Protein Adductomics: Methodologies for Untargeted Screening of Adducts to Serum Albumin and Hemoglobin in Human Blood Samples.

The reaction products of electrophiles in vivo can be measured as adducts to the abundant proteins, hemoglobin (Hb), and human serum albumin (HSA), in human blood samples. During the last decade, methods for untargeted screening of such adducts, called adductomics, have used liquid chromatography-mass spectrometry to detect large numbers of previously unknown Hb and HSA adducts. This review presents methodologies that were developed and used in our laboratories for Hb and HSA adductomics, respectively. We discuss critical aspects regarding choice of target protein, sample preparation, mass spectrometry, data evaluation, and strategies for identification of detected unknown adducts. With this review we give an overview of these two methodologies used for protein adductomics and the precursor electrophiles that have been elucidated from the adducts

The polymorphism rs2480258 within CYP2E1 is associated with different rates of acrylamide metabolism in vivo in humans

In a recent study, we demonstrated that the variant allele of rs2480258 within intron VIII of CYP2E1 is associated with reduced levels of mRNA, protein, and enzyme activity. CYP2E1 is the most important enzyme in the metabolism of acrylamide (AA) by operating its oxidation into glycidamide (GA). AA occurs in food, is neurotoxic and classified as a probable human carcinogen. The goal of the present study was to further assess the role of rs2480258 by measuring the rate of AA > GA biotransformation in vivo. In blood samples from a cohort of 120 volunteers, the internal doses of AA and GA were assessed by AA and GA adducts to hemoglobin (Hb) measured by mass spectrometry. The rate of biotransformation was assessed by calculating the GA-Hb/AA-Hb ratio. To maximize the statistical power, 60 TT was compared to 60 CC-homozygotes and the results showed that TT homozygotes had a statistically significant reduced rate of biotransformation. Present results reinforced the notion that T-allele of rs2480258 is a marker of low functional activity of CYP2E1. Moreover, we studied the role of polymorphisms (SNPs) within glutathione-S-transferases (GSTs) enzymes and epoxide hydrolase (EPHX), verifying previous findings that SNPs within GSTs and EPHX influence the metabolism rate

Infrared Video Processing

An infrared video processing simulator has been implemented in MATLAB to support the development and hardware implementation of image processing algorithms in infrared camera systems. The simulator supports functions like non-uniformity correction, dead-pixel replacement, noise filtering, contrast enhancement and output pixel mapping. Five different methods for image stabilization have been evaluated.En simulator för bildbehandling av IR-video har tagits fram. Simulatorn har stöd för funktioner som korrigering av ickelinjäriteter hos detektorn, brusfiltrering och kontrastförbättring. Fem olika metoder för bildstabilisering har utvärderats.073675889

Infrared Video Processing

An infrared video processing simulator has been implemented in MATLAB to support the development and hardware implementation of image processing algorithms in infrared camera systems. The simulator supports functions like non-uniformity correction, dead-pixel replacement, noise filtering, contrast enhancement and output pixel mapping. Five different methods for image stabilization have been evaluated.En simulator för bildbehandling av IR-video har tagits fram. Simulatorn har stöd för funktioner som korrigering av ickelinjäriteter hos detektorn, brusfiltrering och kontrastförbättring. Fem olika metoder för bildstabilisering har utvärderats.073675889

Intrabedömar- och interbedömar-reliabilitet för goniometer med rörlibeller vid mätning av aktiv och passiv höftledsflexion

Validerat; 20130607 (global_studentproject_submitter

Tablespoon - real-time system metric monitoring for Karamel

System resource utilisation metrics is an important source of the decisionmaking process for a general-purpose auto-scaling solution in cloud computing. It is critical for a monitoring system to be light-weight in its usage of system resources. In this work, Tablespoon, a real-time monitoring system, is presented. It operates on a publish-subscribe architecture and is agent push-based. Tablespoon itself has a low bandwidth usage profile by using agent-side filtering and an inter-group aggregation mechanism. Our solution ensures that requested events are received at most once by the subscriber, whilst simultaneously minimising the loss of such events. The evaluation of Tablespoon shows that the average latency, in a limited use case, between publisher and subscriber, is around 500-700ms. Furthermore, the average CPU usage of the agents, depending on the use case, is about 0.5 percent when testing on Amazon Web Services

Tablespoon - real-time system metric monitoring for Karamel

System resource utilisation metrics is an important source of the decisionmaking process for a general-purpose auto-scaling solution in cloud computing. It is critical for a monitoring system to be light-weight in its usage of system resources. In this work, Tablespoon, a real-time monitoring system, is presented. It operates on a publish-subscribe architecture and is agent push-based. Tablespoon itself has a low bandwidth usage profile by using agent-side filtering and an inter-group aggregation mechanism. Our solution ensures that requested events are received at most once by the subscriber, whilst simultaneously minimising the loss of such events. The evaluation of Tablespoon shows that the average latency, in a limited use case, between publisher and subscriber, is around 500-700ms. Furthermore, the average CPU usage of the agents, depending on the use case, is about 0.5 percent when testing on Amazon Web Services

Intrabedömar- och interbedömar-reliabilitet för goniometer med rörlibeller vid mätning av aktiv och passiv höftledsflexion

Validerat; 20130607 (global_studentproject_submitter

Tablespoon - real-time system metric monitoring for Karamel

System resource utilisation metrics is an important source of the decisionmaking process for a general-purpose auto-scaling solution in cloud computing. It is critical for a monitoring system to be light-weight in its usage of system resources. In this work, Tablespoon, a real-time monitoring system, is presented. It operates on a publish-subscribe architecture and is agent push-based. Tablespoon itself has a low bandwidth usage profile by using agent-side filtering and an inter-group aggregation mechanism. Our solution ensures that requested events are received at most once by the subscriber, whilst simultaneously minimising the loss of such events. The evaluation of Tablespoon shows that the average latency, in a limited use case, between publisher and subscriber, is around 500-700ms. Furthermore, the average CPU usage of the agents, depending on the use case, is about 0.5 percent when testing on Amazon Web Services