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1.
BMC Bioinformatics ; 21(1): 582, 2020 Dec 17.
Artigo em Inglês | MEDLINE | ID: mdl-33334310

RESUMO

BACKGROUND: Biomedical research projects deal with data management requirements from multiple sources like funding agencies' guidelines, publisher policies, discipline best practices, and their own users' needs. We describe functional and quality requirements based on many years of experience implementing data management for the CRC 1002 and CRC 1190. A fully equipped data management software should improve documentation of experiments and materials, enable data storage and sharing according to the FAIR Guiding Principles while maximizing usability, information security, as well as software sustainability and reusability. RESULTS: We introduce the modular web portal software menoci for data collection, experiment documentation, data publication, sharing, and preservation in biomedical research projects. Menoci modules are based on the Drupal content management system which enables lightweight deployment and setup, and creates the possibility to combine research data management with a customisable project home page or collaboration platform. CONCLUSIONS: Management of research data and digital research artefacts is transforming from individual researcher or groups best practices towards project- or organisation-wide service infrastructures. To enable and support this structural transformation process, a vital ecosystem of open source software tools is needed. Menoci is a contribution to this ecosystem of research data management tools that is specifically designed to support biomedical research projects.


Assuntos
Pesquisa Biomédica , Gerenciamento de Dados/métodos , Software , Bases de Dados Factuais , Armazenamento e Recuperação da Informação
2.
Mol Genet Genomics ; 271(5): 554-65, 2004 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-15114480

RESUMO

Resistance of the pathogenic yeast Candida albicans to the antifungal agent fluconazole is often caused by the overexpression of genes that encode multidrug efflux pumps ( CDR1, CDR2, or MDR1). We have undertaken a proteomic approach to gain further insight into the regulatory network controlling efflux pump expression and drug resistance in C. albicans. Three pairs of matched fluconazole-susceptible and resistant clinical C. albicans isolates, in which drug resistance correlated with stable activation of MDR1 or CDR1/2, were analyzed for differences in their protein expression profiles. In two independent, MDR1-overexpressing, strains, additional up-regulated proteins were identified, which are encoded by the YPR127 gene and several members of the IFD ( YPL088) gene family. All are putative aldo-keto reductases of unknown function. These proteins were not up-regulated in a fluconazole-resistant strain that overexpressed CDR1 and CDR2 but not MDR1, indicating that expression of the various efflux pumps of C. albicans is controlled by different regulatory networks. To investigate the possible role of YPR127 in the resistance phenotype of the clinical isolates, we constitutively overexpressed the gene in a C. albicans laboratory strain. In addition, the gene was deleted in a C. albicans laboratory strain and in one of the drug-resistant clinical isolates in which it was overexpressed. Neither forced overexpression nor deletion of YPR127 affected the susceptibility of the strains to drugs and other toxic substances, suggesting that the regulatory networks which control the expression of efflux pumps in C. albicans also control genes involved in cellular functions not related to drug resistance.


Assuntos
Antifúngicos/farmacologia , Candida albicans/efeitos dos fármacos , Farmacorresistência Fúngica/genética , Fluconazol/farmacologia , Resistência a Múltiplos Medicamentos , Proteínas Fúngicas/genética , Deleção de Genes , Expressão Gênica , Regulação Fúngica da Expressão Gênica , Estresse Oxidativo/genética , Transformação Genética
3.
Science ; 257(5071): 754-60, 1992 Aug 07.
Artigo em Inglês | MEDLINE | ID: mdl-17736462

RESUMO

Fluid mixing is a successful application of chaos. Theory anticipates the coexistence of order and disorder-symmetry and chaos-as well as self-similarity and multifractality arising from repeated stretching and folding. Experiments and computations, in turn, provide a point of confluence and a visual analog for chaotic behavior, multiplicative processes, and scaling behavior. All these concepts have conceptual engineering counterparts: examples arise in the context of flow classification, design of mixing devices, enhancement of transport processes, and controlled structure formation in two-phase systems.

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