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Moffat, J. G.

Publications and source records attributed to Moffat, J. G..

4 recordsLinked to original sources

A scalable human neuron model of Alzheimer's disease relevant tauopathy reveals mechanisms linking Tau fibrillization to synaptic dysfunction

Tauopathies, including Alzheimer's disease, are driven by pathological aggregation of hyperphosphorylated Tau, which disrupts synaptic integrity, impairs neuronal communication, and contributes to cognitive decline. To dissect tauopathy pathogenesis and enable therapeutic discovery, reliable and scalable human iPSC-neuron models are essential. Here, we developed two complementary iPSC-derived neuron models: an endogenous Tau seeding model, in which neurons are challenged with pre-formed Tau fragments that form paired helical filament (PHF)-consistent structures, and a Tau-0N3R overexpression seeding model to accelerate pathology. Both models recapitulate hallmark features of tauopathy, including the progressive formation of intracellular, hyperphosphorylated, sarkosyl-insoluble, and conformationally altered Tau aggregates (AT8, MC1 positive), along with synaptic and neuronal dysfunction. Cryogenic electron tomography (cryo-ET) further revealed the morphology of Tau fibrils within cells, as well as the ultrastructure of Tau fibrils trapping synaptic vesicles in situ. Using this platform, we performed integrated phosphoproteomics, high-content screening, and functional validation to identify key pathways driving Tau aggregation. MARK2-mediated phosphorylation within Tau's microtubule-binding domain emerged as an early trigger of aggregation, confirmed by site-specific mutagenesis. In parallel, small molecules targeting the PI3K/mTOR/GSK3 pathway reduced aggregation and restored synaptic function, with GSK3 inhibition lowering phosphorylation at critical aggregation-driving sites on Tau. Together, these findings establish a physiologically relevant, scalable platform for therapeutic screening that connects Tau seed uptake, site-specific phosphorylation, fibril formation, and synaptic disruption, ultimately identifying mechanistically separable intervention points along the aggregation cascade.

cell biology↗

Virtual phenotypic screening discovers novel scaffolds inhibiting the PI3K/mTOR pathway

Phenotypic drug discovery has yielded many first-in-class small-molecule drugs by discovering modulators of disease phenotypes in physiologically relevant cellular systems. However, high-content phenotypic assays lack the ultra-high-throughput scalability of target-based screens. Recent advances in virtual screening present an opportunity to address this bottleneck, but have been limited to simple phenotypes like viability, restricted to small repurposing libraries, or lack in-depth biological validation. Here, we present PhenoCompass, a multimodal co-embedding model that aligns compound structures and high-content phenotypic imaging to enable virtual phenotypic screening over billion-compound libraries. Following training on the Joint Undertaking in Morphology dataset with more than 100,000 Cell Painting compound profiles, retrospective validation with historical biochemical high-throughput screening data demonstrates that PhenoCompass ranks compounds according to their biochemical target engagement. Leveraging PhenoCompass, we performed a prospective screen of 3.8 billion Enamine REAL compounds for inhibitors of PI3K/mTOR pathway, a critical signaling cascade whose aberrant activation is a common tumor driver. This search identified 11 novel compounds with pathway-consistent Cell Painting readout and diverse scaffolds, a 54-fold enrichment over the training set. Orthogonal validation experiments using a FOXO3A reporter assay and direct kinase inhibition confirmed seven structurally novel inhibitors with distinct mechanisms of action. These results highlight the convergence of diverse molecular target profiles onto a shared morphological pathway signature and establish PhenoCompass as a robust framework for high-content phenotypic virtual screening.

bioinformatics↗

Conformation Selection by ATP-competitive Inhibitors and Allosteric Communication in ERK2

Activation of the extracellular signal regulated kinase-2 (ERK2) by phosphorylation has been shown to involve changes in protein dynamics, as determined by hydrogen-deuterium exchange mass spectrometry (HDX-MS) and NMR relaxation dispersion measurements. These can be described by a global exchange between two conformational states of the active kinase, named "L" and "R", where R is associated with a catalytically productive ATP-binding mode. An ATP-competitive ERK1/2 inhibitor, Vertex-11e, has properties of conformation selection for the R-state, revealing movements of the activation loop that are allosterically coupled to the kinase active site. However, the features of inhibitors important for R-state selection are unknown. Here we survey a panel of ATP-competitive ERK inhibitors using HDX-MS and NMR and identify 14 new molecules with properties of R-state selection. They reveal effects propagated to distal regions in the P+1 and helix F segments surrounding the activation loop, as well as helix L16. Crystal structures of inhibitor complexes with ERK2 reveal systematic shifts in the Gly loop and helix C, mediated by a Tyr-Tyr ring stacking interaction and the conserved Lys-Glu salt bridge. The findings suggest a model for the R-state involving small movements in the N-lobe that promote compactness within the kinase active site and alter mobility surrounding the activation loop. Such properties of conformation selection might be exploited to modulate the protein docking interface used by ERK substrates and effectors.

biochemistry↗

Activation loop dynamics are controlled by conformation-selective inhibitors of ERK2

Modulating the dynamics of protein kinases expands the inhibitory mechanisms for small molecules. NMR measurements of the MAP kinase, ERK2, have shown that activation by dual-phosphorylation induces global motions involving exchange between two states, \"L\" and \"R\". We show that ERK inhibitors Vertex-11e and SCH772984 exploit the small energetic difference between L and R to shift the equilibrium in opposing directions, while inhibitor GDC-0994 and ATP analogue AMP-PNP retain L{rightleftharpoons}R exchange. An X-ray structure of active 2P-ERK2 complexed with AMP-PNP reveals a shift in the Gly-rich loop along with domain closure to position the nucleotide in a more catalytically productive conformation relative to inactive 0P-ERK2:ATP. X-ray structures of 2P-ERK2 complexed with Vertex-11e or GDC-0994 recapitulate this closure, which is blocked in a complex with a SCH772984 analogue. Thus, the L[->]R shift in 2P-ERK2 is associated with movements needed to form a competent active site. Solution measurements by hydrogen-exchange mass spectrometry (HX-MS) reveal distinct binding modes for Vertex-11e, GDC-0994 and AMP-PNP to active vs inactive ERK2, where the extent of HX protection matches their degree of R-state formation. In addition, Vertex-11e and SCH772984 show opposite effects on HX near the activation loop, suggesting that L{rightleftharpoons}R exchange involves coupling between the activation loop and the active site. Consequently, these inhibitors differentially affect MAP kinase phosphatase activity towards 2P-ERK2. We conclude that global motions in ERK2 promote productive nucleotide binding, and couple with the activation loop to allow control of dephosphorylation by conformation-selective inhibitors.\n\nSIGNIFICANCE STATEMENTProtein kinases in the RAF/MKK/ERK signaling pathway are dysregulated in cancer and are important targets for inhibitor development. Catalytic activation of the MAP kinase, ERK2, induces global motions involving exchange between two conformational states. Using nuclear magnetic resonance (NMR) and hydrogen-exchange mass spectrometry, we show that inhibitors exploit these motions to trap ERK2 in distinct states. Our findings reveal motions of the activation loop coupled to the active site. Inhibitor binding can control these activation loop dynamics to alter its rate of dephosphorylation by MAP kinase phosphatase.

biochemistry↗