Deciphering Chemically-Induced Reversible Neurotoxicity by Reconstructing Perturbed Pathways From Time Series Microarray Gene Expression Data
Computing Sciences and Computer Engineering
The etiology of chemically-induced neurotoxicity like seizures is poorly understood. Using reversible neurotoxicity induced by two neurotoxicants as example, we demonstrate that a bioinformatics-guided reverse engineering approach can be applied to analyze time series microarray gene expression data and uncover the underlying molecular mechanism. Our results reinforce previous findings that cholinergic and GABAergic synapse pathways are the target of carbaryl and RDX, respectively. We also conclude that perturbations to these pathways by sublethal concentrations of RDX and carbaryl were temporary, and earthworms were capable of fully recovering at the end of the 7-day recovery phase. In addition, our study indicates that many pathways other than those related to synaptic and neuronal activities were altered during the 6-day exposure phase. © 2013 IEEE.
Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
(2013). Deciphering Chemically-Induced Reversible Neurotoxicity by Reconstructing Perturbed Pathways From Time Series Microarray Gene Expression Data. Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics, 45-48.
Available at: https://aquila.usm.edu/fac_pubs/17934