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ANALYSIS OF NON-ENZYMATIC POSTTRANSLATIONAL MODIFICATED (GLYCATED) ALBUMIN BY NANO-LC/MS/MS
Šťastná, Zdeňka ; Pataridis, Statis ; Sedláková, Pavla ; Mikšík, Ivan
Posttranslational modifications of proteins are important reactions, which significantly affect the function of proteins in the organism. In principle, they can be divided into enzymatic and non-enzymatic modifications. Non-enzymatic reactions include glycation (earlier called nonezymatic glycosylation), which plays an important role in the development of chronic complications of diabetes mellitus, uremia, in the process of aging and degeneration of the brain.This work deals with the study of glycated albumins (human serum albumin and bovine serum albumin). Methodologically we used nano-liquid chromatography coupled to Q-TOF mass spectrometer. In vitro modified proteins were cleavaged by trypsin and arising peptides were separated on C18 nano column with trap-column. Peptides and their modifications were analysed by high-resolution Q-TOF mass spectrometer MaXis with precision determination of mass below 2 ppm. We found some modifications of proteins. Besides well known carboxymethyllysine new ones were determined - create mass shift 78, 132 and 218. Origin of these modifications is discussed and possible structure is presented. All found modifications were allocated to the structure of proteins and reactivity to various oxo-compounds was also examined
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Elastic registration of biomedical images on CUDA-Supported graphics procesor units
Michálek, Jan ; Čapek, Martin ; Janáček, Jiří ; Kubínová, Lucie
Elastic registration is a task of finding the matching of two images, using geometric and elastic transformations, so that objects in images have the same size, position and orientation. We apply elastic registration in the framework of volume reconstruction, where an object acquired from parallel physical sections is composed and mutual positions of the sections including deformations caused by their cutting have to be found. The method lies in optimizing a functional consisting of two parts: first, discrete total variation as a measure of roughness and, second, L1 norm as a measure of dissimilarity of images. As a parallelizable optimization strategy we apply a potential-based equivalent transformation of a (max,+)-labelling problem. CUDA-based implementation of the described elastic registration algorithm is reasonably fast, requires seconds to minutes of calculations, provides good results and, thus, can be used for practical tasks dealing with alignment of biomedical images
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Řešení problémů analýzy obrazu pomocí minima totální variance
Janáček, Jiří
Práce je věnována řešení úloh analýzy obrazu minimalizací funkce složené z totální variace obrazu a Lp ztrátové funkce. Minimalizaci lze provést iterační metodou největšího spádu s výpočtem kroku založeným na nalezení minimálního řezu v grafu obrazových prvkù. Jako příklad je uvedena regularizace zašuměného obrazu a registrace mikroskopických obrazů fyzických řezů
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