Biology subjects

Golde, T.

Publications and source records attributed to Golde, T..

11 recordsLinked to original sources

bioRxiv2026

Syndecan-4 exerts canonical heparan sulfate-dependent and noncanonical heparan sulfate-independent functions that regulate Aβ amyloid homeostasis

Background Heparan sulfate (HS) and heparan sulfate proteoglycans (HSPGs) are components of the amyloid deposits in Alzheimers disease (AD) and other amyloidoses. HS and HSPGs are canonically thought to facilitate amyloid deposition by accelerating the aggregation of amyloidogenic proteins and impairing their clearance in a HS-dependent manner. Methods Leveraging insights from large-scale proteomic data, we focused on Syndecan-4 (Sdc4), the most increased transmembrane HSPG in the AD brain and in the brain of A{beta} amyloid depositing mice. We used proximity ligation assays (PLA) to evaluate the association of Sdc4 with A{beta} in situ and assessed the impacts of the Sdc4 ectodomain on A{beta} aggregation in vitro. Overexpression studies in cells, hiPSC-derived neurons, and mouse organotypic brain slice cultures (OBSCs) coupled with structure-function studies were used to investigate impacts on A{beta} production and APP processing. Finally, effects of overexpression of Sdc4 in vivo in the CRND8 amyloid deposition model were evaluated. Results Consistent with canonical roles, PLA demonstrated a spatial association of Sdc4 with amyloid deposits, and in vitro, the Sdc4 ectodomain accelerated A{beta} fibril formation in a HS-dependent manner. Unexpectedly, Sdc4 overexpression reduced A{beta} production in CHO cells, hiPSC-derived neurons, and OBSCs. These effects were accompanied by dramatic decreases in the levels of sAPP and C83 and increased immature APP in the cell. Sdc4 promoted altered APP localization into detergent resistant membrane domains and increased APP association with ATG5+/LC3+/Cathepsin D+ vesicles. Structure-function studies revealed that the transmembrane region mediates these effects in a glycosaminoglycan-independent manner. Sdc4 overexpression in the brain of APP mice significantly reduced amyloid deposition at an early age. Conclusions Sdc4 exerts paradoxical and mechanistically distinct effects that could impact AD pathogenesis differentially, potentially promoting A{beta} fibrillization extracellularly while suppressing APP processing and A{beta} production. Such data challenge the prevailing view that increased levels of HSPGs in AD are always pro-amyloidogenic and identify Sdc4 as a previously unrecognized regulator of amyloid homeostasis in AD.

neuroscience↗

bioRxiv2025

A keratin bundling transition uncages the nucleus in stretchedepithelia

There is broad consensus that intermediate filaments play a key role in protecting cells and tissues from large deformations. However, little is known about how they fulfil this function. Here we demonstrate that epithelial cells undergo a slow adaptation to stretch that couples a star- bundling transition of keratin filaments and the escape of the nucleus from its keratin cage. The bundling transition begins with a depletion of keratin filaments at tri-cellular junctions followed by a progressive accumulation in thick bundles that bisect cell-cell junctions. Bundling is a cooperative process that initiates in a few scattered cells and propagates to their neighbours through desmosomes, leading to the growth of multicellular clusters that contain a percolated network of thick keratin bundles. Bundling dynamics are slow and strongly influenced by the interaction between actin and keratin. Informed by a computational model, we provide evidence that keratin bundling generates a compressive stress on the nucleus, which is relaxed by nuclear escape from the keratin cage. The topological transitions identified here provide epithelia with a multiscale mechanism to adapt to sustained stretch.

biophysics↗

bioRxiv2025

Progressive Supranuclear Palsy PERK haplotype B selectively translates DLX1 promoting tau toxicity

The unfolded protein response (UPR) sensor PERK exists in two haplotypes termed A and B. PERK-B uniquely confers increased risk for tauopathies like progressive supranuclear palsy (PSP), but the mechanisms distinguishing its function from PERK-A and contributing to its association with tau pathology are not known. Here, we developed a controlled cellular model for a pair-wise comparison of the two PERK haplotypes, finding their UPR functions nearly indistinguishable. However, a careful examination employing puromycin-based proteomics revealed that a subset of mRNA translation events were permissible under PERK-B, but not PERK-A, dependent UPR. Critically, one of the targets that escaped PERK-B suppression was the transcription factor DLX1, which has been genetically linked to PSP risk. Here, we found a shift in the solubility of DLX1 in human PSP brain tissue, and report that silencing of DLX-1 reduced the aggregation of tau in mammalian cells. Furthermore, silencing of the fly homolog of DLX1 was sufficient to decrease tau-induced toxicity, in vivo. Our results detail the haplotype-specific PERK-B/DLX-1 pathway as a novel driver of tau pathology in cells, flies, and likely human brain, revealing new insights into PSP pathogenesis and potential therapeutic targets.

neuroscience↗

bioRxiv2025

Multiscale wrinkling dynamics in epithelial shells

Thin shells buckle and wrinkle when compressed. While this behavior is generally detrimental in engineering, it has been widely implicated in epithelial morphogenesis and patterning during development. Yet the rules governing buckling of active viscoelastic shells like epithelia remain unclear. Here we delineate those rules by combining an experimental system that allows us to sculpt epithelial shells and subject them to controlled deflation with a 3D computational model linking cytoskeletal dynamics to tissue mechanics. Experiments and simulations across several orders of magnitude in time and space reveal that buckling emerges for fast deflation relative to the cortexs relaxation time, and is suppressed by high contractility. We show, further, that the tissue develops wrinkle patterns with different degrees of symmetry breaking that depend on its size and viscous confinement. Strikingly, we find that epithelial buckling is a multiscale phenomenon involving long-lived supracellular folds but also short-lived subcellular wrinkles in the actin cortex. Finally, by forming epithelial shells with anisotropic curvature we rationally direct buckling into predictable wrinkle patterns. Our study shows that epithelial tissues can be understood as hierarchical materials with mechanical instabilities that can be harnessed to engineer epithelial morphogenesis.

biophysics↗

bioRxiv2024

Fokker-Planck diffusion maps of multiple single cell microglial transcriptomes reveals radial differentiation into substates associated with Alzheimer's pathology

The identification of microglia subtypes is important for understanding the role of innate immunity in neu-rodegenerative diseases. Current methods of unsupervised cell type identification assume a small noise-to-signal ratio of transcriptome measurements that would produce well-separated cell clusters. However, identification of subtypes is obscured by gene expression noise, diminishing the distances in transcriptome space between distinct cell types and blurring boundaries. Here we use Fokker-Planck (FP) diffusion maps to model cellular differentiation as a stochastic process whereby cells settle into local minima, corresponding to cell subtypes, in a potential landscape constructed from transcriptome data using a nearest neighbor graph approach. By applying critical transition fields, we identify individual cells on the verge of transitioning between subtypes, revealing microglial cells in inactivated, homeostatic state before radially transitioning into various specialized subtypes. Specifically, we show that cells from Alzheimers disease patients are enriched in a microglia subtype associated to antigen presentation and T-cell recruitment.

systems biology↗

bioRxiv2021

Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways

The S209F variant of Abelson Interactor Protein 3 (ABI3) increases risk for Alzheimers disease (AD), but little is known about ABI3 function. RNAscope showed Abi3 is expressed in microglial and non-microglial cells, though its increased expression appears to be driven in plaque-associated microglia. Here, we evaluated Abi3-/- mice and document that both Abi3 and its overlapping gene, Gngt2, are disrupted in these mice. Expression of Abi3 and Gngt2 are tightly correlated, and elevated, in rodent models of AD. RNA-seq of the Abi3-Gngt2-/- mice revealed robust induction of an AD-associated neurodegenerative signature, including upregulation of Trem2, Plcg2 and Tyrobp. In APP mice, loss of Abi3-Gngt2 resulted in a gene dose- and age-dependent reduction in A{beta} deposition. Additionally, in Abi3-Gngt2-/- mice, expression of a pro-aggregant form of human tau exacerbated tauopathy and astrocytosis. Further, the AD-associated S209F mutation alters the extent of ABI3 phosphorylation. These data provide an important experimental framework for understanding the role of Abi3-Gngt2 function in AD. Our studies also demonstrate that manipulation of glial function could have opposing effects on amyloid and tau pathology, highlighting the unpredictability of targeting such pathways in AD.

neuroscience↗

bioRxiv2021

Manifestations of genetic risk for Alzheimer's Disease in the blood: a cross-sectional multi-omic analysis in healthy adults aged 18-90+

Deeply phenotyped cohort data can elucidate differences associated with genetic risk for common complex diseases across an age spectrum. Previous work has identified genetic variants associated with Alzheimers disease (AD) risk from large-scale genome-wide association study meta-analyses. To explore effects of known AD-risk variants, we performed a phenome-wide association study on ~2000 clinical, proteomic, and metabolic blood-based analytes obtained from 2,831 cognitively normal adult clients of a consumer-based scientific wellness company. Results uncovered statistically significant SNP-analyte associations for five genetic variants after correction for multiple testing (for SNPs in or near NYAP1, ABCA7, INPP5D, and APOE). These effects were detectable from early adulthood. Sex modified the effects of four genetic variants, with multiple interrelated immune-modulating effects associated with the PICALM variant. Sex-stratified GWAS results from an independent AD case-control meta-analysis supported sexspecific disease effects of the PICALM variant, highlighting the importance of sex as a biological variable. These analyses support evidence from previous functional genomics studies in the identification of a causal variant within the PILRA gene. Taken together, this study highlights clues to the earliest effects of AD genetic risk variants in individuals where disease symptoms have not (yet) arisen.

genetics↗

bioRxiv2021

Microglia show differential transcriptomic response to Aβ peptide aggregates ex vivo and in vivo

Aggregation and accumulation of amyloid-{beta} (A{beta}) is a defining feature of Alzheimers disease (AD) pathology. To study microglial responses to A{beta}, we applied exogenous A{beta} peptide, in either oligomeric or fibrillar conformation, to primary mouse microglial cultures and evaluated system level transcriptional changes and then compared these to transcriptomic changes in the brains of CRND8 APP mice. We find that primary microglial cultures have rapid and massive transcriptional change to in response to A{beta}. Transcriptomic responses to oligomeric or fibrillar A{beta} in primary microglia, though partially overlapping, are distinct and are not recapitulated in vivo where A{beta} progressively accumulates. Furthermore, though classic immune mediators show massive transcriptional changes in the primary microglial cultures, these changes are not observed in the mouse model. Together, these data extend previous studies which demonstrate that microglia responses ex vivo are poor proxies for in vivo responses. Finally, these data demonstrate the potential utility of using microglia as biosensors of different aggregate conformation, as the transcriptional responses to oligomeric and fibrillar A{beta} can be distinguished.

neuroscience↗

bioRxiv2019

Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach

Alzheimers disease (AD) is a complex and heterogenous brain disease that affects multiple inter-related biological processes. This complexity contributes, in part, to existing difficulties in the identification of successful disease-modifying therapeutic strategies. To address this, systems approaches are being used to characterize AD-related disruption in molecular state. To evaluate the consistency across these molecular models, a consensus atlas of the human brain transcriptome was developed through coexpression meta-analysis across the AMP-AD consortium. Consensus analysis was performed across five coexpression methods used to analyze RNA-seq data collected from 2114 samples across 7 brain regions and 3 research studies. From this analysis, five consensus clusters were identified that described the major sources of AD-related alterations in transcriptional state that were consistent across studies, methods, and samples. AD genetic associations, previously studied AD-related biological processes, and AD targets under active investigation were enriched in only three of these five clusters. The remaining two clusters demonstrated strong heterogeneity between males and females in AD-related expression that was consistently observed across studies. AD transcriptional modules identified by systems analysis of individual AMP-AD teams were all represented in one of these five consensus clusters except ROS/MAP-identified Module 109, which was specific for genes that showed the strongest association with changes in AD-related gene expression across consensus clusters. The other two AMP-AD transcriptional analyses reported modules that were enriched in one of the two sex-specific Consensus Clusters. The fifth cluster has not been previously identified and was enriched for genes related to proteostasis. This study provides an atlas to map across biological inquiries of AD with the goal of supporting an expansion in AD target discovery efforts.

systems biology↗

bioRxiv2018

High affinity interactions and signal transduction between Aβ oligomers and TREM2

Rare coding variant in the Triggering receptor expressed on myeloid cells 2 (TREM2) are associated with increased risk for Alzheimers disease (AD), but how they confer this risk remains uncertain. We assessed binding of TREM2, AD associated TREM2 variants to various forms of A{beta} and APOE in multiple assays. TREM2 interacts directly with various forms of A{beta}, with highest affinity interactions observed between TREM2 and soluble A{beta}42 oligomers. We confirm the previous interaction between APOE3 and APOE4 and TREM2. High affinity binding of TREM2 to A{beta} oligomers is characterized by very slow dissociation. Pre-incubation with A{beta} is shown to block the interaction of APOE. In cellular assays, AD-associated variants of TREM2 reduced the amount of A{beta}42 internalized, and in NFAT assay the R47H variant decreased NFAT signaling activity in response to A{beta}42. These studies demonstrate i) a high affinity interaction between TREM2 and A{beta} oligomers that can block interaction with another ligand and ii) that AD-associated TREM2 variants bind A{beta} with equivalent affinity but show loss of function in terms of signaling and A{beta} internalization.

cell biology↗

bioRxiv2018

Atlas of Transcription Factor Binding Sites from ENCODE DNase Hypersensitivity Data Across 27 Tissue Types

There is intense interest in mapping the tissue-specific binding sites of transcription factors in the human genome to reconstruct gene regulatory networks and predict functions for non-coding genetic variation. DNase-seq footprinting provides a means to predict genome-wide binding sites for hundreds of transcription factors (TFs) simultaneously. However, despite the public availability of DNase-seq data for hundreds of samples, there is neither a unified analytical workflow nor a publicly accessible database providing the locations of footprints across all available samples. Here, we implemented a workflow for uniform processing of footprints using two state-of-the-art footprinting algorithms: Wellington and HINT. Our workflow scans the footprints generated by these algorithms for 1,530 sequence motifs to predict binding sites for 1,515 human transcription factors. We applied our workflow to detect footprints in 192 DNase-seq experiments from ENCODE spanning 27 human tissues. This collection of footprints describes an expansive landscape of potential TF occupancy. At thresholds optimized through machine learning, we report high-quality footprints covering 9.8% of the human genome. These footprints were enriched for true positive TF binding sites as defined by ChIP-seq peaks, as well as for genetic variants associated with changes in gene expression. Integrating our footprint atlas with summary statistics from genome-wide association studies revealed that risk for neuropsychiatric traits was enriched specifically at highly-scoring footprints in human brain, while risk for immune traits was enriched specifically at highly-scoring footprints in human lymphoblasts. Our cloud-based workflow is available at github.com/globusgenomics/genomics-footprint and a database with all footprints and TF binding site predictions are publicly available at http://data.nemoarchive.org/other/grant/sament/sament/footprint_atlas.

bioinformatics↗