Skip to content
#protein folding Open access

Extreme conservation and rare evolutionary deviations in mammalian NOTCH3 inform the interpretation of CADASIL pathogenicity

Oct 2026 · bioRxiv · 0 citations · 2 references
Biology

TL;DR

These findings provide a comparative molecular-pathology framework for interpreting NOTCH3 variation beyond cysteine number alone and support a context-dependent model in which residue position, disulfide architecture, surrounding sequence, domain organization, aggregation propensity, and proteolytic regulation jointly influence the predicted structural and functional consequences of NOTCH3 variants.

Abstract

Background/Objectives NOTCH3 is a highly conserved transmembrane receptor whose pathogenic variants cause CADASIL, a hereditary cerebral small-vessel disease characterized by vascular smooth muscle cell degeneration and extracellular NOTCH3 accumulation. Most established CADASIL variants alter cysteine residues within the extracellular EGF-like repeats, but the influence of residue position, disulfide connectivity, surrounding sequence, and domain context on NOTCH3 structure and pathogenicity remains incompletely understood. We used comparative mammalian analysis to identify rare changes within conserved NOTCH3 regions and evaluate their potential relevance to disease-associated molecular mechanisms. Methods NOTCH3 protein sequences from 113 mammalian species were analysed using multiple-sequence alignment together with complementary structural modelling, intrinsic-disorder prediction, stability, aggregation-propensity, solvent-accessibility, and molecular-dynamics analyses. Results NOTCH3 showed exceptional overall conservation, including all 204 extracellular cysteine positions across nearly all species examined. Three rare sequence configurations were identified: seven cysteine substitutions and one cysteine deletion in jaguar EGFr13–15; an NRR deletion in Brandt’s bat predicted to increase S2 cleavage-site accessibility; and an exon 16-associated X1 deletion affecting EGFr20–22, previously reported in a human CADASIL pedigree and also found in selected mammals. Computational analyses predicted distinct structural consequences, including disruption of the canonical disulfide framework and increased intrinsic disorder across the affected jaguar EGFr13–15 region, increased S2 cleavage-site accessibility in Brandt’s bat, and a potential compensatory disulfide rearrangement with increased aggregation propensity in the X1 deletion isoform. Conclusions These findings provide a comparative molecular-pathology framework for interpreting NOTCH3 variation beyond cysteine number alone. They support a context-dependent model in which residue position, disulfide architecture, surrounding sequence, domain organization, aggregation propensity, and proteolytic regulation jointly influence the predicted structural and functional consequences of NOTCH3 variants. The identified variants provide naturally occurring, experimentally testable models for investigating NOTCH3 folding, aggregation, receptor activation, and CADASIL-associated pathogenicity.

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.