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Lipoprotein receptor mediated metabolism of 14C arachidonic acid labelled chylomicron remnants by Hep G2 cells

During lipolysis of chylomicron triacylglycerol by lipoprotein lipase, arachidonic acid (AA) esters are hydrolyzed at a slower rate than the predominant 16-18 carbon fatty acid esters. The further metabolism of the AA that is hereby enriched in the chylomicron remnant acylglycerols has not been investigated. In the present study, we examined the low density lipoprotein (LDL) dependent and independDuring lipolysis of chylomicron triacylglycerol by lipoprotein lipase, arachidonic acid (AA) esters are hydrolyzed at a slower rate than the predominant 16-18 carbon fatty acid esters. The further metabolism of the AA that is hereby enriched in the chylomicron remnant acylglycerols has not been investigated. In the present study, we examined the low density lipoprotein (LDL) dependent and independ

Vuxna med barndomserfarenheter av samhällsvård

Detta kapitel handlar om en grupp barn som fick sina första erfarenheter av samhällsvård i 0-4-årsåldern. Därefter har de en varierande placeringshistoria under barndomen (0-18 år). De har följts upp vid åtta olika tillfällen under barndom och vuxenliv. Detta kapitel fokuserar på hur de hade det i 25-30-årsåldern samt i 35-39-årsåldern, eftersom det är glest med uppföljningar av barn med erfarenhe

Technical applications of an imaging Gamma-ray Compton Backscattering device and simulation using GEANT4

The γ-backscattering imaging techniques are alternative methods to the transmission techniques to determine the amount and distribution of matter in objects. Images obtained with a γ-backscattering device are presented. In order to increase the understanding of the image formation process and to assist in the data analysis, a simulation of the camera was developed using the Geant4 simulation toolk

A quantitative Streptococcus pyogenes-human protein-protein interaction map reveals localization of opsonizing antibodies

A fundamental challenge in medical microbiology is to characterize the dynamic protein-protein interaction networks formed at the host-pathogen interface. Here, we generate a quantitative interaction map between the significant human pathogen, Streptococcus pyogenes, and proteins from human saliva and plasma obtained via complementary affinity-purification and bacterial-surface centered enrichment