Deciphering Chemically-Induced Reversible Neurotoxicity by Reconstructing Perturbed Pathways From Time Series Microarray Gene Expression Data

Authors

Yi Yang, University of Southern Mississippi, School of ComputingFollow
Si Li, University of Southern Mississippi, School of Computing
Andrew S. Maxwell, University of Southern Mississippi, School of Computing
Natalie D. Barker, Badger Technical Services
Yan Peng, University of Southern Mississippi, School of Computing
Ying Li, University of Southern Mississippi, School of Computing
Haoni Li, University of Southern Mississippi, School of Computing
Xi Wu, University of Southern Mississippi, School of Computing
Peng Li, University of Southern Mississippi, School of Computing
Tao Huang, University of Southern Mississippi, School of Computing
Chenhua Zheng, University of Southern Mississippi
Nan Wang, University of Southern Mississippi, School of ComputingFollow
Edward J. Perkins, Environmental LaboratoryFollow
Chaoyang Zhang, University of Southern Mississippi, School of ComputingFollow
Ping Gong, Badger Technical ServicesFollow

Document Type

Conference Proceeding

Publication Date

12-1-2013

School

Computing Sciences and Computer Engineering

Abstract

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.

Publication Title

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics

First Page

45

Last Page

48

Recommended Citation

Yang, Y., Li, S., Maxwell, A., Barker, N., Peng, Y., Li, Y., Li, H., Wu, X., Li, P., Huang, T., Zheng, C., Wang, N., Perkins, E., Zhang, C., Gong, P. (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