Biology subjects

Fernandes, R. A.

Publications and source records attributed to Fernandes, R. A..

7 recordsLinked to original sources

bioRxiv2026

Low CAR affinity enhances T-cell synapse dynamics and activation

Low affinity chimeric antigen receptors (CARs) can clinically outperform high-affinity variants, yet the molecular mechanisms underlying affinity-dependent activity remain unclear. Here, we show that low CAR affinity enables faster CAR cluster motion, which is central to T-cell activation. We compared low-affinity CAT and high-affinity FMC63 CARs signaling at different stages of activation on supported lipid bilayers functionalized with defined CD19 densities. At low CAR expression on dense CD19 bilayers, low-affinity CAT CARs formed more mature and dynamic synapses, recruited ZAP70 more efficiently, and showed faster microcluster motion. These proximal signaling changes were accompanied by stronger calcium flux and increased NFAT nuclear translocation. Our data support a model in which weaker, lower-affinity CAR-antigen interactions promote receptor turnover, microcluster mobility, and signaling-adaptor recruitment, thereby enhancing downstream signal propagation. Our work provides a mechanistic basis for the superior functional performance reported for affinity-tuned CD19 CAR-T cells.

biophysics↗

bioRxiv2026

CXCR3 on transferred T cells enables vaccine-boosted adoptive T-cell therapy in solid tumors

Adoptive T-cell therapy (ACT) has demonstrated marked clinical benefit in hematological malignancies but has limited efficacy against solid tumors. Cancer vaccines can improve ACT, but the mechanisms underlying this combination are poorly understood. Here, we combined ACT with chimpanzee adenovirus ChAdOx1 (ChAd) and modified vaccinia Ankara (MVA) encoding tumor antigens. Whereas PD1 blockade failed to improve ACT, the combination with ChAd/MVA vaccination drove durable regression of established tumors, correlating with expansion of tumor-reactive T cells in lymphoid organs and increased tumor infiltration by T cells. Mechanistically, ChAd priming induced CXCR3 ligands (CXCL10 and CXCL9) in the vaccine-draining lymph node, thereby recruiting transferred T cells to this node independently of cognate antigen. CXCR3 expression on the transferred T cells, but not on host cells, was required for the anti-tumor effect of the combination therapy and favored T-cell accumulation in the vaccine-draining lymph node and the tumor. These findings identify CXCR3 on the transferred T cells as a determinant of ACT plus vaccination synergy and provide a rationale for combining viral-vector vaccines with TCR-T therapies, and for selecting or engineering T cells to retain CXCR3 expression.

immunology↗

bioRxiv2026

Reverse engineering the fatally cross-reactive A3A TCR to decouple potency and specificity

T cell receptor (TCR) affinity enhancement can introduce off-target cross-reactivity with life-threatening consequences, as illustrated by the MAGE-A3-specific A3A TCR, which caused fatal cardiotoxicity through recognition of a Titin-derived peptide. Here, we reconstructed the cross-reactivity landscape by reverse-engineering A3A toward its wild-type precursor, generating intermediate variants in which engineered CDR2 residues are systematically reverted to the wild-type sequence. Reverting just two engineered residues yields a receptor, v9, that retains MAGE-A3 cytotoxicity comparable to A3A while eliminating Titin and other acquired cross-reactivities. Structurally, these substitutions reduce CDR2-MHC contacts and disrupt an intra-TCR CDR2-CDR3{beta} interaction, propagating conformational changes across CDR3 loops that reshape peptide engagement without altering docking geometry. These results demonstrate that mutations outside the peptide-contacting CDR3 loops can allosterically reconfigure antigen specificity and establish simple stepwise reverse engineering to wild-type as a strategy for correcting TCR cross-reactivity.

immunology↗

bioRxiv2026

Bilayer acoustic force spectroscopy (BAFS) for quantifying receptor-antigen binding strength in immune synapses

Immune cell receptor - ligand interactions are key to cancer immunotherapy. However, receptor-ligand affinities often fail to predict T-cell mediated cancer killing, while immune-target cell binding strength measurements are limited by low precision and high non-specific binding. Here we present bilayer acoustic force spectroscopy (BAFS), a method to quantify the binding strength of receptors in immune synapses that virtually eliminates non-specific binding and increases the resolving power by up to 50-fold. By replacing target cells with a supported lipid bilayer functionalized with antigens, BAFS avoids antigen-independent interactions and target cell heterogeneity, while maintaining the spatial self-organization of receptors that typifies active immune synapses. We demonstrate the high sensitivity and control by showing how CAR T-cell synapse strength depends on CD19 antigen density, and by revealing that CD8 synergistically strengthens {beta}TCR-pMHC synapses independently of Lck recruitment to CD8. BAFS is a general method that can be used broadly in immunotherapy screening and to dissect the complex molecular interactions that underpin immune synapse activation.

biophysics↗

bioRxiv2025

Patch deconvolution for Fourier light-field microscopy

Imaging flow cytometry using Fourier light-field microscopy enables high-throughput three-dimensional cellular imaging, capable of capturing thousands of events per second. However, volumetric reconstruction speed remains orders of magnitude slower than the acquisition speed. The current state of art uses Richardson-Lucy algorithm, restricted to just 5-10 reconstructed per second with GPU acceleration. This limitation hinders real-time applications such as cell sorting and thus has bottlenecked the widespread adoption of 3D imaging flow cytometry. We introduce patch deconvolution, an optimisation compatible with the Richardson-Lucy framework that significantly accelerates convergence, achieving over 100-200 reconstructions per second on standard GPUs, a 20-40 fold improvement over Richardson-Lucy. Validated on both simulated and experimental datasets, patch deconvolution achieves reconstruction quality comparable to Richardson-Lucy in both static and flow data. This supports rapid cell sorting based on spatial features and enables advanced applications, such as detecting rare spatial events in large cell populations, which would otherwise be indistinguishable in traditional flow cytometry.

biophysics↗

bioRxiv2017

Constraining CD45 exclusion at close-contacts provides a mechanism for discriminatory T-cell receptor signalling

The T-cell receptor (TCR) triggers the elimination of pathogens and tumors by T lymphocytes. In order for this to avoid damage to the host, the receptor has to discriminate between thousands of peptide ligands presented by each host cell. Exactly how the TCR does this is unknown. In resting T-cells, the TCR is largely unphosphorylated due to the dominance of phosphatases over kinases expressed at the cell surface. When agonist peptides are presented to the TCR by major histocompatibility complex (MHC) proteins expressed by antigen-presenting cells (APCs), very fast receptor triggering occurs, leading to TCR phosphorylation. Recent work suggests that this depends on the local exclusion of the phosphatases from regions of contact of the T cells with the APCs. Here, we develop and test a quantitative treatment of receptor triggering reliant only upon TCR dwell-time in phosphatase-depleted cell-cell contacts constrained in area by cell topography. Using the model and experimentally-derived parameters, we find that ligand discrimination is possible but that it depends crucially on individual contacts being 400 nm in diameter or smaller, i.e. the size generated by microvilli. The model not only correctly predicts the relative signaling potencies of known agonists and non-agonists, but achieves this in the absence of conventional, multi-step kinetic proof-reading. Our work provides a simple, quantitative and predictive molecular framework for understanding why TCR triggering is so selective and fast, and reveals that for some receptors, cell topography crucially influences signaling outcomes.\n\nSignificance statementOne approach to testing biological theories is to determine if they are predictive. A simple, theoretical treatment of TCR triggering suggests that ligand discrimination by the receptor relies on just two physical principles: (1) the time TCRs spend in cell-cell contacts depleted of large tyrosine phosphatases; and (2) constraints on contact size imposed by T cells using finger-like protrusions to interrogate their targets. The theory not only allows agonistic and non-agonistic TCR ligands to be distinguished but predicts the relative signalling potencies of agonists with remarkable accuracy. This suggests that the theory captures the essential features of receptor triggering.

immunology↗

bioRxiv2016

In vitro reconstitution of T cell receptor-mediated segregation of the CD45 phosphatase

T cell signaling initiates upon binding of peptide-major histocompatibility complex (pMHC) on an antigen-presenting cell (APC) to the T cell receptor (TCR) on a T cell. TCR phosphorylation in response to pMHC binding is accompanied by segregation of the transmembrane phosphatase CD45 away from TCR-pMHC complexes. The kinetic segregation hypothesis proposes that CD45 exclusion shifts the local kinase-phosphatase balance to favor TCR phosphorylation. Spatial partitioning may arise from the size difference between the large CD45 extracellular domain and the smaller TCR-pMHC complex, although parsing potential contributions of extracellular protein size, actin activity, and lipid domains is difficult in living cells. Here, we reconstitute segregation of CD45 from bound receptor-ligand pairs using purified proteins on model membranes. Using a model receptor-ligand pair (FRB-FKBP), we first test physical and computational predictions for protein organization at membrane interfaces. We then show that the TCR-pMHC interaction causes partial exclusion of CD45. Comparing two developmentally-regulated isoforms of CD45, the larger RABC variant is excluded more rapidly and efficiently (~50%) than the smaller R0 isoform (~20%), suggesting that CD45 isotypes could regulate signaling thresholds in different T cell subtypes. Similar to the sensitivity of T cell signaling, TCR-pMHC interactions with Kds of [≤]15 M were needed to exclude CD45. We further show that the co-receptor PD-1 with its ligand PD-L1, immunotherapy targets that inhibit T cell signaling, also exclude CD45. These results demonstrate that the binding energies of physiological receptor-ligand pairs on the T cell are sufficient to create spatial organization at membrane-membrane interfaces.\n\nSIGNIFICANCE STATEMENTThe interface between a T cell and an antigen-presenting cell (APC) results in the formation of biochemically distinct plasma membrane domains that initiate signaling cascades. Here, using biochemical reconstitution and microscopy, we show that the binding energies of the TCRpMHC and PD-1-PD-L1 complexes are sufficient to create spatial organization at a model membrane-membrane interface. We show that spatial organization depends upon receptor-ligand binding affinity and the relative sizes of the extracellular domains. These biophysical parameters may be used to fine-tune signaling cascades in T cells.

immunology↗