Skip to content
#protein folding Open access

Modulation of Electrophysiology and Plaque Aggregation in Huntington’s Disease Patient-Derived Cells by Picosecond Pulsed Electric Fields

Oct 2026 · Old Dominion University
Genetic Neurodegenerative Diseases

Abstract

Huntington’s Disease (HD) is a fatal, autosomal dominant neurodegenerative disorder characterized by progressive motor and cognitive decline. Unstable expansion of cytosine-adenine-guanine (CAG) trinucleotide repeats in the huntingtin gene, often exceeding 35–40 repeats, results in an extended polyglutamine (PolyQ) tract in the translated protein. Abnormal folding of the mutant huntingtin (mHTT) protein leads to accumulation and aggregation within the cell, dysregulating various cellular processes through molecular sequestration. While several therapeutic strategies have been proposed, this disease remains incurable with treatments limited to symptom management. Pulsed electric fields (PEF), primarily in the microsecond and nanosecond ranges, have been studied extensively for the manipulation of biological systems. With advances in technology, picosecond pulsed electric fields (psPEF) have recently become an area of interest due to their predicted ability to access intracellular and molecular-scale targets while reducing reliance on classical plasma membrane electroporation under selected exposure conditions. Based on computational and experimental modeling, we hypothesize psPEF can fragment amyloid plaques and modulate cellular function in Huntington’s Disease patient-derived cell lines. Using a custom 3D bioprinter-based stimulation system, we exposed HD neural stem cells (NSC) and 28-day forebrain neurons to psPEF at 20 kV/cm and 40 kV/cm in a controlled and reproducible manner. In NSC, quantification of PolyQ punta revealed reduced aggregate burden and subcellular redistribution. Mitochondrial membrane polarization and gene expression alterations were also observed. For neurons, psPEF stimulation temporally and positively altered electrophysiological activity. This was coupled with an upregulation in brain derived neurotrophic factor (BDNF) and dopamine D2 Receptor (DRD2), suggesting improvements to neuronal connectivity and maturation. Differing from NSC, neurons exposed to psPEF under the same conditions did not exhibit a reduction in PolyQ punctations following pulse exposure. However, the visual presence of PolyQ alone does not distinguish abundant colocalization from true aggregation. Differences in cell morphology and electrochemical properties between the two cell types would likely necessitate additional psPEF treatments or varied pulse parameters to achieve the same degree of disaggregation in neurons. Taken together, these findings lay the foundation for developing psPEF into a drug-free, non-invasive therapeutic against Huntington’s Disease and other proteopathic, neurodegenerative disorders.

View source

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.