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Fryer, T.

Publications and source records attributed to Fryer, T..

5 recordsLinked to original sources

pH-sensitive binder design with Proton-PottsMPNN

Physiological compartments span a wide pH range, from blood plasma near pH 7.4 through the mildly acidic tumor microenvironment to the acidified endosome and lysosome, and binders whose affinity responds to these differences underpin recycling antibodies, catalytic extracellular degraders and tumor-conditional therapeutics. Such binders are still obtained mainly by combinatorial histidine scanning and display selection, which is laborious and yields few transferable design rules. Recent computational approaches have enabled the design of pH-sensitive binders that engage at physiological pH and release under acidic conditions, by introducing histidines at key positions so that protonation generates electrostatic repulsion, evaluated through physics-based calculations. However, because the design model has no explicit representation of protonation state, it cannot shape the residues around a titratable site to favor one state over the other, leaving pH sensitivity to be screened for rather than specified. Here we present Proton-PottsMPNN, a sequence-design model that explicitly represents the protonated and deprotonated states of histidine, aspartate and glutamate as distinct sequence tokens. Because protonation state is specified rather than inferred, the model redesigns the microenvironment around a titratable residue so that the chosen protonation state is energetically favored over its alternative. Using Proton-PottsMPNN we designed a library of 8,407 de novo PD-L1 candidate binders in which sequence-structure compatibility and protonation state preference were designed jointly under a single energy function, with no structure-prediction filtering applied. The full library was synthesized and displayed on yeast, then screened against PD-L1 across a series of pH values by fluorescence- and magnetic-activated cell sorting, recovering 237 and 288 unique pH-dependent designs respectively. Transition pH values spanned 4.0 to 5.8, and switches were centered on protonated aspartate and glutamate as well as histidine. Recovered designs showed a stronger model preference for their designed protonation state than designs from the same backbone that were not recovered, and this preference was strongest in the designs that required the most acidic conditions to bind. Proton-PottsMPNN therefore designs binders that engage PD-L1 under acidic conditions fully de novo, directly from a specified protonation state.

biophysics↗

Simplified post-assembly plasmid library amplification for increased transformation yields in E. coli and S. cerevisiae

Many biological disciplines rely upon the transformation of host cells with heterologous DNA, the limited efficiency of which can significantly hinder a researchers work. Directed evolution in particular typically requires the screening of large (thousand-billion member) libraries to identify sequences of interest, and the creation of these libraries at large enough scales to overcome transformation inefficiencies is a cost-and time-intensive process. We simplify this process by using Rolling Circle Amplification (RCA) to amplify in vitro plasmid DNA assembly reactions, followed by facile resolution of the concatomeric products to monomers through treatment with specific endonucleases and subsequent efficient transformation of the linear DNA products into host cells for in vivo circularisation. We demonstrate that use of a nicking endonuclease to generate homologous single-stranded ends increases the efficiency of E. coli chemical transformation versus both linear DNA with double-stranded homologous ends, and circular golden-gate assembly products, whilst use of a restriction endonuclease to generate linear DNA with double-stranded homologous ends increases the efficiency of chemical and electrotransformation of S. cerevisiae. Importantly, we also optimise the process such that both RCA and endonuclease treatment occur efficiently in the same buffer, streamlining the workflow and reducing product loss through purification steps. We expect our approach to have utility beyond directed evolution in E. coli and S. cerevisiae, to areas such as genome engineering and the manipulation of alternative organisms with even poorer transformation efficiencies.

synthetic biology↗

ALOHA: AI-guided tool for the quantification of venom-induced haemorrhage in mice

Venom-induced haemorrhage constitutes a severe pathology in snakebite envenomings, especially those inflicted by viperid species. In order to both explore venom compositions accurately, and evaluate the efficacy of viperid antivenoms for the neutralisation of haemorrhagic activity it is essential to have available a precise, quantitative tool for empirically determining venom-induced haemorrhage. Thus, we have built on our prior approach and developed a new AI-guided tool (ALOHA) for the quantification of venom-induced haemorrhage in mice. Using a smartphone, it takes less than a minute to take a photo, upload the image, and receive accurate information on the magnitude of a venom-induced haemorrhagic lesion in mice. This substantially decreases analysis time, reduces human error, and does not require expert haemorrhage analysis skills. Furthermore, its open access web-based graphical user interface makes it easy to use and implement in laboratories across the globe. Together, this will reduce the resources required to preclinically assess and control the quality of antivenoms, whilst also expediting the profiling of hemorrhagic activity in venoms for the wider toxinology community.

bioinformatics↗

Gigavalent display of proteins on monodisperse polyacrylamide hydrogels as a versatile modular platform for functional assays and protein engineering

The robust modularity of biological components that are assembled into complex functional systems is central to synthetic biology. Here we apply modular "plug and play" design principles to a microscale solid phase protein display system that enables protein purification and functional assays for biotherapeutics. Specifically, we capture protein molecules from cell lysates on polyacrylamide hydrogel display beads ( PHD beads), made in microfluidic droplet generators. These monodisperse PHD beads are decorated with predefined amounts of anchors, methacrylate-PEG-benzylguanine (BG) and methacrylate-PEG-chloroalkane (CA). Anchors form covalent bonds with fusion proteins bearing cognate tag recognition (SNAP and Halo-tags) in specific, orthogonal and stable fashion. Given that these anchors are copolymerised throughout the 3D structure of the beads, proteins are also distributed across the entire bead sphere, allowing attachment of [~]109 protein molecules per bead (O 20 m). This mode of attachment reaches a higher density than possible on widely used surface-modified beads, and additionally mitigates surface effects that often complicate studies with proteins on beads. We showcase a diverse array of protein modules that enable the secondary capture of proteins, either non-covalently (IgG and SUMO-tag) or covalently (SpyCatcher, SpyTag, SnpCatcher and SnpTag). Proteins can be displayed in their monomeric forms, but also reformatted as a multivalent display (using secondary capture modules that create branches) to test the contributions of avidity and multivalency towards protein function. Finally, controlled release of modules by irradiation of light is achieved by incorporating the photocleavable protein PhoCl: irradiation severs the displayed protein from the solid support, so that functional assays can be carried out in solution. As a demonstration of the utility of valency engineering, an antibody drug screen is performed, in which an anti-TRAIL-R1 scFv protein is released into solution as monomers-hexamers, showing a [~]50-fold enhanced potency in the pentavalent format. The ease of protein purification on solid support, quantitative control over presentation and release of proteins and choice of valency make this experimental format a versatile, modular platform for large scale functional analysis of proteins, in bioassays of protein-protein interactions, enzymatic catalysis and bacteriolysis. Table of Contents Graphics O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=197 SRC="FIGDIR/small/466587v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@57ad85org.highwire.dtl.DTLVardef@410238org.highwire.dtl.DTLVardef@1f8d6c5org.highwire.dtl.DTLVardef@1dc4366_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

Neuroinflammation and protein aggregation co-localize across the frontotemporal dementia spectrum.

The clinical syndromes of frontotemporal dementia are clinically and neuropathologically heterogeneous, but processes such as neuroinflammation may be common across the disease spectrum. We investigated how neuroinflammation relates to the aggregation of Tau and TDP-43 in frontotemporal dementia, and to the heterogeneity of clinical disease. We used positron emission tomography in vivo with (a) [11C]PK-11195, a marker of activated microglia and a proxy index of neuroinflammation, and (b) [18F]AV-1451, a radioligand with increased binding to pathologically affected regions in tauopathies and diseases associated with TDP-43 protein aggregation, and which is used as a surrogate marker of non-{beta}-amyloid protein aggregation. We assessed 31 patients with frontotemporal dementia (10 with behavioural variant frontotemporal dementia, 11 with the semantic variant of primary progressive aphasia and 10 with the non-fluent variant of primary progressive aphasia), 28 of whom underwent both [18F]AV-1451 and [11C]PK-11195 PET, and matched controls (14 for [18F]AV-1451 and 15 for [11C]PK-11195). We used univariate region-of-interest analyses, and multivariate analysis of the distribution of binding that explicitly control for individual differences in ligand affinity for TDP-43 and different Tau isoforms. We found differences between patients and controls in frontotemporal regions for both neuroinflammation and protein aggregation, and a strong positive correlation between these two processes in all disease groups. Despite this regional co-localisation, the multivariate distribution of [11C]PK-11195 binding related better to clinical heterogeneity than did the distribution of [18F]AV-1451: distinct spatial modes of neuroinflammation were associated with different frontotemporal dementia syndromes and supported accurate group classification of participants. These in vivo findings indicate a close association between neuroinflammation and protein aggregation in frontotemporal dementia. The inflammatory component may be important in shaping the clinical and neuropathological patterns of the diverse clinical syndromes of frontotemporal dementia.

neuroscience↗