Skip to content
#protein folding Open access

Presynaptic homeostasis mediated by exocytosis of a SNARE protein.

Oct 2026 · Nature · 0 citations · 43 references
Medicine

TL;DR

This work shows that high-frequency stimulation alters the subsequent properties of neurotransmitter release to confer a presynaptic form of homeostasis, independent of postsynaptic receptors, and shows that the activity-dependent regulation of release requires the t-SNARE syntaxin.

Abstract

The neural plasticity that underlies adaptation and learning requires countervailing homeostatic mechanisms to maintain the stability and responsiveness of neural circuits. Previous work has described several forms of synaptic homeostasis1, but the mechanisms that detect changes in activity and transduce these into altered neurotransmission have remained poorly understood. Here we show that high-frequency stimulation alters the subsequent properties of neurotransmitter release to confer a presynaptic form of homeostasis, independent of postsynaptic receptors. The mechanism involves vesicular SNARE protein (v-SNARE) VAMP7 (vesicle-associated membrane protein 7), which reduces neurotransmitter release by inhibiting the entry of Ca2+ specifically through P/Q-type presynaptic Ca2+ channels. Previous work has implicated target SNARE proteins (t-SNAREs) in the inhibition of Ca2+ channels2, but without clear physiological rationale. We show that the activity-dependent regulation of release mediated by VAMP7 requires the t-SNARE syntaxin. Although VAMP7 acts at the plasma membrane to inhibit P/Q-type channels, it localizes predominantly to a subset of synaptic vesicles made by adaptor protein-3 (AP-3) that respond specifically to high-frequency stimulation3,4. The localization of VAMP7 to AP-3-derived synaptic vesicles thus provides a mechanism for the activity-dependent delivery of VAMP7 to the plasma membrane, where it associates with syntaxin to inhibit P/Q-type Ca2+ channels and transmitter release. This homeostatic form of metaplasticity operates at multiple excitatory synapses, and in its absence, the fraction of FOS+ neurons increases several fold, revealing a general property of excitatory neurotransmission that might also maintain the sparsity of neural connections.

Read PDF

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.