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Biology subjects

Martinez, K. L.

Publications and source records attributed to Martinez, K. L..

5 recordsLinked to original sources

A quantitative imaging framework reveals density-dependent GPCR oligomerization and organization in living cells

GPCR oligomerization has been reported for decades, yet its extent and functional relevance in living cells remain unresolved because existing approaches, often done in bulk, are poorly account for local receptor density, a major determinant of intermolecular interactions. Here, we establish a generic quantitative imaging framework that links spatially resolved FRET measurements describing protein oligomerization to local membrane protein in living cells. Using automated high-throughput analysis of fluorescence images, the method generates large density-resolved datasets that enable direct quantification of receptor oligomerization parameters, including apparent affinity, oligomerization state, and monomer/dimer populations at the submicrometer scale. Applied to class A GPCRs in HEK293 cells, the approach reveals receptor-specific density-dependent equilibria between monomers and dimers over physiologically relevant expression ranges, with no evidence for stable higher-order oligomers under basal conditions. The receptors studied exhibit distinct apparent affinities for dimerization, ranging from predominantly monomeric to dynamic monomer-dimer equilibria, indicating that local membrane density strongly influences receptor organization and that it is receptor dependent. The agreement between our measurements and low-density single-molecule studies further suggests that previously reported higher-order oligomers may partly reflect density-driven receptor proximity effects. By bridging single-molecule and ensemble measurements within a unified quantitative framework, this work reconciles conflicting observations in the GPCR oligomerization literature and provides a broadly applicable strategy for investigating membrane protein organization in living cells. SignificanceGPCR oligomerization in living cells is strongly influenced by the local protein density, yet most approaches do not quantitatively account for this parameter. Here, we introduce a quantitative high-throughput imaging framework that directly relates membrane protein local density to local oligomerization state in living cells. Applied to distinct GPCRs over physiologically relevant density ranges, the method reveals distinct density-dependent monomer-dimer equilibrium and apparent affinities for self-association. These results help reconcile longstanding discrepancies, where distinct oligomerization states have been measured depending on experimental conditions. More broadly, this work establishes local membrane protein density as a key determinant of membrane protein organization, and provides a quantitative framework applicable to membrane protein complexes in their native cellular context.

biophysics↗

Direct tensile force activates Adgrl3 in a tethered agonist-dependent manner

Adhesion G protein-coupled receptors are proposed to function as mechanosensors, yet whether controlled mechanical force can directly activate receptor signaling in living cells remains unclear. Using optical tweezers, we demonstrate that direct tensile force applied to the N-terminus of the adhesion GPCR Adgrl3 is sufficient to induce G protein recruitment in living cells. Activation is direction-specific, requires a functional tethered agonist, and aligns with coexisting force-driven GAIN-domain conformational changes and dissociation.

cell biology↗

Quantitative Determination of Protein Concentration in Living Cells

Biological systems are regulated by molecular interactions which are tuned by the concentrations of each of the molecules involved. Cells exploit this feature by regulating protein expression, to adapt their responses to overstimulation. Correlating events in single cells to the concentrations of proteins involved can therefore provide important mechanistic insight into cell behavior. Unfortunately, quantification of molecular densities by fluorescence imaging becomes non-trivial due to the diffraction limited resolution of the imaged volume. We show here an alternative approach to overcome this limitation in optical quantification of protein concentrations which is based on calibrating protein volume and surface densities in a model membrane system. We exploit the ability of fluorescently labeled annexin V to bind membranes in presence of calcium. By encapsulating known concentrations of annexin V, we can directly infer the membrane density of annexin V after addition of Ca2+ and correlate the density with the measured fluorescence signal. Our method, named Calmet, enables quantitative determination of the concentration of cytosolic and membrane associated proteins. The applicability of Calmet is demonstrated by quantification of a transmembrane protein receptor (beta 1 adrenergic receptor) labeled by SNAP tagged fluorophores and expressed in HEK293 cells. Calmet is a generic method suitable for the determination of a broad range of concentrations and densities and can be used on regular fluorescence images captured by confocal laser scanning microscopy.

biophysics↗

Suitable use of FRET-based Biosensors for Quantitative Detection of GPCR Activation

Cyclic adenosine 3,5-monophosphate is an important second messenger molecule that regulates many downstream signaling pathways in cells. Detection of cAMP levels relies on screenings of cell lysates or the use of genetically encoded biosensors for detection in living cells. Genetically encoded biosensors are, however, primarily used for bioimaging and rarely in high-throughput screenings of potential drug candidates. Here, we describe a quantitative fluorescence-based imaging method based on measurements of single living cells. We used a genetically encoded Epac149 biosensor to investigate cAMP production in living cells following ligand stimulation. The study revealed a dependence of the measured cAMP levels on the expression level of the biosensor in transiently transfected cells. While the biosensor maintained linearity of the signal at high expression levels, the linearity of the biosensor was lost at lower expression levels due to a deficit of the biosensor compared to the maximum possible production of cAMP in the cells. This problem was circumvented by establishment of a stable cell line with constitutive expression of the biosensor. We established dose response curves by stimulation with the {beta}1-adrenergic receptor partial agonist denopamine and observed up to 1.48-fold difference in the cellular response as well as up to 4.27-fold difference in LogEC50 values between cells with insufficient and sufficient biosensor expression. Careful characterization and control of the biosensor expression is therefore important in order to conduct quantitative analysis of the cAMP production and it allows the use of genetically encoded biosensor to be applied in high-throughput screenings.

biophysics↗

A photoswitchable ligand targeting β1-adrenoceptor enables light-control of the cardiac rhythm

Catecholamine-triggered {beta}-adrenoceptor ({beta}-AR) signaling is essential for the correct functioning of the heart. Although both {beta}1- and {beta}2-AR subtypes are expressed in cardiomyocytes, drugs selectively targeting {beta}1-AR have proven this receptor as the main target for the therapeutic effects of beta blockers in heart. Here, we report a new strategy for the spatiotemporal control of {beta}1-AR activation by means of light-regulated drugs with a high level of {beta}1-/{beta}2-AR selectivity. All reported molecules allow for an efficient real time optical control of receptor function in vitro. Moreover, using confocal microscopy we demonstrate that the binding of our best hit, pAzo-2, can be reversibly photocontrolled. Strikingly, pAzo-2 also enables a dynamic cardiac rhythm management on alive zebrafish larvae using light, thus highlighting the therapeutic and research potential of the developed photoswitches. Overall, this work provides the first proof of precise control of the therapeutic target {beta}1-AR in native environments using light.

pharmacology and toxicology↗