DocumentCode
3239239
Title
Deciphering chemically-induced reversible neurotoxicity by reconstructing perturbed pathways from time series microarray gene expression data
Author
Yi Yang ; Si Li ; Maxwell, Andrew S. ; Barker, Natalie D. ; Yan Peng ; Ying Li ; Haoni Li ; Xi Wu ; Peng Li ; Tao Huang ; Chenhua Zhang ; Nan Wang ; Perkins, Edward J. ; Chaoyang Zhang ; Ping Gong
Author_Institution
Sch. of Comput., Univ. of Southern Mississippi, Hattiesburg, MS, USA
fYear
2013
fDate
17-19 Nov. 2013
Firstpage
45
Lastpage
48
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.
Keywords
bioinformatics; data analysis; molecular biophysics; reverse engineering; time series; GABAergic synapse pathways; RDX; bioinformatics-guided reverse engineering approach; carbaryl; chemically-induced reversible neurotoxicity deciphering; cholinergic synapse pathways; earthworms; molecular mechanism; neuronal activity; perturbed pathway reconstruction; seizures; time series microarray gene expression data analysis; Arrays; Bioinformatics; Chemicals; Gene expression; Grippers; RNA; Time series analysis; KEGG pathway; differential gene interaction network; earthworm; reversible neurotoxicity; time course gene expression dataset;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on
Conference_Location
Houston, TX
Print_ISBN
978-1-4799-3461-4
Type
conf
DOI
10.1109/GENSIPS.2013.6735927
Filename
6735927
Link To Document