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Biener, G.

Publications and source records attributed to Biener, G..

5 recordsLinked to original sources

KINNTREX: A Neural Network Unveils Protein Mechanism from Time Resolved X-ray Crystallography

Here, a machine learning method based on a kinetically informed neural network (NN) is introduced. The proposed method is designed to analyze a time series of difference electron density (DED) maps from a time-resolved X-ray crystallographic experiment. The method is named KINNTREX (Kinetics Inspired NN for Time-Resolved X-ray Crystallography). To validate KINNTREX, multiple realistic scenarios were simulated with increasing level of complexity. For the simulations, time-resolved X-ray data was generated that mimic data collected from the photocycle of the photoactive yellow protein (PYP). KINNTREX only requires the number of intermediates and approximate relaxation times (both obtained from a singular valued decomposition) and does not require an assumption of a candidate mechanism. It successfully predicts a consistent chemical kinetic mechanism, together with difference electron density maps of the intermediates that appear during the reaction. These features make KINNTREX attractive for tackling a wide range of biomolecular questions. In addition, the versatility of KINNTREX can inspire more NN-based applications to time-resolved data from biological macromolecules obtained by other methods.

biophysics↗

The efficacy of EphA2 tyrosine phosphorylation increases with EphA2 oligomer size

The receptor tyrosine kinase (RTK) EphA2 is expressed in epithelial and endothelial cells and controls the assembly of cell-cell junctions. EphA2 has also been implicated in many diseases, including cancer. Unlike most RTKs, which signal predominantly as dimers, EphA2 readily forms higher order oligomers upon ligand binding. Here we investigated if a correlation exists between EphA2 signaling properties and the size of the EphA2 oligomers induced by multiple ligands, including the widely used ephrinA1-Fc ligand, the soluble monomeric m-ephrinA1, and novel engineered peptide ligands. We used Fluorescence Intensity Fluctuation (FIF) spectrometry to characterize the EphA2 oligomer populations induced by the different ligands. Interestingly, we found that different monomeric and dimeric ligands induce EphA2 oligomers with widely different size distributions. Comparison of FIF brightness distribution parameters and EphA2 signaling parameters reveals that the efficacy of EphA2 phosphorylation on tyrosine 588, which is indicative of receptor activation, correlates with EphA2 mean oligomer size. However, other characteristics, such as the efficacy of AKT inhibition and ligand bias coefficients, appear to be independent of EphA2 oligomer size. This work highlights the utility of FIF in RTK signaling research and demonstrates a quantitative correlation between the architecture of EphA2 signaling complexes and signaling features.

biophysics↗

In-cell detection of conformational sub-states of a GPCR quaternary structure: Modulation of sub-state probability by cognate ligand binding

ABSTRACTWhile the notion that G protein-coupled receptors (GPCRs) associate into homo- and hetero-oligomers has gained more recognition in recent years, a lack of consensus remains among researchers regarding the functional relevance of GPCR oligomerization. A relatively recent technique, Förster resonance energy transfer (FRET) spectrometry, allows for the determination of the oligomeric (or quaternary) structure of proteins in living cells via analysis of efficiency distributions of energy transferred from optically excited fluorescent tags acting as donors of energy to fluorescent tags acting as acceptors of energy and residing within the same oligomer. In this study, we significantly improved the resolution of the FRET-spectrometry approach to detect small differences between the interprotomeric distances among GPCR oligomers with subtle differences in quaternary structures. We then used this approach to study the conformational substates of oligomers of sterile 2 α-factor receptor (Ste2), a class D GPCR found in the yeast Saccharomyces cerevisiae of mating type a. Ste2 has previously been shown to form tetrameric oligomers at relatively low expression levels (between 11 and 140 molecules/μm2) in the absence of its cognate ligand, the α-factor pheromone. The significantly improved FRET spectrometry technique allowed us to detect multiple distinct quaternary conformational substates of Ste2 oligomers, and to assess how the α-factor ligand altered the proportion of such substates. The ability to determine quaternary structure substates of GPCRs provides exquisite means to elucidate functional relevance of GPCR oligomerization.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biophysics↗

Reply To: Molecular Brightness analysis of GPCR oligomerization in the presence of spatial heterogeneity

Annibale and Lohse have recently suggested a way1 in which the two-dimensional fluorescence intensity fluctuation (2D FIF) spectrometry2 may be further refined. Their main suggestion is to include a step in the analysis process where a case-by-case inspection of individual regions of interest of a membrane allows for selection of portions of the membrane which are "as homogenous as possible" and thereby exclude intensity spots potentially related to other sub-cellular structures. By incorporating that proposal into an objective and reproducible algorithm, here we show that 2D FIF has a built-in capability to automatically filter out such contributions, and that further removal of inhomogeneities does not alter the final results.

biophysics↗

A general method to quantify ligand-driven oligomerization using single- or two-photon excitation microscopy

Current technologies for probing membrane protein association and stability in cells are either very laborious or lack the bandwidth needed for fully quantitative analysis. Here we introduce a platform, termed one- or two-dimensional fluorescence intensity fluctuation spectrometry, for determining the identity, abundance, and stability of oligomers of differing sizes. The sensitivity of this approach is demonstrated by using monomers and oligomers of known sizes in both solutions and cell membranes. The analysis was extended to uncover the oligomeric states and their stability for both the epidermal growth factor receptor, a receptor tyrosine kinase, and the G protein-coupled secretin receptor. In both cases, agonist ligand binding shifted the equilibrium from monomers or dimers to rather large oligomers. Our method can be used in conjunction with a variety of light-based microscopy techniques, is several orders of magnitude faster than current approaches, and is scalable for high-throughput analyses.

biophysics↗