Biology subjects

McAffee, D. B.

Publications and source records attributed to McAffee, D. B..

4 recordsLinked to original sources

bioRxiv2025

T cell costimulatory and inhibitory signals differentially modulate LAT condensate nucleation propensity after TCR ligation

Linker for activation of T cells (LAT) is a membrane-surface scaffold protein that assembles key signaling molecules upon T cell receptor (TCR) activation. Recent observations have revealed LAT assembly occurs in discretized condensates traceable to single molecular TCR activation events. Moreover, the condensation process occurs abruptly, but after a distinct delay, indicative of a type of phase transition. Here we examine the effects of costimulatory (CD80, CD86) and inhibitory (PD-L1) ligands on the nucleation propensity of LAT condensation. We utilize single molecule mobility tracking to resolve the moment a pMHC molecule binds to TCR combined with intracellular imaging to measure the time delay between pMHC:TCR binding and nucleation of the corresponding LAT condensate. These delay time distributions reflect the propensity function for stochastic nucleation of the LAT condensate and provide a measure of the effective signal strength from a single, activated TCR. The results reveal that CD28 stimulation by CD80 or CD86 causes a distinct reduction in the mean delay time to LAT condensation while PD-L1 is mildly antagonistic to the process. Collectively, these observations strengthen evidence that probability and timing of the LAT nucleation process itself is tightly associated with signal propagation downstream from individual TCR activation events.

biophysics↗

bioRxiv2025

Machine-learning strategy for high error tolerance in image-based digital molecular assays

There is a significant global health need to translate more in vitro diagnostic tests (IVDs) from clinical laboratories to field-based applications, including point-of-care (POC) and self-administered test formats. These applications typically require smaller sample sizes, limit the extent of sample processing and measurement capabilities, and introduce greater handling variability. Error tolerance is one of the most critical factors for successful field-based assay design. Here, we examine machine-learning (ML) strategies to enhance the error tolerance of image-based nanoparticle immunoassays. Random dispersions of nanoparticles were imaged in microliter sample volumes, and images were processed to determine analyte concentrations based on nanoparticle appearance. Assay performance was characterized using two common blood diagnostics: C-reactive protein (CRP) and S.CoV-2 IgG. We compare the results from a conventional image analysis, a hybrid ML-conventional approach based on pixel segmentation, and a full end-to-end image regression using a targeted regularization strategy. Training images for the full image regression approach required only a single label for training - the analyte concentration - eliminating the need for labor-intensive pixel-level labeling. Ultimately, the fully ML-based analysis significantly improved dynamic range, sensitivity, and reproducibility in high-error settings, including direct measurements performed in whole blood.

bioengineering↗

bioRxiv2021

Discrete LAT condensates encode antigen information from single pMHC:TCR binding events

LAT assembly into a two-dimensional protein condensate is a prominent feature of antigen discrimination by T cells. Here, we use single-molecule imaging techniques to resolve the spatial position and temporal duration of each pMHC:TCR molecular binding event while simultaneously monitoring LAT condensation at the membrane. An individual binding event is sufficient to trigger a LAT condensate, which is self-limiting, and neither its size nor lifetime is correlated with the duration of the originating pMHC:TCR binding event. Only the probability of the LAT condensate forming is related to the pMHC:TCR binding dwell time. LAT condenses abruptly, but after an extended delay from the originating binding event. A LAT mutation that facilitates phosphorylation at the PLC-{gamma}1 recruitment site shortens the delay time to LAT condensation and alters T cell antigen specificity. These results identify a role for the LAT protein condensation phase transition in setting antigen discrimination thresholds in T cells.

biophysics↗

bioRxiv2021

Height, but not binding epitope, affects the potency of synthetic TCR agonists

Under physiological conditions, peptide-MHC (pMHC) molecules can trigger T-cell receptors (TCRs) as monovalent ligands that are sparsely distributed on the plasma membrane of an antigen-presenting cell. TCR can also be activated by artificial clustering, such as with pMHC tetramers or antibodies; however, these strategies circumvent many of the natural ligand discrimination mechanisms of the T cell and can elicit non-physiological signaling activity. We have recently introduced a synthetic TCR agonist composed of an anti-TCR{beta} Fab antibody fragment covalently bound to a DNA oligonucleotide, which serves as a membrane anchor. This Fab-DNA ligand efficiently activates TCR as a monomer when membrane-associated and exhibits a potency and activation profile resembling agonist pMHC. In this report, we explore the geometric requirements for effective TCR triggering and cellular activation by Fab-DNA ligands. We find that T cells are insensitive to the ligand binding epitope on the TCR complex, but that length of the DNA tether is important. Increasing the intermembrane distance spanned by Fab-DNA:TCR complexes decreases TCR triggering efficiency and T cell activation potency, consistent with the kinetic-segregation model of TCR triggering. These results establish design parameters for construction of synthetic TCR agonists that are able to activate polyclonal T cell populations, such as T cells from a human patient, in a similar manner as the native pMHC ligand. STATEMENT OF SIGNIFICANCEWe report geometric requirements for potent T cell activation by synthetic TCR ligands that mimic biophysical properties of the native pMHC ligand, but have the additional ability to activate polyclonal T cell populations. We find that increasing the space between apposed membranes at TCR binding events decreases ligand potency, but that changing the ligands binding epitope on the TCR has essentially no effect. The observed decrease in potency with increased ligand height is attributed to the longer ligands attenuated ability to trigger TCR at binding events.

biophysics↗