scholarly journals Profiling inflammatory response in lesions of cutaneous leishmaniasis patients using a non-invasive sampling method combined with a high-throughput protein detection assay

Cytokine ◽  
2020 ◽  
Vol 130 ◽  
pp. 155056 ◽  
Author(s):  
Yasaman Taslimi ◽  
Christopher Agbajogu ◽  
Siggeir Fannar Brynjolfsson ◽  
Nasrin Masoudzadeh ◽  
Vahid Mashayekhi ◽  
...  
2019 ◽  
Vol 145 ◽  
pp. 104816 ◽  
Author(s):  
Hugo Paiva de Carvalho ◽  
Sílvia Oliveira Sequeira ◽  
Diogo Pinho ◽  
João Trovão ◽  
Ricardo Manuel Fernandes da Costa ◽  
...  

2010 ◽  
Vol 76 (16) ◽  
pp. 5363-5372 ◽  
Author(s):  
Adrien Y. Burch ◽  
Briana K. Shimada ◽  
Patrick J. Browne ◽  
Steven E. Lindow

ABSTRACT A novel biosurfactant detection assay was developed for the observation of surfactants on agar plates. By using an airbrush to apply a fine mist of oil droplets, surfactants can be observed instantaneously as halos around biosurfactant-producing colonies. This atomized oil assay can detect a wide range of different synthetic and bacterially produced surfactants. This method could detect much lower concentrations of many surfactants than a commonly used water drop collapse method. It is semiquantitative and therefore has broad applicability for uses such as high-throughput mutagenesis screens of biosurfactant-producing bacterial strains. The atomized oil assay was used to screen for mutants of the plant pathogen Pseudomonas syringae pv. syringae B728a that were altered in the production of biosurfactants. Transposon mutants displaying significantly altered surfactant halos were identified and further analyzed. All mutants identified displayed altered swarming motility, as would be expected of surfactant mutants. Additionally, measurements of the transcription of the syringafactin biosynthetic cluster in the mutants, the principal biosurfactant known to be produced by B728a, revealed novel regulators of this pathway.


2019 ◽  
Vol 24 (4) ◽  
pp. 98
Author(s):  
Cristina Campi ◽  
Annalisa Pascarella ◽  
Francesca Pitolli

Magnetoencephalography (MEG) aims at reconstructing the unknown neuroelectric activity in the brain from non-invasive measurements of the magnetic field induced by neural sources. The solution of this ill-posed, ill-conditioned inverse problem is usually dealt with using regularization techniques that are often time-consuming, and computationally and memory storage demanding. In this paper we analyze how a slimmer procedure, random sampling, affects the estimation of the brain activity generated by both synthetic and real sources.


BMC Medicine ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Huiqin Yang ◽  
Alexis Llewellyn ◽  
Ruth Walker ◽  
Melissa Harden ◽  
Pedro Saramago ◽  
...  

2010 ◽  
Vol 22 (29) ◽  
pp. 3199-3203 ◽  
Author(s):  
Tze-Sian Pui ◽  
Herry Gunadi Sudibya ◽  
Xuena Luan ◽  
Qing Zhang ◽  
Feng Ye ◽  
...  

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