Publications associées à The role of the polyglutamine and N-terminal domains in regulating the aggregation and structural properties of Huntingtin Exon 1

Method of preparation of amyloidogenic protein aggregates and uses thereof

The invention relates to methods for the preparation of method of preparation of Tau aggregates, including fibrils, fibrillar species, soluble and insoluble oligomeric species, new Tau aggregates and uses thereof. The invention further relates to the uses ...

2024

Investigating the intra-molecular and inter-molecular effects of post-translational modifications on intrinsically disordered protein regions and structured protein regions

Zhidian Zhang

Post-translational modifications (PTMs) play a pivotal role in regulating protein structure, interaction, and function. Aberrant PTM patterns are associated with diseases. Moreover, individual PTMs have a complex interaction with each other, known as PTM c ...

EPFL2024

Opportunities and challenges in design and optimization of protein function

Bruno Emanuel Ferreira De Sousa Correia, Casper Alexander Goverde

The field of protein design has made remarkable progress over the past decade. Historically, the low reliability of purely structure-based design methods limited their application, but recent strategies that combine structure-based and sequence-based calcu ...

Nature Portfolio2024

Targeting TDP-43 Proteinopathies in Neurodegeneration by its Native-State Stabilization

Lixin Yang

Preventing the misfolding or aggregation of TDP-43 is the most actively pursued disease-modifying strategy to treat amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases. In our work, we provide proof of concept that native state stabili ...

EPFL2024

Recombinant Full-Length TDP-43 Oligomers Retain Their Ability to Bind RNAs, Are Not Toxic, and Do Not Seed TDP-43 Aggregation in Vitro

Hilal Lashuel, Yllza Jasiqi, Lixin Yang

TAR DNA-binding protein with 43 kD (TDP-43) is a partially disordered protein that misfolds and accumulates in the brains of patients affected by several neurodegenerative diseases. TDP-43 oligomers have been reported to form due to aberrant misfolding or ...

Amer Chemical Soc2023

Deconstructing and Reconstructing the Complexity of Tau pathology

Galina Limorenko

This thesis consists of four Chapters unified by a singular theme â how do we develop disease models that faithfully reproduce the pathology seen in patients suffering from neurodegenerative disorders associated with the Tau protein, such as Alzheimerâ ...

EPFL2023

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Silvestro Micera, Sara Mazzucato

Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

IEEE2023

Striatal Dopamine Signals and Reward Learning

Carl Petersen, Sylvain Crochet, Parviz Ghaderi, Mauro Pulin, Anthony Pierre Robert Renard, Christos Sourmpis, Pol Bech Vilaseca, Meriam Malekzadeh, Robin François Virginien Dard, Yanqi Liu

We are constantly bombarded by sensory information and constantly making decisions on how to act. In order to optimally adapt behavior, we must judge which sequences of sensory inputs and actions lead to successful outcomes in specific circumstances. Neuro ...

Oxford Univ Press2023

Longitudinal evaluation of the mechanisms supporting post-stroke motor recovery using TMS-EEG coupling

Andéol Geoffroy Cadic-Melchior

Stroke is the main source of long-lasting disability, affecting dominantly motor functions. The extent and course of recovery are highly heterogeneous between patients, with a minority of patients fully recovering from their initial impairments, leaving 85 ...

EPFL2023

Generative power of a protein language model trained on multiple sequence alignments

Anne-Florence Raphaëlle Bitbol, Umberto Lupo, Damiano Sgarbossa

Computational models starting from large ensembles of evolutionarily related protein sequences capture a representation of protein families and learn constraints associated to protein structure and function. They thus open the possibility for generating no ...

eLIFE SCIENCES PUBL LTD2023