RESUMEN
Glycomics@ExPASy (https://www.expasy.org/glycomics) is the glycomics tab of ExPASy, the server of SIB Swiss Institute of Bioinformatics. It was created in 2016 to centralize web-based glycoinformatics resources developed within an international network of glycoscientists. The hosted collection currently includes mainly databases and tools created and maintained at SIB but also links to a range of reference resources popular in the glycomics community. The philosophy of our toolbox is that it should be {glycoscientist AND protein scientist}-friendly with the aim of (1) popularizing the use of bioinformatics in glycobiology and (2) emphasizing the relationship between glycobiology and protein-oriented bioinformatics resources. The scarcity of data bridging these two disciplines led us to design tools as interactive as possible based on database connectivity to facilitate data exploration and support hypothesis building. Glycomics@ExPASy was designed, and is developed, with a long-term vision in close collaboration with glycoscientists to meet as closely as possible the growing needs of the community for glycoinformatics.
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Glicómica/métodos , Programas Informáticos , Recolección de Datos , Glicoproteínas/metabolismo , Humanos , Espectrometría de Masas , Polisacáridos/metabolismo , Mapas de Interacción de ProteínasRESUMEN
Knowledge of glycoproteins, their site-specific glycosylation patterns, and the glycan structures that they present to their recognition partners in health and disease is gradually being built on using a range of experimental approaches. The data from these analyses are increasingly being standardized and presented in various sources, from supplemental tables in publications to localized servers in investigator laboratories. Bioinformatics tools are now needed to collect these data and enable the user to search, display, and connect glycomics and glycoproteomics to other sources of related proteomics, genomics, and interactomics information. We here introduce GlyConnect ( https://glyconnect.expasy.org/ ), the central platform of the Glycomics@ExPASy portal for glycoinformatics. GlyConnect has been developed to gather, monitor, integrate, and visualize data in a user-friendly way to facilitate the interpretation of collected glycoscience data. GlyConnect is designed to accommodate and integrate multiple data types as they are increasingly produced.
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Glicómica/métodos , Proteómica/métodos , Programas Informáticos , Biología Computacional/métodos , Glicómica/instrumentación , Glicoproteínas/análisis , Glicosilación , Interfaz Usuario-ComputadorRESUMEN
Nowadays, due to the advance of experimental techniques in glycomics, large collections of glycan profiles are regularly published. The rapid growth of available glycan data accentuates the lack of innovative tools for visualizing and exploring large amount of information. Scientists resort to using general-purpose spreadsheet applications to create ad hoc data visualization. Thus, results end up being encoded in publication images and text, while valuable curated data is stored in files as supplementary information. To tackle this problem, we have built an interactive pipeline composed with three tools: Glynsight, EpitopeXtractor and Glydin'. Glycan profile data can be imported in Glynsight, which generates a custom interactive glycan profile. Several profiles can be compared and glycan composition is integrated with structural data stored in databases. Glycan structures of interest can then be sent to EpitopeXtractor to perform a glycoepitope extraction. EpitopeXtractor results can be superimposed on the Glydin' glycoepitope network. The network visualization allows fast detection of clusters of glycoepitopes and discovery of potential new targets. Each of these tools is standalone or can be used in conjunction with the others, depending on the data and the specific interest of the user. All the tools composing this pipeline are part of the Glycomics@ExPASy initiative and are available at https://www.expasy.org/glycomics.
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Epítopos/química , Glicómica/métodos , Informática/métodos , Procesamiento Proteico-Postraduccional , Programas Informáticos , Bases de Datos de Compuestos Químicos , Epítopos/inmunología , Glicosilación , HumanosRESUMEN
GlycoSiteAlign is a tool designed to align amino acid sequences of variable length surrounding glycosylation sites depending on the knowledge of glycan structure. It is an exploratory resource intended for the identification of characteristic amino acid patterns of unique glycan-protein interactions. GlycoSiteAlign uses data from the UniCarbKB and UniProtKB databases, and it is hosted on ExPASy, the Swiss Institute of Bioinformatics resource portal. The user can select either specific or general glycan features, set the length of the protein fragments, and trigger an alignment with the option of including 90% homologous proteins. The tool previews and downloads alignments that may reveal amino acid patterns corresponding to selected features (e.g., "fucosylated" versus "non-fucosylated"). GlycoSiteAlign will integrate new data as they become available to confirm and expand results. It is presented as a promising tool for assessing and refining the knowledge about the constraints that link a particular glycan structure to a particular glycosite, and in the long term, this application could help improve prediction tools.
Asunto(s)
Secuencia de Aminoácidos , Glicosilación , Alineación de Secuencia , Programas Informáticos , Sitios de Unión , Biología Computacional , Bases de Datos de Proteínas , Polisacáridos/químicaRESUMEN
The epithelial-mesenchymal transition (EMT) of proximal tubular epithelial cells (PTECs) into myofibroblasts contributes to the establishment of fibrosis that leads to end stage renal disease. FGF-2 induces EMT in PTECs. Because the interaction between FGF-2 and its receptor is mediated by heparan sulfate (HS) and syndecans, we speculated that a deranged HS/syndecans regulation impairs FGF-2 activity. Heparanase is crucial for the correct turnover of HS/syndecans. The aim of the present study was to assess the role of heparanase on epithelial-mesenchymal transition induced by FGF-2 in renal tubular cells. In human kidney 2 (HK2) PTEC cultures, although FGF-2 induces EMT in the wild-type clone, it is ineffective in heparanase-silenced cells. The FGF-2 induced EMT is through a stable activation of PI3K/AKT which is only transient in heparanase-silenced cells. In PTECs, FGF-2 induces an autocrine loop which sustains its signal through multiple mechanisms (reduction in syndecan-1, increase in heparanase, and matrix metalloproteinase 9). Thus, heparanase is necessary for FGF-2 to produce EMT in PTECs and to sustain FGF-2 intracellular signaling. Heparanase contributes to a synergistic loop for handling syndecan-1, facilitating FGF-2 induced-EMT. In conclusion, heparanase plays a role in the tubular-interstitial compartment favoring the FGF-2-dependent EMT of tubular cells. Hence, heparanase is an interesting pharmacological target for the prevention of renal fibrosis.
Asunto(s)
Transición Epitelial-Mesenquimal , Factor 2 de Crecimiento de Fibroblastos/metabolismo , Glucuronidasa/metabolismo , Fallo Renal Crónico/metabolismo , Túbulos Renales/metabolismo , Sindecano-1/metabolismo , Comunicación Autocrina/genética , Línea Celular , Activación Enzimática/genética , Factor 2 de Crecimiento de Fibroblastos/genética , Fibrosis , Glucuronidasa/genética , Humanos , Fallo Renal Crónico/patología , Túbulos Renales/patología , Fosfatidilinositol 3-Quinasas/genética , Fosfatidilinositol 3-Quinasas/metabolismo , Proteínas Proto-Oncogénicas c-akt/genética , Proteínas Proto-Oncogénicas c-akt/metabolismo , Receptor Tipo 2 de Factor de Crecimiento de Fibroblastos/genética , Receptor Tipo 2 de Factor de Crecimiento de Fibroblastos/metabolismo , Transducción de Señal/genética , Sindecano-1/genéticaRESUMEN
Cardiac valves are dynamic structures, exhibiting a highly specialized architecture consisting of cells and extracellular matrix with a relevant proteoglycan and glycosaminoglycan content, collagen and elastic fibers. Biological valve substitutes are obtained from xenogenic cardiac and pericardial tissues. To overcome the limits of such non viable substitutes, tissue engineering approaches emerged to create cell repopulated decellularized scaffolds. This study was performed to determine the glycosaminoglycans content, distribution, and disaccharides composition in porcine aortic and pulmonary valves and in pericardium before and after a detergent-based decellularization procedure. The fine structural characteristics of galactosaminoglycans chondroitin sulfate and dermatan sulfate were examined by FACE. Furthermore, the mechanical properties of decellularized pericardium and its propensity to be repopulated by in vitro seeded fibroblasts were investigated. Results show that galactosaminoglycans and hyaluronan are differently distributed between pericardium and valves and within heart valves themselves before and after decellularization. The distribution of glycosaminoglycans is also dependent from the vascular district and topographic localization. The decellularization protocol adopted resulted in a relevant but not selective depletion of galactosaminoglycans. As a whole, data suggest that both decellularized porcine heart valves and bovine pericardium represent promising materials bearing the potential for future development of tissue engineered heart valve scaffolds.
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Scaffolds for tissue engineering must be designed to direct desired events such as cell attachment, growth, and differentiation. The incorporation of extracellular matrix-derived peptides into biomaterials has been proposed to mimic biochemical signals. In this study, three synthetic fragments of fibronectin, vitronectin, and stromal-derived factor-1 were investigated for the first time as potential adhesive sequences for cardiomyocytes (CMs) compared to smooth muscle cells. CMs are responsive to all peptides to differing degrees, demonstrating the existence of diverse adhesion mechanisms. The pretreatment of nontissue culture well surfaces with the (Arginine-Glycine-Aspartic Acid) RGD sequence anticipated the appearance of CMs' contractility compared to the control (fibronectin-coated well) and doubled the length of cell viability. Future prospects are the inclusion of these sequences into biomaterial formulation with the improvement in cell adhesion that could play an important role in cell retention during dynamic cell seeding.