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Dive into the research topics where Sofia B. Carvalho is active.

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Featured researches published by Sofia B. Carvalho.


Biomolecules | 2015

Extracellular Vesicles from Ovarian Carcinoma Cells Display Specific Glycosignatures

Joana Gomes; Patrícia Gomes-Alves; Sofia B. Carvalho; Cristina Peixoto; Paula M. Alves; Peter Altevogt; Júlia Costa

Cells release vesicles to the extracellular environment with characteristic nucleic acid, protein, lipid, and glycan composition. Here we have isolated and characterized extracellular vesicles (EVs) and total cell membranes (MBs) from ovarian carcinoma OVMz cells. EVs were enriched in specific markers, including Tsg101, CD63, CD9, annexin-I, and MBs contained markers of cellular membrane compartments, including calnexin, GRASP65, GS28, LAMP-1, and L1CAM. The glycoprotein galectin-3 binding protein (LGALS3BP) was strongly enriched in EVs and it contained sialylated complex N-glycans. Lectin blotting with a panel of lectins showed that EVs had specific glycosignatures relative to MBs. Furthermore, the presence of glycoproteins bearing complex N-glycans with α2,3-linked sialic acid, fucose, bisecting-GlcNAc and LacdiNAc structures, and O-glycans with the T-antigen were detected. The inhibition of N-glycosylation processing from high mannose to complex glycans using kifunensine caused changes in the composition of EVs and induced a decrease of several glycoproteins. In conclusion, the results showed that glycosignatures of EVs were specific and altered glycosylation within the cell affected the composition and/or dynamics of EVs release. Furthermore, the identified glycosignatures of EVs could provide novel biomarkers for ovarian cancer.


PLOS ONE | 2013

Intrinsically disordered and aggregation prone regions underlie β-aggregation in S100 proteins.

Sofia B. Carvalho; Hugo M. Botelho; Sónia S. Leal; Isabel Cardoso; Günter Fritz; Cláudio M. Gomes

S100 proteins are small dimeric calcium-binding proteins which control cell cycle, growth and differentiation via interactions with different target proteins. Intrinsic disorder is a hallmark among many signaling proteins and S100 proteins have been proposed to contain disorder-prone regions. Interestingly, some S100 proteins also form amyloids: S100A8/A9 forms fibrils in prostatic inclusions and S100A6 fibrillates in vitro and seeds SOD1 aggregation. Here we report a study designed to investigate whether β-aggregation is a feature extensive to more members of S100 family. In silico analysis of seven human S100 proteins revealed a direct correlation between aggregation and intrinsic disorder propensity scores, suggesting a relationship between these two independent properties. Averaged position-specific analysis and structural mapping showed that disorder-prone segments are contiguous to aggregation-prone regions and that whereas disorder is prominent on the hinge and target protein-interaction regions, segments with high aggregation propensity are found in ordered regions within the dimer interface. Acidic conditions likely destabilize the seven S100 studied by decreasing the shielding of aggregation-prone regions afforded by the quaternary structure. In agreement with the in silico analysis, hydrophobic moieties become accessible as indicated by strong ANS fluorescence. ATR-FTIR spectra support a structural inter-conversion from α-helices to intermolecular β-sheets, and prompt ThT-binding takes place with no noticeable lag phase. Dot blot analysis using amyloid conformational antibodies denotes a high diversity of conformers; subsequent analysis by TEM shows fibrils as dominant species. Altogether, our data suggests that β-aggregation and disorder-propensity are related properties in S100 proteins, and that the onset of aggregation is likely triggered by loss of protective tertiary and quaternary interactions.


Bioconjugate Chemistry | 2016

Bioorthogonal Strategy for Bioprocessing of Specific-Site-Functionalized Enveloped Influenza-Virus-Like Particles

Sofia B. Carvalho; João Miguel Freire; Mafalda Moleirinho; Francisca Monteiro; Diana Gaspar; Miguel A. R. B. Castanho; Manuel J.T. Carrondo; Paula M. Alves; Gonçalo J. L. Bernardes; Cristina Peixoto

Virus-like particles (VLPs) constitute a promising platform in vaccine development and targeted drug delivery. To date, most applications use simple nonenveloped VLPs as human papillomavirus or hepatitis B vaccines, even though the envelope is known to be critical to retain the native protein folding and biological function. Here, we present tagged enveloped VLPs (TagE-VLPs) as a valuable strategy for the downstream processing and monitoring of the in vivo production of specific-site-functionalized enveloped influenza VLPs. This two-step procedure allows bioorthogonal functionalization of azide-tagged nascent influenza type A hemagglutinin proteins in the envelope of VLPs through a strain-promoted [3 + 2] alkyne–azide cycloaddition reaction. Importantly, labeling does not influence VLP production and allows for construction of functionalized VLPs without deleterious effects on their biological function. Refined discrimination and separation between VLP and baculovirus, the major impurity of the process, is achieved when this technique is combined with flow cytometry analysis, as demonstrated by atomic force microscopy. TagE-VLPs is a versatile tool broadly applicable to the production, monitoring, and purification of functionalized enveloped VLPs for vaccine design trial runs, targeted drug delivery, and molecular imaging.


Biotechnology Journal | 2017

Universal label-free In-process Quantification of Influenza Virus-like particles

Sofia B. Carvalho; Mafalda Moleirinho; David Wheatley; John Welsh; René Gantier; Paula M. Alves; Cristina Peixoto; Manuel J.T. Carrondo

Virus-like particles (VLPs) are becoming established as vaccines, in particular for influenza pandemics, increasing the interest in the development of VLPs manufacturing bioprocess. However, for complex VLPs, the analytical tools used for quantification are not yet able to keep up with the bioprocess progress. Currently, quantification for Influenza relies on traditional methods: hemagglutination assay or Single Radial Immunodiffusion. These analytical technologies are time-consuming, cumbersome, and not supportive of efficient downstream process development and monitoring. Hereby we report a label-free tool that uses Biolayer interferometry (BLI) technology applied on an Octet platform to quantify Influenza VLPs at all stages of bioprocess. Human (α2,6-linked sialic acid) and avian (α2,3-linked sialic acid) biotinylated receptors associated with streptavidin biosensors were used, to quantify hemagglutinin content in several mono- and multivalent Influenza VLPs. The applied method was able to quantify hemagglutinin from crude samples up to final bioprocessing VLP product. BLI technology confirmed its value as a high throughput analytical tool with high sensitivity and improved detection limits compared to traditional methods. This simple and fast method allowed for real-time results, which are crucial for in-line monitoring of downstream processing, improving process development, control and optimization.


PLOS ONE | 2018

A detection and quantification label-free tool to speed up downstream processing of model mucins

Sofia B. Carvalho; Ana Sofia Moreira; Joana Gomes; Manuel J.T. Carrondo; David J. Thornton; Paula M. Alves; Júlia Costa; Cristina Peixoto

Mucins are high-molecular weight glycoproteins (0.25–20 MDa) containing one or more domains that are heavily O-glycosylated. Their implications as targets for cancer treatment have increased the interest in these glycoproteins, mainly in the fields of vaccines and antibodies. However, mucins present high heterogeneity, posing challenges that affect purification processes and quality control analysis. In that sense, it is necessary to develop and improve downstream processes and analytical methods to characterize these products. Here a tool based on biolayer interferometry analysis to improve mucin’s detection and quantification in a fast, simple and label free-way is presented. Taking advantage of lectin recognition of mucins’ carbohydrate structures, several lectins were evaluated and immobilized on streptavidin biosensors. Different assay conditions were optimized and the most suitable lectin, Aleuria aurantia lectin (AAL), was selected. Bovine Submaxillary Gland and human MUC5B mucins were used as proof of concept and were successfully detected and quantified at different stages of purification. High sensitivity levels were achieved with LOD and LOQ of 3.8 μg mL-1 and 11.7 μg mL-1 for BSM, and 0.2 μg mL-1 and 0.6 μg mL-1 for MUC5B. AAL binding specificity was also confirmed with fucose competition assays. Our method represents an advance on mucins detection and quantification since the existing methods present several disadvantages for process development. Hereafter, it can be applied to the optimization of new or already established downstream processes for mucins’ purification.


Journal of Chemical Technology & Biotechnology | 2018

Purification of influenza virus-like particles using sulfated cellulose membrane adsorbers

Sofia B. Carvalho; A Raquel Fortuna; Michael W. Wolff; Cristina Peixoto; Paula M. Alves; Udo Reichl; Manuel J.T. Carrondo

ABSTRACT BACKGROUND Vaccines based on virus‐like particles (VLPs) are an alternative to inactivated viral vaccines that combine good safety profiles with strong immunogenicity. In order to be economically competitive, efficient manufacturing is required, in particular downstream processing, which often accounts for major production costs. This study describes the optimization and establishment of a chromatography capturing technique using sulfated cellulose membrane adsorbers (SCMA) for purification of influenza VLPs. RESULTS Using a design of experiments approach, the critical factors for SCMA performance were described and optimized. For optimal conditions (membrane ligand density: 15.4 µmol cm−2, salt concentration of the loading buffer: 24 mmol L‐1 NaCl, and elution buffer: 920 mmol L‐1 NaCl, as well as the corresponding flow rates: 0.24 and 1.4 mL min−1), a yield of 80% in the product fraction was obtained. No loss of VLPs was detected in the flowthrough fraction. Removal of total protein and DNA impurities were higher than 89% and 80%, respectively. CONCLUSION Use of SCMA represents a significant improvement compared with conventional ion exchanger membrane adsorbers. As the method proposed is easily scalable and reduces the number of steps required compared with conventional purification methods, SCMA could qualify as a generic platform for purification of VLP‐based influenza vaccines.


Bio-nanoimaging#R##N#Protein Misfolding and Aggregation | 2014

Structural Heterogeneity and Bioimaging of S100 Amyloid Assemblies

Sofia B. Carvalho; Isabel Cardoso; Hugo M. Botelho; Kiran Yanamandra; Günter Fritz; Cláudio M. Gomes; Ludmilla A. Morozova-Roche


Journal of Biotechnology | 2017

Bioprocess integration for human mesenchymal stem cells: From up to downstream processing scale-up to cell proteome characterization.

Bárbara Cunha; Tiago Aguiar; Sofia B. Carvalho; Marta M. Silva; Ricardo A. Gomes; Manuel J.T. Carrondo; Patrícia Gomes-Alves; Cristina Peixoto; Margarida Serra; Paula M. Alves


Archive | 2017

Advancing downstream purification of cell and gene therapy medicinal products

Manuel J.T. Carrondo; Ricardo Silva; Sofia B. Carvalho; Cristina Peixoto; Paula Alves


ICOM 2017: International Congress on Membranes and Membrane Processes | 2017

Sulfated cellulose membrane adsorbers as a platform technology for purification of cell culture-derived influenza virus particles

Ana Raquel Fortuna; Sofia B. Carvalho; Sebastian Van Teeffelen; Florian Taft; Louis Villain; Cristina Peixoto; Manuel J.T. Carrondo; Michael W. Wolff; Udo Reichl

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Cristina Peixoto

Spanish National Research Council

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Paula M. Alves

Spanish National Research Council

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Mafalda Moleirinho

Spanish National Research Council

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Ricardo Silva

Universidade Nova de Lisboa

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Udo Reichl

Otto-von-Guericke University Magdeburg

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Bárbara Cunha

Spanish National Research Council

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Francisca Monteiro

Spanish National Research Council

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Hugo M. Botelho

Spanish National Research Council

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