Dataset Information

Chemical Sensors Detect and Resolve Proteome Aggregation in Peripheral Neuropathy induced by Chemotherapeutic Agents

ABSTRACT: Neuropathic pain, a consequence of somatosensory nervous system injury or disease, is commonly associated with cancer and its treatments, including chemotherapy-induced peripheral neuropathy (CIPN). However, the mechanisms underlying CIPN-induced proteome aggregation remain elusive due to limited detection tools. Here, we present a combined approach employing fluorescence imaging and proteomic sensors to comprehensively study proteome aggregation in neuronal cells subjected to CIPN. The AggStain imaging probe sensitively detected proteome aggregation, while the AggLink proteomic sensor captured and profiled aggregated proteins. This integrative sensor system offers novel insights into proteome aggregation dynamics in CIPN and highlights its potential for broader applications in assessing proteome stability under various conditions.

ORGANISM(S): Mus Musculus

SUBMITTER: Zhiming Wang

PROVIDER: PXD045972 | iProX | Mon Oct 09 00:00:00 BST 2023

REPOSITORIES: iProX

ACCESS DATA

Similar Datasets

Project description:Auer2010 - Correlation between lag time and aggregation rate in protein aggregation This model is described in the article: Insight into the correlation between lag time and aggregation rate in the kinetics of protein aggregation. Auer S, Kashchiev D. Proteins 2010 Aug; 78(11): 2412-2416 Abstract: Under favorable conditions, many proteins can assemble into macroscopically large aggregates such as the amyloid fibrils that are associated with Alzheimer's, Parkinson's, and other neurological and systemic diseases. The overall process of protein aggregation is characterized by initial lag time during which no detectable aggregation occurs in the solution and by maximal aggregation rate at which the dissolved protein converts into aggregates. In this study, the correlation between the lag time and the maximal rate of protein aggregation is analyzed. It is found that the product of these two quantities depends on a single numerical parameter, the kinetic index of the curve quantifying the time evolution of the fraction of protein aggregated. As this index depends relatively little on the conditions and/or system studied, our finding provides insight into why for many experiments the values of the product of the lag time and the maximal aggregation rate are often equal or quite close to each other. It is shown how the kinetic index is related to a basic kinetic parameter of a recently proposed theory of protein aggregation. This model is hosted on BioModels Database and identified by: BIOMD0000000555. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Chemical Sensors Detect and Resolve Proteome Aggregation in Peripheral Neuropathy induced by Chemotherapeutic Agents

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets