3,498 research outputs found

    Platform based screening strategies that deliver reliable and high quality continous biomanufacturing processes

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    The challenge during mammalian cell line and upstream process development is to identify and isolate stable, high expressing cell lines producing product with the appropriate critical product quality attributes rapidly, reproducibly and with relative ease. Current platform processes are based on a defined set of hierarchical screening strategies utilised to identify key cellular performance criteria required for fed-batch culture (Porter et al 2010a,b). The application of continuous biomanufacturing principles has introduced a paradigm shift, due to their inherent advantage of higher productivity which can facilitate the implementation of smaller process equipment and result in cost-effective, lean and agile manufacturing facilities. However, as we move from fed-batch to continuous manufacturing we must re-evaluate and leverage the correct platform technologies (host cell line, expression vector, cell line development process, cell culture media/feed, process control) to rapidly identify the correct cellular performance criteria that are important for continuous biomanufacturing processes. Furthermore, whereas the adoption of robust and reproducible platform processes have been widely adopted for fed-batch processes, optimal upstream continuous processes performance still largely relies on the optimisation of key bioprocess parameters which are optimised in an ad-hoc manner during process development. To increase speed-to-clinic we show the application of both a new cell line development and continuous upstream production platform methodology which has been successfully utilised to establish reliable and high quality continuous upstream biomanufacturing processes for multiple CHO-DG44 derived cell lines and recombinant monoclonal antibody products. References Porter AJ, Dickson AJ, Racher AJ. (2010a) Strategies for selecting recombinant CHO cell lines for cGMP manufacturing: Realising the potential in bioreactors. Biotechnol Prog 26(5):1446-54 Porter AJ, Racher AJ, Preziosi R, Dickson AJ (2010b) Strategies for selecting recombinant CHO cell lines for cGMP manufacturing: Improving the efficiency of cell line generation. Biotechnol Prog 26(5): 1455-64

    Time to get real: the case for critical action research in purchasing and supply management

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    In fragile and often complex supply chains, PSM failures continue to be reported in the media, often with severe economic, social and environmental consequences. To encourage organisations to engage in responsible PSM, we need engaged research. In this paper we argue that Action Research (AR) is an influential, participative method to challenge the more dominant versions of PSM impacts, which tend to focus only on the positive, and often only monetised elements of what is valued. AR places change at the core of the research process, requiring critical reflexive practice of the impact of assumptions, values and actions on others. We argue that PSM research has more potential for influence if it starts from a ‘real’ problem anchored in practice, and that crucially, the problem itself should be challenged dialogically by scholars, practitioners and diverse stakeholders. Critical AR can reframe performance from a technical, company-centric notion to explore broader relationships between inputs and outputs over a longer time frame. We explore the risks and rewards of Critical AR for PSM scholars and draw conclusions on our role as engaged advocates of change

    Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design

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    Predicting the set of sequences that are tolerated by a protein or protein interface, while maintaining a desired function, is useful for characterizing protein interaction specificity and for computationally designing sequence libraries to engineer proteins with new functions. Here we provide a general method, a detailed set of protocols, and several benchmarks and analyses for estimating tolerated sequences using flexible backbone protein design implemented in the Rosetta molecular modeling software suite. The input to the method is at least one experimentally determined three-dimensional protein structure or high-quality model. The starting structure(s) are expanded or refined into a conformational ensemble using Monte Carlo simulations consisting of backrub backbone and side chain moves in Rosetta. The method then uses a combination of simulated annealing and genetic algorithm optimization methods to enrich for low-energy sequences for the individual members of the ensemble. To emphasize certain functional requirements (e.g. forming a binding interface), interactions between and within parts of the structure (e.g. domains) can be reweighted in the scoring function. Results from each backbone structure are merged together to create a single estimate for the tolerated sequence space. We provide an extensive description of the protocol and its parameters, all source code, example analysis scripts and three tests applying this method to finding sequences predicted to stabilize proteins or protein interfaces. The generality of this method makes many other applications possible, for example stabilizing interactions with small molecules, DNA, or RNA. Through the use of within-domain reweighting and/or multistate design, it may also be possible to use this method to find sequences that stabilize particular protein conformations or binding interactions over others

    Self-Potential as a Predictor of Seawater Intrusion in Coastal Groundwater Boreholes

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    This work was supported by the Natural Environment Research Council in the UK, as part of the Science and Solutions for a Changing Planet Doctor Training Partnership, run by the Grantham Institute for Climate Change at Imperial College London. We thank Southern Water for access to the boreholes at Saltdean and Balsdean. We thank Southern Water and Atkins Global for funding the installation of the equipment. We also thank Dr Amadi Ijioma for providing a prototype of the electrodynamic modelling code in MATLAB, which has since been adapted for use in a coastal chalk aquifer. Three anonymous reviewers are thanked for their comments, which greatly helped to improve the manuscript. The data used in this paper are in the tables, figures and cited information. The authors have no conflicts of interest to declare.Peer reviewedPublisher PDFPublisher PD

    Observation of two new Ξb−\Xi_b^- baryon resonances

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    Two structures are observed close to the kinematic threshold in the Ξb0π−\Xi_b^0 \pi^- mass spectrum in a sample of proton-proton collision data, corresponding to an integrated luminosity of 3.0 fb−1^{-1} recorded by the LHCb experiment. In the quark model, two baryonic resonances with quark content bdsbds are expected in this mass region: the spin-parity JP=12+J^P = \frac{1}{2}^+ and JP=32+J^P=\frac{3}{2}^+ states, denoted Ξbâ€Č−\Xi_b^{\prime -} and Ξb∗−\Xi_b^{*-}. Interpreting the structures as these resonances, we measure the mass differences and the width of the heavier state to be m(Ξbâ€Č−)−m(Ξb0)−m(π−)=3.653±0.018±0.006m(\Xi_b^{\prime -}) - m(\Xi_b^0) - m(\pi^{-}) = 3.653 \pm 0.018 \pm 0.006 MeV/c2/c^2, m(Ξb∗−)−m(Ξb0)−m(π−)=23.96±0.12±0.06m(\Xi_b^{*-}) - m(\Xi_b^0) - m(\pi^{-}) = 23.96 \pm 0.12 \pm 0.06 MeV/c2/c^2, Γ(Ξb∗−)=1.65±0.31±0.10\Gamma(\Xi_b^{*-}) = 1.65 \pm 0.31 \pm 0.10 MeV, where the first and second uncertainties are statistical and systematic, respectively. The width of the lighter state is consistent with zero, and we place an upper limit of Γ(Ξbâ€Č−)<0.08\Gamma(\Xi_b^{\prime -}) < 0.08 MeV at 95% confidence level. Relative production rates of these states are also reported.Comment: 17 pages, 2 figure
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