Biology subjects

Marston, D. J.

Publications and source records attributed to Marston, D. J..

8 recordsLinked to original sources

bioRxiv2026

Control of Guanine Exchange Factor Activity Using De Novo Designed Protein Inhibitors

Guanine Exchange Factors (GEF) of the Dbl family are the main activators of RhoA GTPases. GEF and GTPase activity is tightly regulated at the subcellular level with fast kinetics. Therefore, to fully understand the function of Dbl GEFs requires their study in living cells. Towards developing molecular tools that reversibly and rapidly modulate the activity of endogenous GEFs in living cells, here we developed a general platform for engineering inhibitors against members of the Dbl family of GEFs using generative protein design. Engineered proteins showed high affinity and remarkable specificity for the target GEFs and modulated GEF activity both in vitro and in cells. In a proof-of-principle example, a GEF inhibitor was coupled to a light-activated module, enabling the optogenetic control of its activity in cells. These findings show that generative protein design can create modulators of intracellular signaling and broaden the range of tools available for biological research.

cell biology↗

bioRxiv2026

RhoG, Rac1 and Cdc42 cooperation in cell protrusion revealed bymultiplexed optogenetics and biosensor imaging

The small GTPase Rac1 controls cell protrusion for a wide variety of critical cell functions. Its regulation by upstream guanine exchange factors (GEFs) has been the focus of multiple studies, but regulation by the GTPase RhoG remains poorly understood. RhoG is known to activate the ELMO/DOCK180 GEF complex, which in turn interacts with Rac1. It is unclear which aspects of protrusion are controlled by RhoG, and which of RhoGs effects on protrusion are mediated by Rac1. To address these questions, we developed biosensors and optogenetic tools to activate one GTPase while observing another, and to simultaneously visualize the activity of two GTPases. New tools included a photoactivable RhoG, a RhoG biosensor, and red shifted biosensors of RhoG and Rac1. RhoG and Rac1 activation events in protrusions were spatio-temporally correlated with one another and with protrusion velocity. Causal inference indicated that RhoG indeed unidirectionally activated Rac1. Photoactivation of RhoG and Rac1 indicated that specific aspects of protrusion behavior were controlled by RhoG, and only some via Rac1. Further dissection of RhoG to Rac1 signaling through simultaneous GTPase activation and biosensor visualization showed that PA-RhoG activates Rac1 predominantly through DOCK180 and that PA-RhoG can activate Cdc42 independently of Rac1.

cell biology↗

bioRxiv2026

A Mammalian Surface Display Platform to Optimize the Antigenicity of Viral Proteins for Vaccine Design

Vaccine development often involves modifying native viral proteins to enhance their stability and antigenicity, as seen in approved Covid-19 vaccines and multiple HIV vaccine candidates currently under investigation. High throughput screening on the surface of mammalian cells enables the rapid evaluation of oligomeric, glycosylated viral proteins and the identification of mutations that improve their properties for vaccine design. Here, we developed an experimental platform that uses the PiggyBac transposon system to display libraries of viral protein variants on the surface of mammalian cells for efficient screening. This approach addresses common challenges in existing mammalian display systems, including low transfection efficiency and the development of stable cell lines for iterative selection rounds. The new platform was validated by expressing and characterizing antigenically diverse viral proteins from influenza, SARS-CoV-2, and HIV. In a further application, library screening of influenza haemagglutinin libraries identified mutations that increased binding of broadly cross-reactive antibodies to a conserved, but partially occluded, epitope of interest for the development of a universal influenza vaccine. These results demonstrate the potential of this mammalian display platform to rapidly engineer immunogens with desired antigenic properties for vaccine design.

immunology↗

bioRxiv2025

Iterative immunogen optimization to focus elicited responses on a conserved, subdominant influenza hemagglutinin epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influenza, is hindered by the ability of these pathogens to mutate and readily evade immune responses. While these viruses contain conserved regions that cannot easily mutate without affecting viral fitness, these sites are subdominant, meaning that they are not the primary target of antibodies elicited by natural infection or current vaccines. Here, we integrated recent advances in machine learning methods for protein structure prediction and design to engineer protein immunogens that focus immune responses on a conserved, subdominant HA epitope targeted by broadly cross-reactive influenza antibodies. Iterating between computation-guided optimization and in vivo analyses generated immunogens that faithfully displayed the target epitope and redirected humoral responses toward it upon vaccination. These results provide a blueprint for applying recent protein engineering approaches to immunogen design and may inform the development of broadly protective influenza vaccines.

immunology↗

bioRxiv2024

A high affinity monoclonal antibody against HLA-E-VL9 enhances natural killer cell anti-tumor killing

A major natural killer (NK) cell and CD8+ T cell checkpoint is mediated by the inhibitory receptor NKG2A/CD94 and its ligand, HLA-E complexed with 9 amino acid HLA-Ia leader sequence-derived peptides termed VL9 (HLA-E-VL9). Here, we used structure-based design and high throughput library screening to generate antibodies that block NKG2A/CD94 interactions, resulting in direct NK and CD8+ T cell cytotoxicity, and trigger NK cell antibody-dependent cellular cytotoxicity (ADCC). Anti-HLA-E-VL9 antibodies limited HLA-E-VL9+ tumor growth in mice, demonstrating checkpoint inhibition activity in vivo. HLA-E-VL9 was found to be expressed on HIV-infected cells, and its engagement by HLA-E-VL9 antibodies eliminated infected cells by NK-mediated ADCC. HLA-E-VL9 antibodies also enhanced the killing of HIV-infected cells by NKG2A/CD94+ CD8+ T cells targeting a novel HLA-E binding HIV Rev-derived epitope. Therefore, anti-HLA-E-VL9 antibodies represent a novel approach to eliminate pathogenic target cells by enhancing NK and CD8+ T cell function and promoting ADCC.

immunology↗

bioRxiv2023

Engineered Immunogens to Expose Conserved Epitopes Targeted by Broad Coronavirus Antibodies

Immune responses to SARS-CoV-2 primarily target the receptor binding domain of the spike protein, which continually mutates to escape acquired immunity. Other regions in the spike S2 subunit, such as the stem helix and the segment encompassing residues 815-823 adjacent to the fusion peptide, are highly conserved across sarbecoviruses and are recognized by broadly reactive antibodies, providing hope that vaccines targeting these epitopes could offer protection against both current and emergent viruses. Here we employed computational modeling to design scaffolded immunogens that display the spike 815-823 peptide and the stem helix epitopes without the distracting and immunodominant RBD. These engineered proteins bound with high affinity and specificity to the mature and germline versions of previously identified broadly protective human antibodies. Epitope scaffolds interacted with both sera and isolated monoclonal antibodies with broadly reactivity from individuals with pre-existing SARS-CoV-2 immunity. When used as immunogens, epitope scaffolds elicited sera with broad betacoronavirus reactivity and protected as "boosts" against live virus challenge in mice, illustrating their potential as components of a future pancoronavirus vaccine.

immunology↗

bioRxiv2021

Correcting artifacts in ratiometric biosensor imaging; an improved approach for dividing noisy signals

The accuracy of biosensor ratio imaging is limited by signal/noise. Signals can be weak when biosensor concentrations must be limited to avoid cell perturbation. This can be especially problematic in imaging of low volume regions, e.g., along the cell edge. The cell edge is an important imaging target in studies of cell motility. We show how the division of fluorescence intensities with low signal-to-noise at the cell edge creates specific artifacts due to background subtraction and division by small numbers, and that simply improving the accuracy of background subtraction cannot address these issues. We propose a new approach where, rather than simply subtracting background from the numerator and denominator, we subtract a noise correction factor (NCF) from the numerator only. This NCF can be derived from the analysis of noise distribution in the background near the cell edge or from ratio measurements in the cell regions where signal-to-noise is high. We test the performance of the method first by examining two noninteracting fluorophores distributed evenly in cells. This generated a uniform ratio that could provide a ground truth. We then analyzed actual protein activities reported by a single chain biosensor for the guanine exchange factor Asef, and a dual chain biosensor for the GTPase Cdc42. The reduction of edge artifacts revealed persistent Asef activity in a narrow band ([~]640 nm wide) immediately adjacent to the cell edge. For Cdc42, the NCF method revealed an artefact that would have been obscured by traditional background subtraction approaches.

cell biology↗

bioRxiv2019

Connectivity analysis of GEF/GTPase networks in living cells

The cytoskeleton is regulated by dynamic, multi-layered signaling networks that interconnect Rho family small GTPases with exquisite spatiotemporal precision1. Understanding the organization of these networks is challenging, as protein activation and interaction occur transiently and with precise subcellular localization. We and others have used fluorescent biosensors in living cells to map the activation patterns of the Rho family small GTPases relative to the changes in cell edge dynamics that they produce2-4. These GTPases are controlled by the localized activity of numerous Rho guanine nucleotide exchange factors (RhoGEFs) with overlapping GTPase specificity5,6. Here we extend this analysis to determine functional relationships between GEFs and GTPases in controlling cell edge movements. First, biosensors for GEF activation are produced, and their activity correlated with edge dynamics. We then shift the wavelengths of GTPase biosensors to image and correlate the activation of GEFs and GTPases in the same cell. Using partial correlation analysis, we can parse out from such multiplexed data the contribution of each GEF - GTPase interaction to edge dynamics, i.e. we identify when and where specific GEF activation events regulate specific downstream GTPases to affect motility. We describe biosensors for eight Dbl family RhoGEFs based on a broadly applicable new design strategy (Asef, Tiam1, Vav isoforms, Tim, LARG, and {beta}-Pix), and red shifted biosensors for RhoA, Rac1 and Cdc42. In the context of motility, functional interactions were identified for Asef regulation of Cdc42 and Rac1. This approach exemplifies a powerful means to elucidate the real-time connectivity of signal transduction networks.

cell biology↗