Research article
Genomic and biochemical approaches in the discovery of mechanisms for selective neuronal vulnerability to oxidative stress
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* Corresponding author: Xinkun Wang xwang@ku.edu
1 Higuchi Biosciences Center, 2099 Constant Ave., University of Kansas, Lawrence, KS 66047, USA
2 Department of Pharmacology and Toxicology, 1251 Wescoe Dr., University of Kansas, Lawrence, KS 66045, USA
3 Current address: Department of Biochemistry, 1750 Independence Ave., Kansas City University of Medicine and Biosciences, Kansas City, MO 64106, USA
4 Bioinformatics and Computational Life Sciences Laboratory, Department of Electrical Engineering and Computer Science, 2335 Irving Hill Rd., University of Kansas, Lawrence, KS 66045, USA
5 Current address: Stowers Institute for Medical Research, 1000 E 50th St., Kansas City, MO 64110, USA
6 Current address: Daiichi Sankyo Inc., Two Hilton Court, Parsippany, NJ 07054, USA
BMC Neuroscience 2009, 10:12 doi:10.1186/1471-2202-10-12
Published: 19 February 2009Additional files
Additional file 1:
List of currently known genes showing significantly differential expression pattern between the resistant and vulnerable groups. Included in the list are currently known genes that showed ﹥=2 fold difference and paired t-test P = 0.05 between the resistant (RES) and vulnerable (VUL) groups. Uncharacterized genes (ESTs) are not included in this table.
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Additional file 2:
Network of genes related to cell energy production. The genes highlighted in green were expressed more highly in RES as compared with VUL neurons (RES/VUL ratio shown beside each gene), whereas those not highlighted did not show differential expression levels between RES and VUL neurons. The network shown was constructed using IPA from Ingenuity. Solid lines represent direct interactions, while the broken lines indicate indirect relationships.
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