Dmitry V. Sorokin
Masaryk University
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Publication
Featured researches published by Dmitry V. Sorokin.
Microscopy and Microanalysis | 2013
Veronika Foltánková; Pavel Matula; Dmitry V. Sorokin; Stanislav Kozubek; Eva Bártová
We used hybrid detectors (HyDs) to monitor the trajectories and interactions of promyelocytic leukemia (GFP-PML) nuclear bodies (NBs) and mCherry-53BP1-positive DNA lesions. 53BP1 protein accumulates in NBs that occur spontaneously in the genome or in γ-irradiation-induced foci. When we induced local DNA damage by ultraviolet irradiation, we also observed accumulation of 53BP1 proteins into discrete bodies, instead of the expected dispersed pattern. In comparison with photomultiplier tubes, which are used for standard analysis by confocal laser scanning microscopy, HyDs significantly eliminated photobleaching of GFP and mCherry fluorochromes during image acquisition. The low laser intensities used for HyD-based confocal analysis enabled us to observe NBs for the longer time periods, necessary for studies of the trajectories and interactions of PML and 53BP1 NBs. To further characterize protein interactions, we used resonance scanning and a novel bioinformatics approach to register and analyze the movements of individual PML and 53BP1 NBs. The combination of improved HyD-based confocal microscopy with a tailored bioinformatics approach enabled us to reveal damage-specific properties of PML and 53BP1 NBs.
PLOS ONE | 2015
Pavel Matula; Martin Maška; Dmitry V. Sorokin; Petr Matula; Carlos Ortiz-de-Solorzano; Michal Kozubek
Tracking motile cells in time-lapse series is challenging and is required in many biomedical applications. Cell tracks can be mathematically represented as acyclic oriented graphs. Their vertices describe the spatio-temporal locations of individual cells, whereas the edges represent temporal relationships between them. Such a representation maintains the knowledge of all important cellular events within a captured field of view, such as migration, division, death, and transit through the field of view. The increasing number of cell tracking algorithms calls for comparison of their performance. However, the lack of a standardized cell tracking accuracy measure makes the comparison impracticable. This paper defines and evaluates an accuracy measure for objective and systematic benchmarking of cell tracking algorithms. The measure assumes the existence of a ground-truth reference, and assesses how difficult it is to transform a computed graph into the reference one. The difficulty is measured as a weighted sum of the lowest number of graph operations, such as split, delete, and add a vertex and delete, add, and alter the semantics of an edge, needed to make the graphs identical. The measure behavior is extensively analyzed based on the tracking results provided by the participants of the first Cell Tracking Challenge hosted by the 2013 IEEE International Symposium on Biomedical Imaging. We demonstrate the robustness and stability of the measure against small changes in the choice of weights for diverse cell tracking algorithms and fluorescence microscopy datasets. As the measure penalizes all possible errors in the tracking results and is easy to compute, it may especially help developers and analysts to tune their algorithms according to their needs.
international conference on image analysis and recognition | 2011
Dmitry V. Sorokin; Maxim M. Mizotin; Andrey S. Krylov
Keypoints detection and descriptors construction method based on multiscale Gauss-Laguerre circular harmonic functions expansions is considered. Its efficient acceleration procedure is introduced. Two acceleration ideas are used. The first idea is based on the interconnection between Gauss-Laguerre circular harmonic functions system and 2D Hermite functions system. The further acceleration is based on the original fast Hermite projection method. The comparison tests with SIFT algorithm were performed. The proposed method can be additionally enhanced and optimized. Nevertheless even preliminary investigation showed promising results.
Nucleus | 2014
Eva Bártová; Veronika Foltánková; Soňa Legartová; Petra Sehnalová; Dmitry V. Sorokin; Jana Suchánková; Stanislav Kozubek
Cajal bodies are important nuclear structures containing proteins that preferentially regulate RNA-related metabolism. We investigated the cell-type specific nuclear distribution of Cajal bodies and the level of coilin, a protein of Cajal bodies, in non-irradiated and irradiated human tumor cell lines and embryonic stem (ES) cells. Cajal bodies were localized in different nuclear compartments, including DAPI-poor regions, in the proximity of chromocenters, and adjacent to nucleoli. The number of Cajal bodies per nucleus was cell cycle-dependent, with higher numbers occurring during G2 phase. Human ES cells contained a high coilin level in the nucleoplasm, but coilin-positive Cajal bodies were also identified in nuclei of mouse and human ES cells. Coilin, but not SMN, recognized UVA-induced DNA lesions, which was cell cycle-independent. Treatment with γ-radiation reduced the localized movement of Cajal bodies in many cell types and GFP-coilin fluorescence recovery after photobleaching was very fast in nucleoplasm in comparison with GFP-coilin recovery in DNA lesions. By contrast, nucleolus-localized coilin displayed very slow fluorescence recovery after photobleaching, which indicates very slow rates of protein diffusion, especially in nucleoli of mouse ES cells.
Epigenetics & Chromatin | 2014
Lenka Stixová; Petra Sehnalová; Soňa Legartová; Jana Suchánková; Tereza Hrušková; Stanislav Kozubek; Dmitry V. Sorokin; Pavel Matula; Ivan Raška; Aleš Kovařík; Jaroslav Fulneček; Eva Bártová
BackgroundThe repair of spontaneous and induced DNA lesions is a multistep process. Depending on the type of injury, damaged DNA is recognized by many proteins specifically involved in distinct DNA repair pathways.ResultsWe analyzed the DNA-damage response after ultraviolet A (UVA) and γ irradiation of mouse embryonic fibroblasts and focused on upstream binding factor 1 (UBF1), a key protein in the regulation of ribosomal gene transcription. We found that UBF1, but not nucleolar proteins RPA194, TCOF, or fibrillarin, was recruited to UVA-irradiated chromatin concurrently with an increase in heterochromatin protein 1β (HP1β) level. Moreover, Förster Resonance Energy Transfer (FRET) confirmed interaction between UBF1 and HP1β that was dependent on a functional chromo shadow domain of HP1β. Thus, overexpression of HP1β with a deleted chromo shadow domain had a dominant-negative effect on UBF1 recruitment to UVA-damaged chromatin. Transcription factor UBF1 also interacted directly with DNA inside the nucleolus but no interaction of UBF1 and DNA was confirmed outside the nucleolus, where UBF1 recruitment to DNA lesions appeared simultaneously with cyclobutane pyrimidine dimers; this occurrence was cell-cycle-independent.ConclusionsWe propose that the simultaneous presence and interaction of UBF1 and HP1β at DNA lesions is activated by the presence of cyclobutane pyrimidine dimers and mediated by the chromo shadow domain of HP1β. This might have functional significance for nucleotide excision repair.
international symposium on biomedical imaging | 2014
Dmitry V. Sorokin; Marco Tektonidis; Karl Rohr; Pavel Matula
In live cell imaging it is essential to analyze the pure motion of sub-nuclear proteins without influence of the cell nucleus motion and deformation which is referred to as nucleus global motion. In this work, we propose a 2D contour-based image registration approach for compensation of the global motion of the nucleus. Compared to a previous contour-based approach, our approach employs an explicit rigid registration step to compensate the nucleus translation and rotation, it uses morphological contour matching for establishing more reliable correspondences between contours in consecutive frames, and utilizes the Navier equation for more realistically modeling the nucleus deformation. Our approach was successfully applied to real live cell microscopy image sequences and an experimental comparison with an existing contour-based registration method and an intensity-based registration method has been performed.
Journal of Cell Science | 2016
Yana R. Musinova; Olga M. Lisitsyna; Dmitry V. Sorokin; E. A. Arifulin; Tatiana A. Smirnova; R. A. Zinovkin; Daria Potashnikova; Yegor S. Vassetzky; Eugene V. Sheval
ABSTRACT Nuclear bodies are membraneless organelles that play important roles in genome functioning. A specific type of nuclear bodies known as interphase prenucleolar bodies (iPNBs) are formed in the nucleoplasm after hypotonic stress from partially disassembled nucleoli. iPNBs are then disassembled, and the nucleoli are reformed simultaneously. Here, we show that diffusion of B23 molecules (also known as nucleophosmin, NPM1) from iPNBs, but not fusion of iPNBs with the nucleoli, contributes to the transfer of B23 from iPNBs to the nucleoli. Maturation of pre-ribosomal RNAs (rRNAs) and the subsequent outflow of mature rRNAs from iPNBs led to the disassembly of iPNBs. We found that B23 transfer was dependent on the synthesis of pre-rRNA molecules in nucleoli; these pre-rRNA molecules interacted with B23 and led to its accumulation within nucleoli. The transfer of B23 between iPNBs and nucleoli was accomplished through a nucleoplasmic pool of B23, and increased nucleoplasmic B23 content retarded disassembly, whereas B23 depletion accelerated disassembly. Our results suggest that iPNB disassembly and nucleolus assembly might be coupled through RNA-dependent exchange of nucleolar proteins, creating a highly dynamic system with long-distance correlations between spatially distinct processes. Summary: Interphase prenucleolar body disassembly and nucleolus assembly might be coupled through RNA-dependent exchange of nucleolar proteins.
Journal of Cellular Biochemistry | 2016
Soňa Legartová; Petra Sehnalová; Barbora Malyšková; Thomas Küntziger; Philippe Collas; Dušan Cmarko; Ivan Raška; Dmitry V. Sorokin; Stanislav Kozubek; Eva Bártová
We studied epigenetics, distribution pattern, kinetics, and diffusion of proteins recruited to spontaneous and γ‐radiation‐induced DNA lesions. We showed that PML deficiency leads to an increased number of DNA lesions, which was accompanied by changes in histone signature. In PML wt cells, we observed two mobile fractions of 53BP1 protein with distinct diffusion in spontaneous lesions. These protein fractions were not detected in PML‐deficient cells, characterized by slow‐diffusion of 53BP1. Single particle tracking analysis revealed limited local motion of 53BP1 foci in PML double null cells and local motion 53BP1 foci was even more reduced after γ‐irradiation. However, radiation did not change co‐localization between 53BP1 nuclear bodies and interchromatin granule‐associated zones (IGAZs), nuclear speckles, or chromocenters. This newly observed interaction pattern imply that 53BP1 protein could be a part of not only DNA repair, but also process mediated via components accumulated in IGAZs, nuclear speckles, or paraspeckles. Together, PML deficiency affected local motion of 53BP1 nuclear bodies and changed composition and a number of irradiation‐induced foci. J. Cell. Biochem. 117: 2583–2596, 2016.
IEEE Transactions on Medical Imaging | 2018
Dmitry V. Sorokin; Igor Peterlik; Marco Tektonidis; Karl Rohr; Pavel Matula
The analysis of the pure motion of subnuclear structures without influence of the cell nucleus motion and deformation is essential in live cell imaging. In this paper, we propose a 2-D contour-based image registration approach for compensation of nucleus motion and deformation in fluorescence microscopy time-lapse sequences. The proposed approach extends our previous approach, which uses a static elasticity model to register cell images. Compared with that scheme, the new approach employs a dynamic elasticity model for the forward simulation of nucleus motion and deformation based on the motion of its contours. The contour matching process is embedded as a constraint into the system of equations describing the elastic behavior of the nucleus. This results in better performance in terms of the registration accuracy. Our approach was successfully applied to real live cell microscopy image sequences of different types of cells including image data that was specifically designed and acquired for evaluation of cell image registration methods. An experimental comparison with the existing contour-based registration methods and an intensity-based registration method has been performed. We also studied the dependence of the results on the choice of method parameters.
Pattern Recognition and Image Analysis | 2012
Dmitry V. Sorokin; Andrey S. Krylov
This paper presents a projection local image descriptor. The projection local image descriptor construction is based on the local image expansion into the set of Gauss-Laguerre circular harmonic functions in the support region of a keypoint. The keypoints detection method is considered. It is also based on the analysis of image projections on the set of Gauss-Laguerre circular harmonic functions. The efficient technique for descriptors elements computation is introduced. The 2D Hermite projection method is used to accelerate the local image descriptors construction. The proposed approach is tested on the task of image points matching. The test results approved the ability of acceleration of descriptors construction process up to several times.