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1.

001-es BibID:BIBFORM004700
Első szerző:Bagdány Miklós
Cím:Non-random distribution of Kv1.3 channels in the lymphocyte plasma membrane / Bagdany, M., Varga, S., Szentesi, G., Bodnar, A., Jenei, A., Damjanovich, S., Gaspar, R., Panyi, G.
Dátum:2002
Tárgyszavak:Orvostudományok Elméleti orvostudományok idézhető absztrakt
Megjelenés:Biophysical Journal. - 82 : 1 (2002), p. 1212. -
További szerzők:Varga Sándor (1943-) (biofizikus) Szentesi Gergely (1976-) (kémia-fizika tanár) Dóczy-Bodnár Andrea (1970-) (biofizikus) Jenei Attila (1966-) (biofizikus) Damjanovich Sándor (1936-2017) (biofizikus) Gáspár Rezső (1944-) (biofizikus) Panyi György (1966-) (biofizikus)
Borító:

2.

001-es BibID:BIBFORM010353
Első szerző:Jenei Attila (biofizikus)
Cím:Non-Random Distribution of Interleukin Receptors on the Cell Surface / Jenei, A., Kormos, J., Szentesi, G., Veres, A. J., Varga, S., Bodnar, A., Damjanovich, S., Matyus, L.
Dátum:2009
ISSN:1439-4235 (Print)
Megjegyzések:Spatial organization of cell surface proteins plays a key role in the process of transmembrane signalling. Receptor clustering and changes in their cell surface distribution are often determining factors in the final outcome of ligand-receptor interactions. There are several techniques for assessing the distribution of protein molecules. Fluorescence resonance energy transfer (FRET) is an excellent tool for determining distance relationships of cell surface molecules. However, it does not provide information on the distribution of molecular clusters. Different kinds of microscopies fill this gap. The evaluation of the images provided by the listed techniques is often questionable. Herein we show the applicability of Ripley's K(t) function as a tool for analyzing the cell surface receptor patterns (Y. Nakamura, et al., Nature 1994, 369, 330-333). We have implemented an effective image processing algorithm for fast localization of gold labels on biological samples. We investigated spatial organization of Interleukin-2R alpha and -15R alpha (IL-2R alpha and IL-15R alpha) on a human CD4 + leukaemia T-cell line, Kit225 FT7.10 by using transmission electron microscopy (TEM). TEM analysis showed co-clustering of the two types of alpha-chains even on the few-hundred-nanometer scale. The analysis of our data may contribute to our understanding the action of the IL-2/IL-15 receptor system in T-cell function
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
analysis
cell surface receptor
Energy Transfer
Fluorescence
Fluorescence Resonance Energy Transfer
FRET
Gold
Human
Image Processing
Microscopy
Proteins
Receptor patterns
Megjelenés:Chemphyschem 10 : 9-10 (2009), p. 1577-1585. -
További szerzők:Kormos József (1981-) (fizikus) Szentesi Gergely (1976-) (kémia-fizika tanár) Veres Adrienn J. (biofizikus) Varga Sándor (1943-) (biofizikus) Dóczy-Bodnár Andrea (1970-) (biofizikus) Damjanovich Sándor (1936-2017) (biofizikus) Mátyus László (1956-) (biofizikus)
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

3.

001-es BibID:BIBFORM004736
Első szerző:Panyi György (biofizikus)
Cím:Colocalization and nonrandom distribution of Kv1.3 potassium channels and CD3 molecules in the plasma membrane of human T lymphocytes / Panyi, G., Bagdany, M., Bodnar, A., Vamosi, G., Szentesi, G., Jenei, A., Matyus, L., Varga, S., Waldmann, T. A., Gaspar, R., Damjanovich, S.
Dátum:2003
ISSN:027-8424 (Print)
Megjegyzések:Distribution and lateral organization of Kv1.3 potassium channels and CD3 molecules were studied by using electron microscopy, confocal laser scanning microscopy, and fluorescence resonance energy transfer. Immunogold labeling and electron microscopy showed that the distribution of FLAG epitope-tagged Kv1.3 channels (Kv1.3/FLAG) significantly differs from the stochastic Poisson distribution in the plasma membrane of human T lymphoma cells. Confocal laser scanning microscopy images showed that Kv1.3/FLAG channels and CD3 molecules accumulated in largely overlapping membrane areas. The numerical analysis of crosscorrelation of the spatial intensity distributions yielded a high correlation coefficient (C = 0.64). A different hierarchical level of molecular proximity between Kv1.3/FLAG and CD3 proteins was reported by a high fluorescence resonance energy transfer efficiency (E = 51%). These findings implicate that reciprocal regulation of ion-channel activity, membrane potential, and the function of receptor complexes may contribute to the proper functioning of the immunological synapse.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
analysis
Animals
Antigens, CD3
Biophysics
biosynthesis
Cell Membrane
Cells
chemistry
Electrophysiology
Energy Transfer
Epitopes
Fluorescence
Fluorescence Resonance Energy Transfer
Human
Humans
Hungary
Immunohistochemistry
immunology
Jurkat Cells
Kv1.3 Potassium Channel
Lymphocytes
Lymphoma
metabolism
Mice
Microscopy
Microscopy, Confocal
Microscopy, Electron
Models, Statistical
Potassium
Potassium Channels
Potassium Channels, Voltage-Gated
Proteins
Research
Support
T-Lymphocytes
Transfection
Megjelenés:Proceedings of the National Academy of Sciences of the United States of America. - 100 : 5 (2003), p. 2592-2597. -
További szerzők:Bagdány Miklós Dóczy-Bodnár Andrea (1970-) (biofizikus) Vámosi György (1967-) (biofizikus) Szentesi Gergely (1976-) (kémia-fizika tanár) Jenei Attila (1966-) (biofizikus) Mátyus László (1956-) (biofizikus) Varga Sándor (1943-) (biofizikus) Waldmann, Thomas A. Gáspár Rezső (1944-) (biofizikus) Damjanovich Sándor (1936-2017) (biofizikus)
Internet cím:DOI
elektronikus változat
Borító:

4.

001-es BibID:BIBFORM004886
Első szerző:Szentesi Gergely (kémia-fizika tanár)
Cím:Computer program for analyzing donor photobleaching FRET image series / Szentesi, G., Vereb, G., Horvath, G., Bodnar, A., Fabian, A., Matko, J., Gaspar, R., Damjanovich, S., Matyus, L., Jenei, A.
Dátum:2005
ISSN:1552-4922
Megjegyzések:The photobleaching fluorescence resonance energy transfer (pbFRET) technique is a spectroscopic method to measure proximity relations between fluorescently labeled macromolecules using digital imaging microscopy. To calculate the energy transfer values one has to determine the bleaching time constants in pixel-by-pixel fashion from the image series recorded on the donor-only and donor and acceptor double-labeled samples. Because of the large number of pixels and the time-consuming calculations, this procedure should be assisted by powerful image data processing software. There is no commercially available software that is able to fulfill these requirements. METHODS: New evaluation software was developed to analyze pbFRET data for Windows platform in National Instrument LabVIEW 6.1. This development environment contains a mathematical virtual instrument package, in which the Levenberg-Marquardt routine is also included. As a reference experiment, FRET efficiency between the two chains (beta2-microglobulin and heavy chain) of major histocompatibility complex (MHC) class I glycoproteins and FRET between MHC I and MHC II molecules were determined in the plasma membrane of JY, human B lymphoma cells. RESULTS: The bleaching time constants calculated on pixel-by-pixel basis can be displayed as a color-coded map or as a histogram from raw image format. CONCLUSION: In this report we introduce a new version of pbFRET analysis and data processing software that is able to generate a full analysis pattern of donor photobleaching image series under various conditions.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
Algorithms
analysis
beta 2-Microglobulin
Biophysics
Cell Line,Tumor
Cells
Energy Transfer
Fluorescence
Fluorescence Resonance Energy Transfer
Glycoproteins
Histocompatibility Antigens
Human
Humans
Hungary
Lymphoma
Major Histocompatibility Complex
metabolism
methods
Microscopy
Photobleaching
Research
Software
Support
egyetemen (Magyarországon) készült közlemény
Megjelenés:Cytometry. Part A. - 67 : 2 (2005), p. 119-128. -
További szerzők:Vereb György (1965-) (biofizikus, orvos) Horváth Gábor (1974-) (biofizikus) Dóczy-Bodnár Andrea (1970-) (biofizikus) Fábián Ákos István (1982-) (aneszteziológus) Matkó János (1952-) (biológus) Gáspár Rezső (1944-) (biofizikus) Damjanovich Sándor (1936-2017) (biofizikus) Mátyus László (1956-) (biofizikus) Jenei Attila (1966-) (biofizikus)
Internet cím:elektronikus változat
DOI
Borító:

5.

001-es BibID:BIBFORM004846
035-os BibID:(scopus)3242784810 (wos)000223353700003
Első szerző:Szentesi Gergely (kémia-fizika tanár)
Cím:Computer program for determining fluorescence resonance energy transfer efficiency from flow cytometric data on a cell-by-cell basis / Szentesi, G., Horvath, G., Bori, I., Vamosi, G., Szollosi, J., Gaspar, R., Damjanovich, S., Jenei, A., Matyus, L.
Dátum:2004
Megjegyzések:The determination of fluorescence resonance energy transfer (FRET) with flow cytometry (FCET) is one of the most efficient tools to study the proximity relationships of cell membrane components in cell populations on a cell-by-cell basis. Because of the high amount of data and the relatively tedious calculations, this procedure should be assisted by powerful data processing software. The currently available programs are not able to fulfill this requirement. We developed a Windows-based program to calculate fluorescence resonance energy transfer efficiency values from list mode flow cytometry standard (FCS) files. This program displays the measured data in standard plots by generating one- and two-parameter histograms on linear or logarithmic scales. A graphical gating tool allows the user to select the desired cell population according to any combination of the parameter values. The program performs several statistical calculations, including mean, S.D., percent of the gated data. We have implemented two types of data sheet for FRET calculations to aid and guide the user during the analysis: one with population-mean-based autofluorescence correction and the other with spectrum-based cell-by-cell autofluorescence correction. In this paper, we describe the gating algorithms, the file opening procedure and the rules of gating. The structure of the program and a short description of the graphical user-interface (GUI) are also presented in this article.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Algorithms
analysis
Biophysics
Cell Membrane
Computer Simulation
Energy Transfer
Flow Cytometry
Fluorescence
Fluorescence Resonance Energy Transfer
Humans
Hungary
methods
Research
Software
Support
egyetemen (Magyarországon) készült közlemény
Megjelenés:Computer Methods and Programs in Biomedicine. - 75 : 3 (2004), p. 201-211. -
További szerzők:Horváth Gábor (1974-) (biofizikus) Bori Imre (1929-2004) Vámosi György (1967-) (biofizikus) Szöllősi János (1953-) (biofizikus) Gáspár Rezső (1944-) (biofizikus) Damjanovich Sándor (1936-2017) (biofizikus) Jenei Attila (1966-) (biofizikus) Mátyus László (1956-) (biofizikus)
Internet cím:elektronikus változat
DOI
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