Literature DB >> 15265619

Computer program for determining fluorescence resonance energy transfer efficiency from flow cytometric data on a cell-by-cell basis.

Gergely Szentesi1, Gábor Horváth, Imre Bori, György Vámosi, János Szöllosi, Rezso Gáspár, Sándor Damjanovich, Attila Jenei, László Mátyus.   

Abstract

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.

Mesh:

Year:  2004        PMID: 15265619     DOI: 10.1016/j.cmpb.2004.02.004

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  16 in total

1.  Intensity correlation-based calibration of FRET.

Authors:  László Bene; Tamás Ungvári; Roland Fedor; László Sasi Szabó; László Damjanovich
Journal:  Biophys J       Date:  2013-11-05       Impact factor: 4.033

2.  Quantitative characterization of the large-scale association of ErbB1 and ErbB2 by flow cytometric homo-FRET measurements.

Authors:  Agnes Szabó; Gábor Horváth; János Szöllosi; Peter Nagy
Journal:  Biophys J       Date:  2008-05-16       Impact factor: 4.033

3.  Molecular modeling of nearly full-length ErbB2 receptor.

Authors:  Péter Bagossi; Gábor Horváth; György Vereb; János Szöllösi; József Tözsér
Journal:  Biophys J       Date:  2004-12-13       Impact factor: 4.033

4.  MHC I Expression Regulates Co-clustering and Mobility of Interleukin-2 and -15 Receptors in T Cells.

Authors:  Gábor Mocsár; Julianna Volkó; Daniel Rönnlund; Jerker Widengren; Péter Nagy; János Szöllősi; Katalin Tóth; Carolyn K Goldman; Sándor Damjanovich; Thomas A Waldmann; Andrea Bodnár; György Vámosi
Journal:  Biophys J       Date:  2016-07-12       Impact factor: 4.033

5.  The Effect of Fluorophore Conjugation on Antibody Affinity and the Photophysical Properties of Dyes.

Authors:  Ágnes Szabó; Tímea Szendi-Szatmári; László Ujlaky-Nagy; Ildikó Rádi; György Vereb; János Szöllősi; Peter Nagy
Journal:  Biophys J       Date:  2018-02-06       Impact factor: 4.033

6.  Trifunctional antibody ertumaxomab: Non-immunological effects on Her2 receptor activity and downstream signaling.

Authors:  Simone Diermeier-Daucher; Olaf Ortmann; Stefan Buchholz; Gero Brockhoff
Journal:  MAbs       Date:  2012-07-23       Impact factor: 5.857

7.  Distinct spatial relationship of the interleukin-9 receptor with interleukin-2 receptor and major histocompatibility complex glycoproteins in human T lymphoma cells.

Authors:  Enikő Nizsalóczki; István Csomós; Péter Nagy; Zsolt Fazekas; Carolyn K Goldman; Thomas A Waldmann; Sándor Damjanovich; György Vámosi; László Mátyus; Andrea Bodnár
Journal:  Chemphyschem       Date:  2014-10-08       Impact factor: 3.102

8.  Membrane Potential Distinctly Modulates Mobility and Signaling of IL-2 and IL-15 Receptors in T Cells.

Authors:  Éva Nagy; Gábor Mocsár; Veronika Sebestyén; Julianna Volkó; Ferenc Papp; Katalin Tóth; Sándor Damjanovich; György Panyi; Thomas A Waldmann; Andrea Bodnár; György Vámosi
Journal:  Biophys J       Date:  2018-05-10       Impact factor: 4.033

9.  Molecular interactions of ErbB1 (EGFR) and integrin-β1 in astrocytoma frozen sections predict clinical outcome and correlate with Akt-mediated in vitro radioresistance.

Authors:  Miklós Petrás; Tamás Lajtos; Elza Friedländer; Almos Klekner; Eva Pintye; Burt G Feuerstein; János Szöllosi; György Vereb
Journal:  Neuro Oncol       Date:  2013-04-17       Impact factor: 12.300

10.  Conformation of the c-Fos/c-Jun complex in vivo: a combined FRET, FCCS, and MD-modeling study.

Authors:  György Vámosi; Nina Baudendistel; Claus-Wilhelm von der Lieth; Nikoletta Szalóki; Gábor Mocsár; Gabriele Müller; Péter Brázda; Waldemar Waldeck; Sándor Damjanovich; Jörg Langowski; Katalin Tóth
Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

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