efflux transporters and nutrient transporters were less represented in hBLECs than in hBMVs. It is noteworthy that BCRP was more expressed than MDR1 in hBLECs, as this was the case for hBMVs. These results suggest that transports mediated by MCT1, TfR1, and claudin-5-related tight junction function reflect the in vivo BBB situation. The present study provided a better characterization of hBLECs and clarified the equivalence of the transport characteristics between in vitro BBB models and in vivo BBB models using LC-MS/MS-based protein quantification. [ABSTRACT FROM AUTHOR]

Experimental studies reveal the secretion of an endo-N-acetyl-beta-D-glucosaminidase activity during the vegetative growth of Myxococcus xanthus DK1622. Decreased release of the enzyme in Exc (plus or minus) mutants reveals the regulation of the enzyme production during this vegetative growth phase. A two-step process accounts for the development of the enzyme activity during submerged development. Cell-cell signaling is impaired in developmental mutants due to lower production of the enzyme, and the enzyme activity is minimum in late mutants.

Ammonium sulfate precipitation, gel filtration and chromatofocusing techniques help purify a novel endo-N-acetyl-beta-D-glucosaminidase (ENGase) from the culture medium of Stigmatella aurantiaca DW4 to homogeneity. Characterization of ENGase by sodium dodecyl sulfate-polyacrylamide gel electrophoresis reveals the molecular mass to be 27 kDa. ENGase exhibits optimal activity at pH 4.0 and pI 6.8 and the enzyme, ENGase St, shows the ability to hydrolyze hydride and complex-type glycoasparagines.

Abstract Background Brain capillary endothelial cells (BCECs) form the physiological basis of the blood-brain barrier (BBB). The barrier function is (at least in part) due to well-known proteins such as transporters, tight junctions and metabolic barrier proteins (e.g. monoamine oxidase, gamma glutamyltranspeptidase and P-glycoprotein). Our previous 2-dimensional gel proteome analysis had identified a large number of proteins and revealed the major role of dynamic cytoskeletal remodelling in the differentiation of bovine BCECs. The aim of the present study was to elaborate a reference proteome of Triton X-100-soluble species from bovine BCECs cultured in the well-established in vitro BBB model developed in our laboratory. Results A total of 215 protein spots (corresponding to 130 distinct proteins) were identified by 2-dimensional gel electrophoresis, whereas over 350 proteins were identified by a shotgun approach. We classified around 430 distinct proteins expressed by bovine BCECs. Our large-scale gene expression analysis enabled the correction of mistakes referenced into protein databases (e.g. bovine vinculin) and constitutes valuable evidence for predictions based on genome annotation. Conclusions Elaboration of a reference proteome constitutes the first step in creating a gene expression database dedicated to capillary endothelial cells displaying BBB characteristics. It improves of our knowledge of the BBB and the key proteins in cell structures, cytoskeleton organization, metabolism, detoxification and drug resistance. Moreover, our results emphasize the need for both appropriate experimental design and correct interpretation of proteome datasets.

This study describes feedback on the effects of changes introduced in our teaching practices for an introductory biochemistry course in the Life Sciences curriculum. Students on this course have diverse educational qualifications and are taught in large learning groups, creating challenges for the management of individual learning. We used the constructive alignment principle, refining the learning contract and re‐drafting the teaching program to introduce active learning and an organization of activities that promotes the participation of all the students and helps their understanding. We also created teaching resources available through the university virtual work environment. Our research aimed to measure the effects of those changes on the students’ success. Monitoring of the student performance showed a continuous increase in the percentage of students who passed the course, from 2.13% to 33.5% in 4 years. Analysis of student perceptions highlighted that the teaching methodology was greatly appreciated by the students, whose attendance also improved. The recent introduction of clickers‐questions constituted a complementary leverage. The active involvement of the students and better results for summative assessments are altogether a strong motivation for teaching staff to continue to make improvements. [ABSTRACT FROM AUTHOR]

Abstract: The inhibition of amyloid‐β (Aβ) aggregation has been regarded as the primary therapeutic strategy for Alzheimer's diseases (AD). Currently, many kinds of amyloid inhibitors have been explored, but these inhibitors have their own drawbacks. This study proposes and demonstrates a new kind of inhibitor in this work by making use of protease endowed with high selectivity to prevent Aβ aggregation. To do this, a nanoconjugate that is composed of chymotrypsin, Aβ aptamer, and gold nanoparticle is designed and fabricated. The nanoconjugate can actively capture Aβ through interaction between the aptamer and Aβ, and destroy the target peptides through proteolysis mediated by the adjacent protease molecules. Compared with the conventional inhibitors that only passively bind with Aβ, this new kind of inhibitor may provide a novel insight to control Aβ aggregation. The multivalent binding and efficient enzymatic reaction toward Aβ may also enable a more complete clearance of Aβ, which might achieve a better treatment effect for AD in the future. [ABSTRACT FROM AUTHOR]

The drug discovery and development processes are divided into different stages separated by milestones to indicate that significant progress has been made and that certain criteria for target validation, hits, leads and candidate drugs have been met. Proteomics is a promising approach for the identification of protein targets and biochemical pathways involved in disease process and thus plays an important role in several stages of the drug development. The blood–brain barrier is considered as a major bottleneck when trying to target new compounds to treat neurodegenerative diseases. Based on the survey of recent findings and with a projection on expected improvements, this report attempt to address how proteomics participates in drug development. [ABSTRACT FROM PUBLISHER]

Although the physiological properties of the blood-brain barrier (BBB) are relatively well known, the phenotype of the component brain capillary endothelial cells (BCECs) has yet to be described in detail. Likewise, the molecular mechanisms that govern the establishment and maintenance of the BBB are largely unknown. Proteomics can be used to assess quantitative changes in protein levels and identify proteins involved in the molecular pathways responsible for cellular differentiation. Using the well-established in vitro BBB model developed in our laboratory, we performed a differential nano- LC MALDI-TOF/TOF-MS study of Triton X-100-soluble protein species from bovine BCECs displaying either limited BBB functions or BBB functions re-induced by glial cells. Due to the heterogeneity of the crude extract, we increased identification yields by applying a repeatable, reproducible fractionation process based on the proteins' relative hydrophobicity. We present proteomic and biochemical evidence to show that tissue non-specific alkaline phosphatase (TNAP) and Eps15 homology domain-containing protein 1(EDH1) are over-expressed by bovine BCECs after the re-induction of BBB properties. We discuss the impact of these findings on current knowledge of endothelial and BBB permeability. [ABSTRACT FROM AUTHOR]

Background: Brain capillary endothelial cells (BCECs) form the physiological basis of the blood-brain barrier (BBB). The barrier function is (at least in part) due to well-known proteins such as transporters, tight junctions and metabolic barrier proteins (e.g. monoamine oxidase, gamma glutamyltranspeptidase and P-glycoprotein). Our previous 2-dimensional gel proteome analysis had identified a large number of proteins and revealed the major role of dynamic cytoskeletal remodelling in the differentiation of bovine BCECs. The aim of the present study was to elaborate a reference proteome of Triton X-100-soluble species from bovine BCECs cultured in the wellestablished in vitro BBB model developed in our laboratory. Results: A total of 215 protein spots (corresponding to 130 distinct proteins) were identified by 2-dimensional gel electrophoresis, whereas over 350 proteins were identified by a shotgun approach. We classified around 430 distinct proteins expressed by bovine BCECs. Our large-scale gene expression analysis enabled the correction of mistakes referenced into protein databases (e.g. bovine vinculin) and constitutes valuable evidence for predictions based on genome annotation. Conclusions: Elaboration of a reference proteome constitutes the first step in creating a gene expression database dedicated to capillary endothelial cells displaying BBB characteristics. It improves of our knowledge of the BBB and the key proteins in cell structures, cytoskeleton organization, metabolism, detoxification and drug resistance. Moreover, our results emphasize the need for both appropriate experimental design and correct interpretation of proteome datasets. [ABSTRACT FROM AUTHOR]

Discusses the possible role of endo-N-actyl-Beta-D-glucosaminidase (ENGase) enzyme in the life of mycobacteria. Determination of the relation between structure and function of glycoproteins; Steps in the purification process of the enzyme; Applications in the physiology of producing cells.

The blood–brain barrier (BBB) is one of the most complex and selective barriers in the human organism. Its role is to protect the brain and preserve the homeostasis of the central nervous system (CNS). The central elements of this physical and physiological barrier are the endothelial cells that form a monolayer of tightly joined cells covering the brain capillaries. However, as endothelial cells regulate nutrient delivery and waste product elimination, they are very sensitive to signals sent by surrounding cells and their environment. Indeed, the neuro-vascular unit (NVU) that corresponds to the assembly of extracellular matrix, pericytes, astrocytes, oligodendrocytes, microglia and neurons have the ability to influence BBB physiology. Extracellular vesicles (EVs) play a central role in terms of communication between cells. The NVU is no exception, as each cell can produce EVs that could help in the communication between cells in short or long distances. Studies have shown that EVs are able to cross the BBB from the brain to the bloodstream as well as from the blood to the CNS. Furthermore, peripheral EVs can interact with the BBB leading to changes in the barrier's properties. This review focuses on current knowledge and potential applications regarding EVs associated with the BBB. [ABSTRACT FROM AUTHOR]

Abstract: The blood–brain barrier (BBB) contributes to the brain homeostasis by regulating the passage of endogenous and exogenous compounds. This function is in part due to well-known proteins such as tight junction proteins, plasma membrane transporters and metabolic barrier proteins. Over the last decade, genomics and proteomics have emerged as supplementary tools for BBB research. The development of genomic and proteomic technologies has provided several means to extend the BBB knowledge and to investigate additional routes for the bypass of this barrier. These profiling technologies have been used on BBB models to decipher the physiological characteristics and, under stress conditions, to understand the molecular mechanisms of brain diseases. In this review, we will report and discuss the genomic and proteomic studies recently carried out to enhance the understanding of BBB features. [Copyright &y& Elsevier]

The appearance of multicellular forms of life has been tightly coupled to the ability of an organism to retain its own anatomical integrity and to distinguish self from non-self. Large glycoconjugates, which make up the outermost cell surface layer of all Metazoans, are the primary candidates for the primordial adhesion and recognition functions in biological self-assembly systems. Atomic force microscopy experiments demonstrated that the binding strength between a single pair of Porifera cell surface glyconectin 1 glycoconjugates from Microciona prolifera can hold the weight of 1600 cells, proving their adhesion functions. Here, measurement of molecular selfrecognition of glyconectins (GNs) purified from three Porifera species was used as an experimental model for primordial xenogeneic self/non-self discrimination. Physicochemical and biochemical characterization of the three glyconectins, their glycans, and peptides using gel electrophoresis, ultracentrifugation, NMR, mass spectrometry, glycosaminoglycan-degrading enzyme treatment, amino acid and carbohydrate analyses, and peptide mapping showed that GNs define a new family of proteoglycan-like molecules exhibiting species-specific structures with complex and repetitive acidic carbohydrate motives different from the classical proteoglycans and mucins. In functional self-assembly color-coded bead, cell, and blotting assays, glyconectins displayed speciesspecific recognition and adhesion. Affinity-purified monospecific polyclonal antibodies prepared against GN1, -2, and -3 glycans selectively inhibited cell adhesion of the respective sponge species. These results together with species-specific coaggregation of GN carbohydratecoated beads with cells showed that GN glycans are functional in cell recognition and adhesion. The specificity of carbohydrate-mediated homophilic GN interactions in Porifera approaches the binding selectivity of the evolutionarily advanced immunoglobulin superfamily. Xenoselectivity of primordial glyconectin to glyconectin recognition may be a new paradigm in the self-assembly and non-self discrimination pathway of cellular adhesion leading to multicellularity. [ABSTRACT FROM AUTHOR]

Glyconectins (GNs) represent a new class of proteoglycan-like cell adhesion and recognition molecules found in several Porifera species. Physico-chemical properties of GN carbohydrate moieties, such as size, composition, and resistance to most glycosaminoglycan-degrading enzymes, distinguish them from any other type of known glycoproteins. The molecular mechanism of GN-mediated self/non-self discrimination function is based on highly species-specific and Ca2+-dependent GN to GN associations that approach the selectivity of the evolutionarily advanced immunoglobulin superfamily. Carbohydrates of glyconectins 1, 2, and 3 are essential for species-specific auto-aggregation properties in three respective Porifera species. To obtain a structural insight into the molecular mechanisms, we performed carbohydrate structural analyses of glyconectins isolated from the three sponge model systems, Microciona prolifera (GN1), Halichondria panicea (GN2), and Cliona celata (GN3). The glycan content of all three GNs ranged between 40 and 60% of their total mass. Our approach using sequential and selective chemical degradation of GN glycans and subsequent mass spectrometric and NMR analyses revealed that each glyconectin presents novel and highly species-specific carbohydrate sequences. All three GNs include distinct acid-resistant and acid-labile carbohydrate domains, the latter composed of novel repetitive units. We have sequenced four short sulfated and one pyruvilated unit in GN1, eight larger and branched pyruvilated oligosaccharides in GN2, which represent a heterogeneous but related family of structures, and four sulfated units in GN3. [ABSTRACT FROM AUTHOR]

Inspired by the structural and functional features of proteins in cell signaling, a switchable peptide is designed in this work. This switchable peptide is named a "peptamer," and it can react to ligand binding with conformational change and activation/deactivation of catalytic ability. The peptamer is constructed by elaborately integrating several different peptide motifs with targeting and catalytic abilities. Thus, targeted binding of the peptamer to an integrin can be regulated by a synthetic ligand. Moreover, the conformational rearrangement of the peptamer induced by both integrin and the synthetic ligand can resolve in altered affinity of the peptamer for a catalytic cofactor, cupric ion. This leads to greatly contrasted efficiency of catalysis in the presence/absence of integrin. This distinct switching on/off of catalytic activity also enables a bioassay of tissue integrin expression in clinical samples of thyroid carcinoma. Experimental results reveal that the detected integrin level parallels the state of lymph node metastasis. Therefore, this simple peptide model may help to understand the structural reconfiguration of proteins involved in cellular signal transduction, as well as to provide a new means to assess protein activity under pathological conditions such as cancer.

In this work, a new strategy of biosensor design is developed based on the assembly of amyloid beta and its multiple interactions with other bioactive species. These interactions can enable amyloid beta peptide as a multifunctional sensing element, so the immobilization of sensing probe and the step-by-step modification of the sensing interface have all been dispensed with. Instead, the kinetics of the assembly of a peptide-based catalytic network serves to convert the quantity of analyte into amplified signal readout. The designed dynamic assembling and biosensing system has also been successfully applied in detecting the activity of polyglutamylation, an essential post translation modification controlling cell skeleton and cell cycle, in biological complex samples. Further studies reveal that the serum abundance of a polyglutamylase, tubulin tyrosine ligase-like protein 12, may show parallel with the degree of development of prostate cancer and the discrimination between early cancerous development and benign conditions. And the obtained result is more distinct than that based on PSA detection, the current gold standard. This study may also point to the prospective of extending this design strategy to broader range of biosensing applications in the future.

The blood-brain barrier (BBB) regulates the passage of endogenous and exogenous compounds and thus contributes to the brain homeostasis with the help of well-known proteins such as tight junction proteins, plasma membrane transporters and metabolic barrier proteins. In the last decade, proteomics have emerged as supplementary tools for BBB research. The development of proteomic technologies has provided several means to extend knowledge on the BBB and to investigate additional routes for the bypass of this barrier. Proteomics approaches have been used in vivo and also using in vitro BBB models to decipher the physiological characteristics and, under stress conditions, to understand the molecular mechanisms of brain diseases. This work has demonstrated that both quantitative global and targeted proteomics approaches are powerful and provide significant information on the brain microvessel endothelium. However, current knowledge is only partial and it is necessary to increase the studies using proteomics tools that will provide additional information concerning brain pathologies or BBB metabolism. Highly sensitive, accurate and specific protein quantification by quantitative targeted proteomics appears as an essential methodology for human BBB studies., (Copyright © 2015 IMSS. Published by Elsevier Inc. All rights reserved.)

Proteomics became a key tool for the study of biological systems. The comparison between two different physiological states allows unravelling the cellular and molecular mechanisms involved in a biological process. Proteomics can confirm the presence of proteins suggested by their mRNA content and provides a direct measure of the quantity present in a cell. Global and targeted proteomics strategies can be applied. Targeted proteomics strategies limit the number of features that will be monitored and then optimise the methods to obtain the highest sensitivity and throughput for a huge amount of samples. The advantage of global proteomics strategies is that no hypothesis is required, other than a measurable difference in one or more protein species between the samples. Global proteomics methods attempt to separate quantify and identify all the proteins from a given sample. This review highlights only the different techniques of separation and quantification of proteins and peptides, in view of a comparative and quantitative global proteomics analysis. The in-gel and off-gel quantification of proteins will be discussed as well as the corresponding mass spectrometry technology. The overview is focused on the widespread techniques while keeping in mind that each approach is modular and often recovers the other.

Atomic force microscopy (AFM) measurements of intermolecular binding strength between a single pair of complementary cell adhesion molecules in physiological solutions provided the first quantitative evidence for their cohesive function. This novel AFM-based nanobiotechnology opens a molecular mechanic approach for studying structure- to function-related properties of any type of individual biological macromolecules. The presented example of Porifera cell adhesion glyconectin proteoglycans showed that homotypic carbohydrate to carbohydrate interactions between two primordial proteoglycans can hold the weight of 1,600 cells. Thus, glyconectin type carbohydrates, as the most peripheral cell surface molecules of sponges (today's simplest living Metazoa), are proposed to be the primary cell adhesive molecules essential for the evolution of the multicellularity.