Biology subjects

Sherman, E.

Publications and source records attributed to Sherman, E..

5 recordsLinked to original sources

bioRxiv2026

IR-AMES uncovers structure and composition of Alzheimer' s tau oligomers

The structure and composition of biomolecular assemblies shape their biological functions and disease processes. Yet existing approaches either require homogeneous samples or lack chemical specificity and sensitivity, limiting the elucidation of transient oligomeric species under native conditions. Here we report infrared absorbance-modulated evanescent scattering (IR-AMES) that enables ultrasensitive structural and compositional profiling of individual biomolecular assemblies in aqueous environments. This capability is achieved by photothermally encoding mid-infrared vibrational absorption into scattering contrast using a total-internal-reflection geometry. Applying IR-AMES to recombinant tau assemblies, we resolve random-coil monomers and the emergence of heterogeneous oligomers beyond ensemble-averaged measurements. In Alzheimer's disease brain-derived tau, IR-AMES reveals enrichment of antiparallel {beta}-sheet structures and RNA components in oligomers. Using lipid nanodiscs as membrane mimics, we find that pathological tau oligomers exhibit enhanced interactions with anionic membranes. IR-AMES enables spectroscopic imaging of diverse biomolecular assemblies, opening opportunities to elucidate structure-function relationships in heterogeneous biomolecular systems.

biophysics↗

bioRxiv2025

Modeling Alzheimer's Disease with APOE4 Neuron-Glial Brain Assembloids Reveals IGFBPs as Therapeutic Targets

Alzheimers disease (AD) research has been hindered by the lack of models that faithfully recapitulate the full profile of disease progression in a human genetic background. We developed a 3D assembloid model ("Masteroid") using iPSC-derived neurons, astrocytes, and microglia from APOE4/4 and isogenic control lines. Neurons were seeded with tau oligomers, then combined with astrocytes and microglia to form mature 3D Masteroids, followed by amyloid-{beta} oligomer exposure. After four weeks, AD-Masteroids exhibited hallmark pathologies, including extracellular amyloid-{beta} deposits, intracellular tau aggregation, neurodegeneration, astrogliosis, and microglial activation, with APOE4 exacerbating all phenotypes. Single-cell RNA sequencing further identified novel roles of IGFBP pathways in amyloid-{beta} and tau-mediated pathology. This innovative platform provides a robust system to dissect cellular and molecular mechanisms of AD progression and offers a powerful tool for therapeutic discovery. HighlightsO_LIThe 3D human neuron-glia assembloid ("Masteroid"), composed of neurons, astrocytes, microglia, and oligodendrocytes, faithfully recapitulates human brain ultrastructure and intercellular interactions. C_LIO_LIExposure to oligomeric tau and A{beta} induced hallmark Alzheimers pathologies, including amyloid deposition, tau aggregation, neurodegeneration, and gliosis. C_LIO_LIThe APOE4 genotype exacerbated all pathological features, highlighting its role in driving multicellular interactions that accelerate disease progression. C_LIO_LIThe IGF signaling axis was identified as a key mediator of A{beta}- and tau-induced pathology and a potential therapeutic target. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/683162v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@f91740org.highwire.dtl.DTLVardef@165726eorg.highwire.dtl.DTLVardef@13b957forg.highwire.dtl.DTLVardef@d40307_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2025

Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers

Accurate cancer subtyping with accompanying molecular characterization is critical for precision oncology. While machine learning approaches have been applied to both digital pathology and cancer genomics, previous work has been limited in sample size and has typically aggregated granular cancer subtypes into coarse groupings, likely obfuscating informative molecular and prognostic associations and phenotypic variation of more detailed tumor subtypes. Accordingly, we collated 378,123 hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) with matched targeted DNA clinical sequencing results and OncoTree detailed cancer subtypes from a real-world cohort of 71,142 patients. Using this scaled, granular dataset and a cancer subtype knowledge graph, we developed Mosaic: a family of calibrated machine learning models using H&E WSI embeddings to classify tumors and identify molecular phenotypes across 163 detailed subtypes. The cancer subtyping module (Aeon) achieved an area under the receiver operating characteristic curve (AUROC) of 0.992 overall, with 161/163 subtypes reaching an AUROC [≥] 0.90 and improved performance over a state-of-the-art genomics-based classifier. The genomic inference module (Paladin) achieved an AUROC [≥] 0.80 for 167 pairs of detailed subtypes and genomic targets. We further used the learned histopathologic representations to i) identify key associations of the histopathologic embeddings with clinical biomarkers; ii) identify unsupervised sub-clusters of tumors with genomic determinants of tumor phenotype; iii) specify granular diagnoses for cancers of unknown primary, evaluated by genomic associations and expected clinical outcome distributions; iv) annotate functional significance for variants of uncertain significance (VUS); and v) identify cases that mimic the phenotypic effect of known DNA variants on H&E in the absence of detectable DNA alterations. Taken together, this work advances our understanding of phenotypic variation of granular tumor subtypes, their relevance to enhanced diagnostics, and their potential utility in risk stratification with multimodal machine learning in cancer.

cancer biology↗

bioRxiv2025

Tau Oligomerization Drives Neurodegeneration via Nuclear Membrane Invagination and Lamin B Receptor Binding in Alzheimer's disease

The microtubule-associated protein tau aggregates into oligomeric complexes that highly correlate with Alzheimers disease (AD) progression. Increasing evidence suggests that nuclear membrane disruption occurs in AD and related tauopathies, but whether this is a cause or consequence of neurodegeneration remains unclear. Using the optogenetically inducible 4R1N Tau::mCherry::Cry2Olig (optoTau) system in iPSC-derived neurons, we demonstrate that tau oligomerization triggers nuclear rupture and nuclear membrane invagination. Pathological tau accumulates at sites of invagination, inducing structural abnormalities in the nuclear envelope and piercing into the nuclear space. These findings were confirmed in the humanized P301S tau (PS19) transgenic mouse model, where nuclear envelope disruption appeared as an early-onset event preceding neurodegeneration. Further validation in post-mortem AD brain tissues revealed nuclear lamina disruption correlating with pathological tau emergence in early-stage patients. Notably, electron microscopy shows that tau-induced nuclear invagination triggers global chromatin reorganization, potentially driving aberrant gene expression and protein translation associated with AD. These findings suggest that nuclear membrane disruption is an early and possibly causative event in tau-mediated neurodegeneration, establishing a mechanistic link between tau oligomerization and nuclear stress. Further investigation into nuclear destabilization could inform clinical strategies for mitigating AD pathogenesis.

neuroscience↗

bioRxiv2021

Nano-scale Architecture of Blood-Brain Barrier Tight-Junctions

Tight junctions (TJs) between blood-brain barrier (BBB) endothelial cells construct a robust physical barrier, whose damage underlies BBB dysfunctions related to several neurodegenerative diseases. What makes these highly specialized BBB-TJs extremely restrictive remains unknown. Here, we use super-resolution microscopy (dSTORM) to uncover new structural and functional properties of BBB TJs. Focusing on three major components, Nano-scale resolution revealed sparse (occludin) vs. clustered (ZO1/claudin-5) molecular architecture. Developmentally, permeable TJs become first restrictive to large molecules, and only later to small molecules, with claudin-5 proteins arrangement compacting during this maturation process. Mechanistically, we reveal that ZO1 clustering is independent of claudin-5 in-vivo. In contrast to accepted knowledge, we found that in the developmental context, total levels of claudin-5 inversely correlate with TJ functionality. Our super-resolution studies provide a unique perspective of BBB TJs and open new directions for understanding TJ functionality in biological barriers, ultimately enabling restoration in disease or modulation for drug delivery.

cell biology↗