Biology subjects

Williamson, D. J.

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

9 recordsLinked to original sources

bioRxiv2026

Gag proteolysis drives HIV-1 envelope conformational closure through the gp41 cytoplasmic tail

HIV-1 must present a fusion-competent envelope glycoprotein (Env) to enter host cells while concealing the very conformation targeted by broadly neutralising antibodies (bnAbs). How the virus resolves this conflict has remained unclear. Using a minimally invasive nanobody-labelling strategy targeting Env's V4 loop, we combine single-virus FRET, fluorescence lifetime cross-correlation spectroscopy, and DNA-PAINT super-resolution microscopy to resolve Env conformation on individual, intact virions from the primary isolate JR-FL. We show that immature virions predominantly display an open Env conformation, while Gag maturation drives acquisition of the tightly closed, fusion-competent State 1 that harbours the principal bnAb epitope. Truncating the Env cytoplasmic tail abolishes this regulation, identifying the gp41 tail as the conduit linking Gag lattice maturation to Env's conformational fate. We further show that bnAb b12 preferentially binds open Env on immature virions, supporting a decoy mechanism that shields mature virions from immune recognition, with direct implications for HIV-1 vaccine design.

biophysics↗

bioRxiv2025

Early HIV-1 maturation drives Env clustering and fusion competence

Human immunodeficiency virus type 1 (HIV-1) particles are initially released from the cell in an immature state that cannot cause infection. The proteolytic processing of the Gag structural polyprotein into its individual components triggers a dramatic structural reorganisation that produces fully mature and infectious virions. HIV-1 maturation remodels the Gag lattice to enable membrane fusion, but how early proteolytic steps regulate the envelope glycoprotein (Env) organisation is unknown. Although cryo-electron tomography has defined structural intermediates of maturation, it has not resolved how Env conformers relate to specific early maturation states. Here, we show that partial Gag cleavage, prior to capsid formation, allosterically reorganises the membrane-proximal lattice, promoting Env clustering and fusion-competent conformations. Using native virus preparations combined with cryogenic fluorescence-lifetime imaging correlated to cryo-electron tomography, we map Env conformational signatures onto defined Gag-processing intermediates. This reveals an unrecognised early maturation stage in which incomplete Gag processing primes Env for entry, shifting current models by positioning functional Env activation upstream of core maturation. These results establish that early lattice remodelling is a key determinant of HIV-1 fusion competence and expose a previously inaccessible, intervention-sensitive step with implications for therapeutic and vaccine strategies targeting maturation-entry coupling.

microbiology↗

bioRxiv2025

Alpha-BET: Functional labeling of envelope glycoproteins with single domain antibodies for in-virus single molecule imaging

We present Alpha-BET, a structure-guided strategy leveraging AlphaFold to identify optimal ALFA-tag insertion sites for minimally disruptive labeling of viral glycoproteins with high-affinity nanobodies. Applied to HIV-1 Env, SARS-CoV-2 S, and NiV G, Alpha-BET preserves structural integrity and function. For HIV-1 Env, we demonstrate super-resolution DNA-PAINT MINFLUX 3D imaging enabled by tag insertion, showcasing its power for visualizing native trimers in single virions and potential for broader applications in virus research.

biophysics↗

bioRxiv2024

Nano-org, a functional resource for single-molecule localisation microscopy data

We present a publicly accessible, curated, and functional resource, termed "nano-org", containing single-molecule localisation microscopy (SMLM) data representing the nanoscale distributions of proteins in cells. Nano-org is searchable by comparing the statistical similarity of the datasets it contains. This unique functionality allows the resource to be used to understand the relationships of nanoscale architectures between proteins, cell types or conditions, enabling a new field of spatial nano-omics.

biophysics↗

bioRxiv2022

Live Cell Multicolour Lifetime Imaging Using Genetically Encodable Fluorophores

Nine fluorescent proteins (FPs) simultaneous imaging has been demonstrated in a single acquisition using fluorescence lifetime imaging microscopy (FLIM) combined with pulsed interleaved excitation (PIE) for three laser lines. We also show how to unmix spectrally similar FPs in a pixel-by-pixel manner with an analytical non-fitting solution.

biophysics↗

bioRxiv2021

Correction of multiple-blinking artefacts in photoactivated localisation microscopy

Photoactivated localisation microscopy (PALM) produces an array of localisation coordinates by means of photoactivatable fluorescent proteins. However, observations are subject to fluorophore multiple-blinking and each protein is included in the dataset an unknown number of times at different positions, due to localisation error. This causes artificial clustering to be observed in the data. We present a workflow using calibration-free estimation of blinking dynamics and model-based clustering, to produce a corrected set of localisation coordinates now representing the true underlying fluorophore locations with enhanced localisation precision. These can be reliably tested for spatial randomness or analysed by other clustering approaches, and previously inestimable descriptors such as the absolute number of fluorophores per cluster are now quantifiable, which we validate with simulated data. Using experimental data, we confirm that the adaptor protein, LAT, is clustered at the T cell immunological synapse, with its nanoscale clustering properties depending on location and intracellular phosphorylatable tyrosine residues.

biophysics↗

bioRxiv2019

Multi-colour DNA-qPAINT reveals how Csk nano-clusters regulate T-cell receptor signalling

Phosphorylation of the negative regulatory element of the tyrosine kinase Lck by Csk down-modulates T-cell receptor induced signalling. Being constitutively active, Csk spatial organization is responsible for regulating this signalling interaction. Here, we used stoichiometrically accurate, multiplexed, single-molecule super-resolution microscopy (DNA-qPAINT) to image the nanoscale spatial architecture of Csk and two binding partners implicated in its membrane association - PAG and TRAF3. Combined with a newly developed co-clustering analysis framework, we provide a powerful resource for dissecting signalling pathways regulated by spatio-temporal organisation. We found that Csk forms nanoscale clusters proximal to the plasma membrane that are lost post-stimulation and re-recruited at later time points. Unexpectedly, these clusters do not directly co-localise with PAG at the membrane, but instead provide a ready pool of monomers to down-regulate signalling. By generating CRISPR/Cas9 knock-out T-cells, our data also identify that protein tyrosine phosphatase non-receptor type 22 (PTPN22) is essential for Csk nanocluster re-recruitment and for maintenance of the synaptic PAG population.

immunology↗

bioRxiv2019

Three-dimensional total internal reflection fluorescence nanoscopy with sub-10 nm resolution

Single-molecule localization microscopy (SMLM) enables far-field imaging with lateral resolution in the range of 10 to 20 nanometres, exploiting the fact that the centre position of a single molecules image can be determined with much higher accuracy than the size of that image itself. However, attaining the same level of resolution in the axial (third) dimension remains challenging. Here, we present SIMPLER, a photometric method to decode the axial position of single molecules in a total internal reflection fluorescence (TIRF) microscope. SIMPLER requires no hardware modification whatsoever to a conventional TIRF microscope, and complements any 2D SMLM method to deliver 3D images with nearly isotropic nanometric resolution. Examples of the performance of SIMPLER include the visualization of the nuclear pore complex through dSTORM with sub-20 nm resolution and of microtubule cross-sections resolved with sub-10 nm through DNA-PAINT.

biophysics↗

bioRxiv2018

Machine-learning for cluster analysis of localization microscopy data.

Quantifying the clustering of points within single-molecule localization microscopy data is useful to understanding the spatial relationships of the molecules in the underlying sample. The conversion of point pattern data into a meaningful description of clustering is difficult, especially for biologically derived data, as the definitions of clustering are often subjective or simplistic. Many existing computational approaches are also limited in their ability to process large-scale data-sets or to deal effectively with inhomogeneities in clustering. Here we have developed a supervised machine-learning approach to cluster analysis which is fast and accurate. Trained on a variety of simulated clustered data, the network can then classify all points from a typical localization microscopy data-set (several million points from the entire field of view) as being either clustered or not-clustered, with the potential to include additional classifiers to describe different types of clusters. Clustered points can then be further refined into like-clusters for the measurement of cluster area, shape, and point-density. We demonstrate the performance on simulated data and experimental data of the kinase Csk and the adaptor PAG in both naive and pre-stimulated primary human T cell synapses.

cell biology↗