Proteomic and Bioinformatic Tools to Identify Potential Hub Proteins in the Audiogenic Seizure-Prone Hamster GASH/Sal.
Carlos García-PeralMartín M LedesmaM Javier Herrero-TurriónRicardo Gómez-NietoOrlando CastellanoDolores E LópezPublished in: Diagnostics (Basel, Switzerland) (2023)
The GASH/Sal (Genetic Audiogenic Seizure Hamster, Salamanca) is a model of audiogenic seizures with the epileptogenic focus localized in the inferior colliculus (IC). The sound-induced seizures exhibit a short latency (7-9 s), which implies innate protein disturbances in the IC as a basis for seizure susceptibility and generation. Here, we aim to study the protein profile in the GASH/Sal IC in comparison to controls. Protein samples from the IC were processed for enzymatic digestion and then analyzed by mass spectrometry in Data-Independent Acquisition mode. After identifying the proteins using the UniProt database, we selected those with differential expression and performed ontological analyses, as well as gene-protein interaction studies using bioinformatics tools. We identified 5254 proteins; among them, 184 were differentially expressed proteins (DEPs), with 126 upregulated and 58 downregulated proteins, and 10 of the DEPs directly related to epilepsy. Moreover, 12 and 7 proteins were uniquely found in the GASH/Sal or the control. The results indicated a protein profile alteration in the epileptogenic nucleus that might underlie the inborn occurring audiogenic seizures in the GASH/Sal model. In summary, this study supports the use of bioinformatics methods in proteomics to delve into the relationship between molecular-level protein mechanisms and the pathobiology of rodent models of audiogenic seizures.
Keyphrases
- mass spectrometry
- protein protein
- amino acid
- emergency department
- oxidative stress
- temporal lobe epilepsy
- immune response
- gene expression
- genome wide
- risk assessment
- data analysis
- climate change
- small molecule
- hydrogen peroxide
- machine learning
- liquid chromatography
- ms ms
- big data
- high performance liquid chromatography
- endothelial cells
- transcription factor
- tandem mass spectrometry
- human health