Biology subjects

Ayers, J. I.

Publications and source records attributed to Ayers, J. I..

4 recordsLinked to original sources

bioRxiv2026

Cryo-EM Structures of Infectious Low-Twist α-Synuclein Filaments in Lewy Bodies

-Synuclein (aSyn) aggregation within Lewy bodies underlies Parkinson's disease and associated dementias. These aggregates are often comprised of amyloid filaments, most of which appear untwisted or have extremely low twist, complicating high-resolution structural determination by cryogenic electron microscopy (cryo-EM). Here, we isolated filaments from the brain tissue of a patient with dementia with Lewy bodies and show infectivity in a cell line system that propagates Lewy aSyn. Then, we determined 2.3-2.9 [A] cryo-EM structures of low-twist aSyn filaments from this tissue and from a publicly available Parkinson's disease dementia dataset. In both structures, the protofilament adopts a fold highly similar to the canonical Lewy fold with conserved cofactor and peptidic densities. Compared to previously resolved high-twist filaments, the low-twist filament is left-handed and flattened along the filament axis, resulting in register shifts of interlayer contacts, while preserving the overall architecture. Our results establish that low-twist filaments, which include over 75% of disease-associated Lewy aSyn amyloids, share a common structural core with high-twist forms and are the predominant aSyn species in samples that engage in templated infection.

biophysics↗

bioRxiv2021

Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeutics

In microscopy-based drug screens, fluorescent markers carry critical information on how compounds affect different biological processes. However, practical considerations may hinder the use of certain fluorescent markers. Here, we present a deep learning method for overcoming this limitation. We accurately generated predicted fluorescent signals from other related markers and validated this new machine learning (ML) method on two biologically distinct datasets. We used the ML method to improve the selection of biologically active compounds for Alzheimers disease (AD) from high-content high-throughput screening (HCS). The ML method identified novel compounds that effectively blocked tau aggregation, which would have been missed by traditional screening approaches unguided by ML. The method improved triaging efficiency of compound rankings over conventional rankings by raw image channels. We reproduced this ML pipeline on a biologically independent cancer-based dataset, demonstrating its generalizability. The approach is disease-agnostic and applicable across diverse fluorescence microscopy datasets.

pharmacology and toxicology↗

bioRxiv2018

Enhanced Neurite Outgrowth and Regeneration in ALS Resistant Motor Neurons from SOD1 Mutant Mouse Models

Amyotrophic lateral sclerosis (ALS) is a progressive, fatal neurodegenerative disease characterized by motor neuron cell death. However, not all motor neurons are equally susceptible. Most of what we know about the surviving motor neurons comes from gene expression profiling, less is known about their functional traits. We found that resistant motor neurons cultured from SOD1 ALS mouse models have enhanced axonal outgrowth and dendritic branching. They also have an increase in the number and size of actin-based structures like growth cones and filopodia. These phenotypes occur in cells cultured from presymptomatic mice and mutant SOD1 models that do not develop ALS, but not in embryonic motor neurons. Enhanced outgrowth and upregulation of filopodia can be induced in wild-type adult cells by expressing mutant SOD1. These results demonstrate that mutant SOD1 can enhance the regenerative capability of ALS resistant motor neurons. Capitalizing on this mechanism could lead to new therapeutic strategies.

neuroscience↗

bioRxiv2018

Loss of charge at solvent exposed Lys residues does not induce the aggregation of superoxide dismutase 1

Mutations in superoxide dismutase 1 (SOD1) associated with familial amyotrophic lateral sclerosis (fALS) induce the protein to misfold and aggregate. To date, missense mutations at more than 80 different amino acid positions have been associated with disease. How these mutations perturb native structure to heighten the propensity to misfold and aggregate is unclear. One potential mechanism that has been suggested is that when mutations occur at positions occupied by charged amino acids, then repulsive forces that would inhibit aberrant protein:protein interactions would be reduced. Mutations at twenty-one charged residues in SOD1 have been associated with fALS. Here, we examined whether loss of positively charged surface Lys residues would induce the misfolding and aggregation of SOD1. We randomly mutated four different Lys residues (K30, K36, K75, K91) in SOD1 and expressed these variants as fusion proteins with yellow fluorescent protein (YFP). We also assessed whether these mutations induced binding to a conformation-restricted SOD1 antibody, designated C4F6, which recognizes non-natively folded protein. Our findings indicate that SOD1 generally tolerates mutations at surface exposed lysine residues, and that loss of positive charge is insufficient to induce aggregation. Our findings may explain why mutations at these Lys residues have not been identified in ALS patients.

biochemistry↗