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Vissa, A.

Publications and source records attributed to Vissa, A..

3 recordsLinked to original sources

Differential Roles of Kinetic On- and Off-Rates in T-Cell Receptor Signal Integration Revealed with a Modified Fab'-DNA Ligand

Antibody-derived T-cell receptor (TCR) agonists are commonly used to activate T cells. While antibodies can trigger TCRs regardless of clonotype, they bypass native T cell signal integration mechanisms that rely on monovalent, membrane-associated, and relatively weakly-binding ligand in the context of cellular adhesion. Commonly used antibodies and their derivatives bind much more strongly than native peptide-MHC (pMHC) ligands bind their cognate TCRs. Because ligand dwell time is a critical parameter that tightly correlates with physiological function of the TCR signaling system, there is a general need, both in research and therapeutics, for universal TCR ligands with controlled kinetic binding parameters. To this end, we have introduced point mutations into recombinantly expressed -TCR{beta} H57 Fab to modulate the dwell time of monovalent Fab binding to TCR. When tethered to a supported lipid bilayer via DNA complementation, these monovalent Fab-DNA ligands activate T cells with potencies well-correlated with their TCR binding dwell time. Single-molecule tracking studies in live T cells reveal that individual binding events between Fab-DNA ligands and TCRs elicit local signaling responses closely resembling native pMHC. The unique combination of high on- and off-rate of the H57 R97L mutant enables direct observations of cooperative interplay between ligand binding and TCR-proximal condensation of the linker for activation of T cells (LAT), which is not readily visualized with pMHC. This work provides insights into how T cells integrate kinetic information from synthetic ligands and introduces a method to develop affinity panels for polyclonal T cells, such as cells from a human patient. STATEMENT OF SIGNIFICANCET cells read kinetic information from ligands binding to T-cell receptors (TCRs) to make cell fate decisions. Unique kinetic features of a modified Fab-DNA ligand enable direct visualization multiple TCR signal coordination through a nascent LAT condensation event. We further observed positive feedback through a kinetic on-rate enhancement in the growing LAT condensate. These observations help unify several seemingly disparate aspects of TCR signaling that have been debated in the literature. Furthermore, calibration of the Fab-DNA ligand against native agonist pMHC establishes a basis for quantitative analysis of TCR signaling in polyclonal T cell populations.

biophysics↗

Hyperspectral super-resolution imaging with far-red emitting fluorophores using a thin-film tunable filter

New innovations in single-molecule localization microscopy (SMLM) have revolutionized optical imaging, enabling the characterization of biological structures and interactions with unprecedented detail and resolution. However, multi-colour or hyperspectral SMLM can be particularly challenging due to non-linear image registration issues, which affect image quality and data interpretation. Many of these arise as a consequence of differences in illumination optics (beam profile, power density, polarization, point spread function) for the different light sources. This is particularly acute in evanescent-wave based approaches (TIRF) where beam shape, decay depth, and power density are important. A potential useful approach would be to use a single excitation wavelength to perform hyperspectral localization imaging.. We report herein on the use of a variable angle tunable thin-film filter to spectrally isolate far-red emitting fluorophores. This solution was integrated into a commercial microscope platform using an open-source hardware design, enabling the rapid acquisition of SMLM images with ~ 15-20 nm spectral resolution.. By characterizing intensity distributions, average intensities, and localization frequency through a range of spectral windows, we identified an optimal fluorophore pair for two-colour SMLM. Fluorophore crosstalk between the different spectral windows was assessed by examining the effect of varying the photon output thresholds on the localization frequency and fraction of data recovered. The utility of this approach was demonstrated by hyper-spectral super-resolution imaging of the interaction between the mitochondrial protein, TOM20 and the peroxisomal protein, PMP70.

biophysics↗

mTORC1 controls glycogen synthase kinase 3β nuclear localization and function

Glycogen synthase kinase 3{beta} (GSK3{beta}) phosphorylates and regulates a wide range of substrates involved in diverse cellular functions. Some GSK3{beta} substrates, such as c-myc and snail, are nuclear-resident transcription factors, suggesting possible control of GSK3{beta} function by regulation of its nuclear localization. Inhibition of mechanistic target of rapamycin (mTORC1) led to partial redistribution of GSK3{beta} from the cytosol to the nucleus, and GSK3{beta}-dependent reduction of the expression of c-myc and snail. mTORC1 is controlled by metabolic cues, such as by AMP-activated protein kinase (AMPK) or amino acid abundance. Indeed AMPK activation or amino acid deprivation promoted GSK3{beta} nuclear localization in an mTORC1-dependent manner. GSK3{beta} was detected in several distinct endomembrane compartments, including lysosomes. Consistently, disruption of late endosomes/lysosomes through perturbation of Rab7 resulted in loss of GSK3{beta} from lysosomes, and enhanced GSK3{beta} nuclear localization as well as GSK3{beta}-dependent reduction of c-myc levels. This indicates that GSK3{beta} nuclear localization and function is suppressed by mTORC1, and suggests a new link between metabolic conditions sensed by mTORC1 and GSK3{beta}-dependent regulation of transcriptional networks controlling biomass production.\n\nSummary statement (15-30 words)GSK3{beta} nuclear localization and function is negatively regulated by the metabolic and mitogenic sensor mTORC1. mTORC1 control of GSK3{beta} localization requires Rab7 and lysosomal membrane traffic.

cell biology↗