Search results for "Bioinformatic"

showing 10 items of 1651 documents

Proteomics in antitumor research

2006

Proteins are the molecular players of fine-tuned regulatory pathways that underlie the behavior of any cell type. Derangement of this wide protein circuitry has a profound effect on cell life and ultimately contributes to the development of diseases such as cancer. New proteomic technologies are rapidly evolving to define and characterize the nodes of this altered protein network, both inside and outside cancer cells. Hopefully, these technologies will become user-friendly laboratory tools to improve cancer management from early detection to the development of rational and patient-tailored therapeutic strategies.

proteomika; tumori; proteinski čipovi; 2DE; masena spektrometrijaCell typeshotgun approachesCellEarly detectionCancerComputational biologyBiologyProteomicsBioinformaticsmedicine.diseasemedicine.anatomical_structureSettore BIO/13 - Biologia ApplicataDrug DiscoveryCancer managementCancer cellmedicineMolecular MedicineProtein networkClassical gel-base approach
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The Clinical Value of Autoantibodies in Rheumatoid Arthritis

2018

Rheumatoid arthritis (RA) is a highly heterogeneous syndrome in terms of clinical presentation, progression, and response to therapy. In such a complicated context, the identification of disease-related biomarkers would be undoubtedly helpful in assisting tailored approaches for every patient. Despite remarkable efforts, however, progress in new biomarker development and validation is dramatically slow. At present, none of the candidate genetic, cellular, or molecular biomarker has yet surpassed the clinical value of RA-specific autoantibodies, including rheumatoid factor (RF) and anti-citrullinated protein autoantibodies (ACPA). Rather, recent years have witnessed significant advancements …

rheumatoid arthritis0301 basic medicineResponse to therapyautoantibodiesMini ReviewContext (language use)Bioinformaticsrheumatoid factor03 medical and health sciencesremission0302 clinical medicinemedicineRheumatoid factoranti-citrullinated protein antibodies030203 arthritis & rheumatologylcsh:R5-920biologybusiness.industryAutoantibodyAnti–citrullinated protein antibodyGeneral Medicinemedicine.disease030104 developmental biologyRheumatoid arthritisbiology.proteinClinical valueMedicineBiomarker (medicine)lcsh:Medicine (General)businessFrontiers in Medicine
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Cardiovascular disease: pathophysiological mechanisms

2015

OSA is a common disease that affects approximately 10% of the middle-aged population and becomes more prevalent with age. It is caused by intermittent and repetitive collapse of the UA during sleep. The main acute physiological consequences of OSA are oxygen desaturation, intrathoracic pressure changes and arousals. OSA is associated with significant cardiovascular morbidity and mortality and is an independent risk factor for CVD. The pathogenesis of CVD in OSA is not completely understood but is likely to be multifactorial, involving a diverse range of closely interrelated and detrimental intermediate mechanisms that predispose patients to atherosclerosis, including oxidative stress, sympa…

risk factorbusiness.industrycardiovascular diseaseMedicineDiseaseSettore MED/10 - Malattie Dell'Apparato RespiratoriobusinessBioinformaticsObstructive sleep apneaPathophysiology
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3,5-Dimethoxy-4'-methylbiphenyl

2013

The title compound, C15H16O2, crystallizes with three independent mol­ecules in the asymmetric unit. The intra­molecular torsion angle between the aromatic rings of each mol­ecule are −36.4 (3), 41.3 (3) and −37.8 (3)°. In the crystal, the complicated packing of the mol­ecules forms wave-like layers along the b and c axes. The mol­ecules are connected via extensive meth­oxy–phenyl C—H…π inter­actions. A weak C—H…O hydrogen-bonding network also exists between meth­oxy O atoms and aromatic or meth­oxy H atoms.

röntgendiffraktiocrystal structuredendrimeeri prekursori010405 organic chemistryChemistryX-ray DiffractionAromaticitykiderakenneGeneral ChemistryDihedral angle010402 general chemistryCondensed Matter PhysicsBioinformaticsOrganic Papers01 natural sciences0104 chemical sciences3. Good healthCrystalCrystallographydendrimer precursorGeneral Materials Scienceta116
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Methyl 3',5'-dimethoxybiphenyl-4-carboxylate

2013

In the title compound, C16H16O4, the dihedral angle between the benzene rings is 28.9 (2)°. In the crystal, mol­ecules are packed in layers parallel to the b axis in which they are connected via weak inter­molecular C-H...O contacts. Face-to-face π-π inter­actions also exist between the benzene rings of adjacent mol­ecules, with centroid-centroid and plane-to-plane shift distances of 3.8597 (14) and 1.843 (2) Å, respectively.

röntgendiffraktiocrystal structuredendrimeeri prekursorikiderakenneDihedral angle010402 general chemistryBioinformatics01 natural sciencesOrganic PapersCrystalchemistry.chemical_compoundGeneral Materials ScienceBenzeneta116Biphenyl010405 organic chemistryHydrogen bondGeneral ChemistryMeth-Condensed Matter PhysicsX-ray diffraction0104 chemical sciences3. Good healthCrystallographychemistrydendrimer precursorLayer (electronics)
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1,1,4,4-Tetramethylpiperazinediium dibromide

2009

A small quantity of the title compound, C8H20N22+·2Br−, was formed as a by-product in a reaction between a diamine and an alkyl bromide. The asymmetric unit contains half of a centrosymmetric dication and a bromide anion. In the crystal, weak intermolecular C—H...Br hydrogen bonds consolidate the crystal packing.

röntgenlristallografiabiologyHydrogen bondAlkyl bromidedikationinen ammoniumdibromididicationic ammonium dibromideGeneral ChemistryCondensed Matter Physicsbiology.organism_classificationBioinformaticsOrganic PapersMedicinal chemistryX-ray diffractionIonDicationlcsh:ChemistryCrystalchemistry.chemical_compoundlcsh:QD1-999chemistryBromideDiamineTetraGeneral Materials ScienceActa Crystallographica Section E Structure Reports Online
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Hepatocyte transplantation, a step forward?

2019

Hepatocyte transplantation emerged a few decades ago as a possible strategy to overcome some of the limitations of liver transplantation, among them the availability of organ donors and the functional quality of grafts. Nowadays, allogenic cell transplantation is still to be confirmed as a viable therapeutic option for patients with hereditary metabolic liver diseases. Although we have now overseen 5 decades of basic and animal research in the field, the number of successfully treated patients remains low. Limitations in cell engraftment and selective proliferation of transplanted cells remain a constraint to the generalized use of this therapeutic approach.

surgical procedures operativeHepatocyte transplantationHepatologybusiness.industryMEDLINEMedicineTrasplantació d'òrgans teixits etc.businessBioinformaticsGastroenterologiaJournal of Hepatology
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BioImageXD: an open, general-purpose and high-throughput image-processing platform

2012

BioImageXD puts open-source computer science tools for three-dimensional visualization and analysis into the hands of all researchers, through a user-friendly graphical interface tuned to the needs of biologists. BioImageXD has no restrictive licenses or undisclosed algorithms and enables publication of precise, reproducible and modifiable workflows. It allows simple construction of processing pipelines and should enable biologists to perform challenging analyses of complex processes. We demonstrate its performance in a study of integrin clustering in response to selected inhibitors.

ta113SIMPLE (military communications protocol)Computer sciencebusiness.industryta1182Computational BiologyImage processingCell BiologyBioinformaticsBiochemistryVisualizationHigh-Throughput Screening AssaysUser-Computer InterfaceSoftwareWorkflowImaging Three-DimensionalHuman–computer interactionbusinessCluster analysisMolecular BiologyThroughput (business)AlgorithmsSoftwareBiotechnologyGraphical user interfaceNATURE METHODS
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Distinctive attributes for predicted secondary structures at terminal sequences of non-classically secreted proteins from proteobacteria

2008

Abstract C- and N-terminal sequences (64 amino acid residues each) of 89 non-classically secreted type I, type III and type IV proteins (Swiss-Prot/TrEMBL) from proteobacteria were transformed into predicted secondary structures. Multivariate analysis of variance (MANOVA) confirmed the significance of location (C- or N-termini) and secretion type as essential factors in respect of quantitative representations of structured (a-helices, b-strands) and unstructured (coils) elements. The profiles of secondary structures were transcripted using unequal property values for helices, strands and coils and corresponding numerical vectors (independent variables) were subjected to multiple discriminan…

terminal sequencesMultiple discriminant analysisGeneral Immunology and MicrobiologybiologyQH301-705.5General Neurosciencesecondary structureComputational biologyLinear discriminant analysisbiology.organism_classificationBioinformaticsdiscriminant analysisGeneral Biochemistry Genetics and Molecular BiologyCross-validationSecretory proteinDiscriminantprotein secretionSecretionProteobacteriaBiology (General)General Agricultural and Biological SciencesProtein secondary structureproteobacteriaOpen Life Sciences
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Extracellular Vesicles as Shuttles of Tumor Biomarkers and Anti-Tumor Drugs

2014

Extracellular vesicles (EV) include vesicles released by either normal or tumor cells. EV may exceed the nanometric scale (microvesicles), or to be within the nanoscale, also called exosomes. Thus, it appears that only exosomes and larger vesicles may have the size for potential applications in nanomedicine, in either disease diagnosis or therapy. This is of particular interest for research in cancer, also because the vast majority of existing data on EV are coming from pre-clinical and clinical oncology. We know that the microenvironmental features of cancer may favor cell-to-cell paracrine communication through EV, but EV have been purified, characterized, and quantified from plasma of tu…

tumorsCancer Researchbusiness.industryVesicleParacrine CommunicationbiomarkersCancerexosomeslcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensBioinformaticsmedicine.diseaselcsh:RC254-282Extracellular vesiclesMicrovesiclesAnti-Tumor DrugsteranosticsTumor BiomarkersOncologyPerspective ArticleCancer researchmedicineNanomedicineextracellular vesiclesbusinessFrontiers in Oncology
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