Biomedical subjects

Horst Wallrabe

Publications and source records attributed to Horst Wallrabe.

5 recordsLinked to original sources

PubMed2006

Issues in confocal microscopy for quantitative FRET analysis.

Previously, we have carried out extensive quantitative analysis of Förster (or fluorescence) resonance energy transfer (FRET) data to show that polymeric IgA receptors and their ligands cluster in endocytic membranes in the process of sorting and trafficking in polarized cells. Here, we use a similar technique to assay the organization and distribution of another membrane-bound receptor: transferrin receptor (TFR) and its ligand, holo-transferrin (Tfn), while explaining the step-by-step measures to be taken for successful quantitative analysis of the FRET data. In particular, methodological issues in FRET quantitative imaging, such as spectral bleed-through and background correction, optimal selection of regions of interest, how to deal with outliers and pooling data and statistical analysis of FRET data, are addressed. Our results indicating a clustered organization of TFR-Tfn complexes fit the well-known homodimeric structure of TFR. These quantitative approaches can be adapted for other biological applications of FRET.

Algorithms↗

PubMed2005

Imaging protein molecules using FRET and FLIM microscopy.

Förster (or fluorescence) resonance energy transfer (FRET) and fluorescence lifetime imaging (FLIM) have moved center stage and are increasingly forming part of multifaceted imaging approaches. They are complementary methodologies that can be applied to advanced quantitative analyses. The widening application of FRET and FLIM has been driven by the availability of suitable fluorophores, increasingly sophisticated microscopy systems, methodologies to correct spectral bleed-through, and the ease with which FRET can be combined with other techniques. FRET and FLIM have recently found use in several applications: in the analysis of protein-protein interactions with high spatial and temporal specificity (e.g. clustering), in the study of conformational changes, in the analysis of binding sequences, and in applications such as high-throughput screening.

Fluorescence Resonance Energy Transfer↗

PubMed2003

Confocal FRET microscopy to measure clustering of ligand-receptor complexes in endocytic membranes.

The dynamics of protein distribution in endocytic membranes are relevant for many cellular processes, such as protein sorting, organelle and membrane microdomain biogenesis, protein-protein interactions, receptor function, and signal transduction. We have developed an assay based on Fluorescence Resonance Energy Microscopy (FRET) and novel mathematical models to differentiate between clustered and random distributions of fluorophore-bound molecules on the basis of the dependence of FRET intensity on donor and acceptor concentrations. The models are tailored to extended clusters, which may be tightly packed, and account for geometric exclusion effects between membrane-bound proteins. Two main criteria are used to show that labeled polymeric IgA-ligand-receptor complexes are organized in clusters within apical endocytic membranes of polarized MDCK cells: 1), energy transfer efficiency (E%) levels are independent of acceptor levels; and 2), with increasing unquenched donor: acceptor ratio, E% decreases. A quantitative analysis of cluster density indicates that a donor-labeled ligand-receptor complex should have 2.5-3 labeled complexes in its immediate neighborhood and that clustering may occur at a limited number of discrete membrane locations and/or require a specific protein that can be saturated. Here, we present a new sensitive FRET-based method to quantify the co-localization and distribution of ligand-receptor complexes in apical endocytic membranes of polarized cells.

Animals↗

PubMed2003

Characterization of one- and two-photon excitation fluorescence resonance energy transfer microscopy.

Advances in molecular biology provide various methods to define the structure and function of the individual proteins that form the component parts of subcellular structures. The ability to see the dynamic behavior of a specific protein inside the living cell became possible through the application of advanced fluorescence resonance energy transfer (FRET) microscope techniques. The fluorophore molecule used for FRET imaging has a characteristic absorption and emission spectrum that should be considered for characterizing the FRET signal. In this article we describe the system development for the image acquisition for one- and two-photon excitation FRET microscopy. We also describe the precision FRET (PFRET) data analysis algorithm that we developed to remove spectral bleed-through and variation in the fluorophore expression level (or concentration) for the donor and acceptor molecules. The acquired images have been processed using a PFRET algorithm to calculate the energy transfer efficiency and the distance between donor and acceptor molecules. We implemented the software correction to study the organization of the apical endosome in epithelial polarized MDCK cells and dimerization of the CAATT/enhancer binding protein alpha (C/EBPalpha). For these proteins, the results revealed that the extent of correction affects the conventionally calculated energy transfer efficiency (E) and the distance (r) between donor and acceptor molecules by 38 and 9%, respectively.

Algorithms↗

PubMed2003

One- and two-photon fluorescence resonance energy transfer microscopy to establish a clustered distribution of receptor-ligand complexes in endocytic membranes.

One- and two-photon fluorescence resonance energy transfer (FRET) microscopy, using different bandwidth emission filters and a novel spectral spillover correction algorithm (PFRET algorithm), provides the basis for a quantitative approach to measure receptor clustering in endocytic membranes. Emission filters with wider bandwidth allow for an increased FRET signal and corresponding spillover. Treatment with the PFRET correction algorithm results in increasing correction levels and comparable energy transfer efficiency (E%) values, thus validating our algorithm-based approach. The relationship between E% and acceptor and donor levels and donor:acceptor (D:A) ratio is used to characterize the distribution of receptor-ligand complexes in endocytic membranes. In addition to the standard test for clustering (E%'s independence from acceptor levels), we describe a second parameter: the negative dependence of E% on increasing donor levels and D:A ratio. A donor geometric exclusion hypothesis is proposed to explain this phenomenon. One- and two-photon FRET microscopy assays show that polymeric IgA-receptor-ligand complexes are organized in clusters within apical endocytic membranes of polarized Madin-Darby canine kidney cells.

Algorithms↗