biostudies-literatureAlaiya AKing Abdullah International Medical Research Center6787https://www.ebi.ac.uk/biostudies/studies/S-EPMC11204259biostudies-literatureUnknown25(12)Heat stroke, a hazardous hyperthermia-related illness, is characterized by CNS injury, particularly long-lasting brain damage. A root cause for hyperthermic neurological damage is heat-induced proteotoxic stress through protein aggregation, a known causative agent of neurological disorders. Stress magnitude and enduring persistence are highly correlated with hyperthermia-associated neurological damage. We used an untargeted proteomic approach using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify and characterize time-series proteome-wide changes in dose-responsive proteotoxic stress models in medulloblastoma [Daoy], neuroblastoma [SH-SY5Y], and differentiated SH-SY5Y neuron-like cells [SH(D)]. An integrated analysis of condition-time datasets identified global proteomInternational journal of molecular sciencesProteomics Analysis of Proteotoxic Stress Response in In-Vitro Human Neuronal Models.PMC11204259RC16/196Albinhassan THBouchama AMohammad SShinwari ZRashid MAlwesmi MBMalik SSAlharbi BMAlaiya AfalseProteomics Analysis of Proteotoxic Stress Response in In-Vitro Human Neuronal Models.Heat stroke, a hazardous hyperthermia-related illness, is characterized by CNS injury, particularly long-lasting brain damage. A root cause for hyperthermic neurological damage is heat-induced proteotoxic stress through protein aggregation, a known causative agent of neurological disorders. Stress magnitude and enduring persistence are highly correlated with hyperthermia-associated neurological damage. We used an untargeted proteomic approach using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify and characterize time-series proteome-wide changes in dose-responsive proteotoxic stress models in medulloblastoma [Daoy], neuroblastoma [SH-SY5Y], and differentiated SH-SY5Y neuron-like cells [SH(D)]. An integrated analysis of condition-time datasets identified global proteom2024-01-01T00:00:00Z2024 Jun2026-04-07T22:56:10.432Z2026-04-07T18:48:11.008ZS-EPMC112042593892849210.3390/ijms25126787