Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Robert E. Beardmore"'
Autor:
Pablo Catalán, Emily Wood, Jessica M. A. Blair, Ivana Gudelj, Jonathan R. Iredell, Robert E. Beardmore
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Pathogens are typically classified as ‘antibiotic-resistant’ for clinical purposes based on cut-off values of minimum inhibitory concentrations (MICs). In this study, the authors explore quantitative values of MICs using the global ‘ATLAS’ da
Externí odkaz:
https://doaj.org/article/554efb0606b5483784bf9d3ba61d6eca
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 11, p e1005216 (2016)
Many antimicrobial and anti-tumour drugs elicit hormetic responses characterised by low-dose stimulation and high-dose inhibition. While this can have profound consequences for human health, with low drug concentrations actually stimulating pathogen
Externí odkaz:
https://doaj.org/article/95fc96b8448a44f6939959eb48e03750
Autor:
Carlos Reding, Robert E. Beardmore, Gunther Jansen, Phillip Rosenstiel, Hinrich Schulenburg, Pablo Catalán, Tobias Bergmiller, Ivana Gudelj, Emily Wood
Publikováno v:
Molecular Biology and Evolution
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
To determine the dosage at which antibiotic resistance evolution is most rapid, we treated Escherichia coli in vitro, deploying the antibiotic erythromycin at dosages ranging from zero to high. Adaptation was fastest just below erythromycin’s minim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d6038ee54845978dedda321692c351d
https://pubmed.ncbi.nlm.nih.gov/33693929
https://pubmed.ncbi.nlm.nih.gov/33693929
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008817 (2021)
PLoS Computational Biology
PLoS Computational Biology
Developing mathematical models to accurately predict microbial growth dynamics remains a key challenge in ecology, evolution, biotechnology, and public health. To reproduce and grow, microbes need to take up essential nutrients from the environment,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048308448e7495e82584a25179a45789
https://doaj.org/article/99a8c7e10d0b4f16b6bb4b353157e675
https://doaj.org/article/99a8c7e10d0b4f16b6bb4b353157e675
Autor:
Pablo Catalán, Jonathan R. Iredell, Ivana Gudelj, Robert E. Beardmore, Carlos Reding, Jessica M A Blair
We sought global patterns of antibiotic resistant pathogenic bacteria within the AMR Research Initiative database, Atlas. This consists of 6.5M clinical minimal inhibitory concentrations (MICs) observed in 70 countries in 633k patients between 2004 a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0abd8a4e5f7197160380457b7f89a9d
https://doi.org/10.1101/2020.12.04.411504
https://doi.org/10.1101/2020.12.04.411504
Autor:
Pablo, Catalán, Emily, Wood, Jessica M A, Blair, Ivana, Gudelj, Jonathan R, Iredell, Robert E, Beardmore
Publikováno v:
Nature communications. 13(1)
Antibiotic resistance represents a growing medical concern where raw, clinical datasets are under-exploited as a means to track the scale of the problem. We therefore sought patterns of antibiotic resistance in the Antimicrobial Testing Leadership an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cc8e25140830759a8aae8a8a94b9c72b
https://pubmed.ncbi.nlm.nih.gov/35614098
https://pubmed.ncbi.nlm.nih.gov/35614098
Publikováno v:
Proc Biol Sci
Antimicrobial resistance frequently carries a fitness cost to a pathogen, measured as a reduction in growth rate compared to the sensitive wild-type, in the absence of antibiotics. Existing empirical evidence points to the following relationship betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ac1b45464e75d0e928203d5612bb80fa
https://pubmed.ncbi.nlm.nih.gov/32673559
https://pubmed.ncbi.nlm.nih.gov/32673559
Eukaryotes and prokaryotes exploit the ability of genetically identical cells to exhibit different phenotypes in order to enhance their survival. However, the mechanisms by which cells transition from one phenotype to another remain unclear. Canonica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d988be7ad489c1e5152043e2a564b00
https://doi.org/10.1101/2020.05.13.093831
https://doi.org/10.1101/2020.05.13.093831
Publikováno v:
Proceedings. Biological sciences 287 (2020) 1931
Proceedings. Biological sciences, 287(1931)
Proceedings. Biological sciences, 287(1931)
Antimicrobial resistance frequently carries a fitness cost to a pathogen, measured as a reduction in growth rate compared to the sensitive wild-type, in the absence of antibiotics. Existing empirical evidence points to the following relationship betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1855057b0c53a09302328d68e0ce531f
https://research.wur.nl/en/publications/evolution-of-drug-resistant-and-virulent-small-colonies-in-phenot
https://research.wur.nl/en/publications/evolution-of-drug-resistant-and-virulent-small-colonies-in-phenot
Autor:
Gunther Jansen, Hinrich Schulenburg, Pablo Catalán, Ivana Gudelj, Carlos Reding, Phillip Rosenstiel, Robert E. Beardmore, Tobias Bergmiller
We treatedEscherichia coliwith the antibiotic erythromycin from zero to high dosages to determine how the evolutionary dynamics of antibiotic resistant phenotypes and genotypes depend on dose. The most rapid increase in resistance was observed just b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888b16efe9dffc7a80a97da579215a88