S
Sam Dukan
Researcher at Aix-Marseille University
Publications - 47
Citations - 2170
Sam Dukan is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Residue (chemistry) & Protein aggregation. The author has an hindex of 24, co-authored 46 publications receiving 1975 citations. Previous affiliations of Sam Dukan include Centre national de la recherche scientifique.
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The bactericidal effect of TiO2 photocatalysis involves adsorption onto catalyst and the loss of membrane integrity
TL;DR: In this article, the authors analyzed the bactericidal effect of illuminated TiO2 in NaCl-KCl or sodium phosphate solutions, and found that adsorption of bacteria on the catalyst occurred immediately in the NaCl KCl solution, whereas it was delayed in the sodium phosphate solution.
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Differential oxidative damage and expression of stress defence regulons in culturable and non‐culturable Escherichia coli cells
Benoit Desnues,Caroline Cuny,Gérald Grégori,Gérald Grégori,Sam Dukan,Hugo Aguilaniu,Hugo Aguilaniu,Thomas Nyström,Thomas Nyström +8 more
TL;DR: The data suggest that non‐culturable cells are produced due to stochastic deterioration, rather than an adaptive programme, and pinpoint oxidation management as the ‘Achilles heel’ of these cells.
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TiO2 photocatalysis causes DNA damage via fenton reaction-generated hydroxyl radicals during the recovery period.
Gaëtan Gogniat,Sam Dukan +1 more
TL;DR: Results support the idea that TiO2 photocatalysis generates damage which later becomes deleterious during recovery, partly due to DNA attack via hydroxyl radicals generated by the Fenton reaction during recovery.
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Click-mediated labeling of bacterial membranes through metabolic modification of the lipopolysaccharide inner core.
TL;DR: This work investigated whether another sugar could be used as a target for the metabolic modification of glycans, and found 3-deoxy-d-mannooctulosonic acid (KDO) appears to be a very attractive candidate.
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Rules Governing Selective Protein Carbonylation
Etienne Maisonneuve,Adrien Ducret,Pierre Khoueiry,Sabrina Lignon,Sonia Longhi,Emmanuel Talla,Sam Dukan +6 more
TL;DR: The predictive model allows effective and accurate prediction of sites and of proteins more prone to carbonylation in the E. coli proteome and believes that it may be extended to direct MCO attacks in all organisms.