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1.
Int J Pharm ; 628: 122321, 2022 Nov 25.
Article in English | MEDLINE | ID: mdl-36273703

ABSTRACT

Opalescence measurements are broadly applied to assess the quality and stability of biopharmaceutical products at all stages of development and manufacturing. They appear to be simple and straight forward but detect complex light scattering phenomena. Despite a routine calibration step, opalescence values obtained with the same biopharmaceutical sample but on different instruments and/or with different methods may vary significantly. Since the reasons for this high variability are generally not well understood, comparison of opalescence results from different biopharmaceutical laboratories is difficult. Here, we characterized a comprehensive set of biopharmaceutically relevant samples with five opalescence methods to illustrate fundamental differences in method performance and explore the reasons for poor comparability. In addition, we developed a high-throughput method for measuring opalescence in a conventional light scattering plate reader that yields opalescence values in the same range as compendial methods. The presented results underline the impact of sample properties, instrument type, and calibration standards on the determined opalescence value. Based on our findings we provide recommendations for the appropriate application of each method during biopharmaceutical drug product development. Overall, our study contributes to an improved understanding of opalescence measurements in the biopharmaceutical field.


Subject(s)
Biological Products , Iridescence
2.
Nucleic Acids Res ; 44(D1): D481-7, 2016 Jan 04.
Article in English | MEDLINE | ID: mdl-26656494

ABSTRACT

The Reactome Knowledgebase (www.reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations-an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression pattern surveys or somatic mutation catalogues from tumour cells. Over the last two years we redeveloped major components of the Reactome web interface to improve usability, responsiveness and data visualization. A new pathway diagram viewer provides a faster, clearer interface and smooth zooming from the entire reaction network to the details of individual reactions. Tool performance for analysis of user datasets has been substantially improved, now generating detailed results for genome-wide expression datasets within seconds. The analysis module can now be accessed through a RESTFul interface, facilitating its inclusion in third party applications. A new overview module allows the visualization of analysis results on a genome-wide Reactome pathway hierarchy using a single screen page. The search interface now provides auto-completion as well as a faceted search to narrow result lists efficiently.


Subject(s)
Databases, Chemical , Metabolic Networks and Pathways , Gene Expression , Humans , Knowledge Bases , Proteins/metabolism , Signal Transduction , Software
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