1,720,991 research outputs found
Real Time Surface Plasmon Resonance Biosensors, a Powerful Technology to Assess Polyclonal Antibody Avidity
The present research focused on the development of a new methodology to assess the strength of the interaction between vaccine antigens and elicited polyclonal antibodies through SPR biosensors. Quantifying the binding strength of polyclonal antibodies is of first importance to evaluate the quality of the vaccine as well as to increase the scientific knowledge of immune protection mechanisms. To now the development of such tool has been complicated by the non-specific binding caused by high protein abundance in the blood and serum samples but also by the way of interpreting the data resulting from multi-interaction events measured at the same time. At first, we unsuccessfully tried to segregate the individual affinity contribution of each antibody population by measuring the signal as the sum of singular interactions. Differentiation of the singular contribution would have needed the fulfillment of the “additivity” hypothesis, meaning that each antibody bind identically alone or in mixture with other antibody. This hypothesis was not met and mathematical assessment by the sum of singular contribution led to fitting results that did not reflect the biological reality. It was therefore decided to switch the analysis method and to measure the end association binding level reached by the different samples injected at the same specific antibody content. The dissociation behavior was interpreted by the percentage of binding after long and fixed dissociation time. In a first application, we compared the antibodies elicited by two different commercially available vaccines and we showed that the binding interaction was not concentration dependent as, highly different levels were reached when injecting identical antibody concentration. No statistical significant difference was observed between both vaccines. Research firstly focused on the decrease of the non-specific binding and we found that ionic strength was a key parameter, increasing the buffer salt concentration reduced the non-specific binding without diminishing the binding strength. The sample composition was also a key parameter and purifying the IgG allowed to decrease dramatically the undesired binding events. A second application aimed at showing the equivalence between two different antigen constructions for two antibodies population. Even if identical antigen level immobilization is a challenge, the methodology is completely suitable to perform a 2-dimensional comparison (ligand and analyte). A last application was dedicated to the comparison between D and Q-pan Flu vaccines, and results showed that there was no statistical evidence of significant differences between both vaccines. End association level correlated well with haemagglutination inhibition assay at least when serum samples were not diluted at the same antibody content. This last application also showed that throughput may be extended to more than 50 samples per 80 hoursDoctorat en Sciences agronomiques et ingénierie biologiqueinfo:eu-repo/semantics/nonPublishe
Analysis of the human B cell repertoire following vaccination
A diverse B cell repertoire is essential for recognition and response to infectious and vaccine antigens. High-throughput sequencing of B cell receptor (BCR) genes can now be used to study the B cell repertoire at a depth which reflects its true diversity. As a relatively new technology, there is little information on the structure of the repertoire at baseline, whether antigen-specific changes can be detected from the total repertoire following antigen stimulus, and what the potential clinical applications of BCR repertoire sequencing are.
In this thesis, robust laboratory and bioinformatic techniques were developed for studying the BCR repertoire. These were then applied to healthy participants to assess inter- and intra-individual variation in the repertoire. Hepatitis B vaccination was then used as a model system to determine how the repertoire responded to both primary and booster vaccination. Tracking repertoire dynamics following booster vaccination identified the presence of time-limited changes in the total BCR repertoire following stimulation. Cell sorting and sequencing of vaccine-specific cells in addition to sequencing the total repertoire allowed deconvolution of the vaccine- specific response from background repertoire fluctuations. Studying the response to primary vaccination showed the same time-limited changes, and revealed that a surprising number of the B cells activated appear to be derived from memory cells, and activated by the vaccine in a cross-reactive manner. More specific applications of BCR repertoire sequencing were then investigated in the context of meningo- coccal and influenza vaccine studies. These were able to distinguish the different cell subsets activated in response to meningococcal polysaccharide and conjugate vaccines, and shed light on how the AS03 adjuvant increases pandemic influenza vaccine immunogenicity.
In summary, presented in this thesis are some of the first BCR repertoire data following Hepatitis B, meningococcal and influenza vaccination. These data have increased our fundamental understanding of the BCR repertoire, and how this responds to vaccination. Insights from these data raise promise for the application of this technology to clinical settings for vaccine evaluation, disease diagnostics and monitoring, and therapeutic antibody discovery, and have provided a foundation for many further studies.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Mutagenesis of the RGD Motif in the Yellow Fever Virus 17D Envelope Protein
AbstractThe envelope protein of yellow fever virus 17D (YFV-17D) contains a solvent-exposed RGD motif, which has led to the suggestion that integrins may function as cellular receptors for YFV-17D. We found that mutating the RGD motif to RGE had no effect on viral titers, whereas changing RGD to TGD, TGE, TAD, TAE, or RGS led to reduced titers. Substitution of RGD by RAD or RAE yielded RNA genomes that replicated in mammalian cells but could not spread to neighboring cells at 37°C. These mutants did spread through the cell monolayer at 30°C (both in mosquito cells and in SW13 cells) and viruses grown at this temperature were capable of infecting mammalian cells at 37°C. These results strongly suggest that RGD-mediated integrin binding does not play a major role in YFV-17D entry, since the RGD to RAD mutation, as well as many or all of the other mutations studied, should disrupt all RGD-dependent integrin binding. However, the RGD to RAD or RAE mutations (as well as TAD and TAE) severely destabilized the envelope protein at 37°C, providing an explanation for the observed phenotype. Implications of these findings are discussed in light of the fact that mutations that alter tropism or virulence in different flaviviruses are often found within the loop containing the RGD motif
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