Background Alcoholism is a complex disorder determined by interactions between genetic

Background Alcoholism is a complex disorder determined by interactions between genetic and environmental risk factors. the final manuscript. Additional data files The following additional data are available with the online version of this paper. Additional data file 1 contains a list of probe units differentially expressed between selection lines at q < 0.001. Additional data file 2 contains a list of probe units with significant differences in contrast statements at p < 0.05. Additional data file 3 contains a list of 121 probe units with Nutlin 3a larger than two-fold differences in transcript large quantity between selection lines. Additional data file 4 contains biological processes GO categories of genes in Additional data file 3. Additional data file 5 contains biological processes GO categories of genes in Additional data file 2. Additional data file 6 contains molecular function GO categories of genes in Additional data file 2. Additional data file 7 contains a list of common probe units of differentially expressed genes from three artificially selected populations. Additional data file 8 contains biological processes GO categories of genes in Additional data file 7. Additional data file 9 contains a list of common probe units differentially expressed in response to exposure to ethanol in two experiments (artificial selection for alcohol sensitivity/resistant and tolerance development). Additional data file 10 contains a list of genes previously implicated in alcohol sensitivity in Drosophila melanogaster. Additional data file 11 contains a list of Drosophila probe units of genes with human orthologues differentially expressed in alcoholics’ brain regions. Additional data file 12 contains a list of Drosophila probe units of genes that are differentially expressed in response to artificial selection and have murine orthologues associated with alcohol related phenotypes. Supplementary Material Additional data file 1: Probe units differentially expressed between selection lines at q < 0.001. Click here for file(1.0M, xls) Additional data file 2: Probe units with significant differences in contrast statements at p < 0.05. Click here for file(874K, xls) Additional data file 3: The 121 probe units with larger than two-fold differences in transcript large quantity between selection lines. Click here for file(115K, xls) Additional data file 4: Biological processes GO categories of genes in Additional data file 3. Click here for file(209K, xls) Additional data file 5: Biological processes GO Nutlin 3a categories of genes in Additional data file 2. Click here for file(2.6M, xls) Additional data file 6: Molecular function GO categories of genes in Additional data file 2. Nutlin 3a Click here for file(1.3M, xls) Additional data file 7: Common probe units of differentially expressed genes from three artificially selected populations. Click here for file(90K, xls) Additional data file 8: Biological processes GO categories of genes in Additional data file 7. Click here for file(63K, xls) Additional data file 9: Common probe units differentially expressed in response to exposure to ethanol in two experiments (artificial selection for alcohol sensitivity/resistant and tolerance development). Click here for file(69K, xls) Additional data file 10: Genes previously implicated in alcohol sensitivity in Drosophila melanogaster. Click here for Rabbit polyclonal to EGR1 file(275K, doc) Additional data file 11: Drosophila probe units of genes with human orthologues differentially expressed in alcoholics’ brain regions. Click here for file(26K, xls) Additional data file 12: Drosophila probe units of genes that are differentially expressed in response to artificial selection and have murine orthologues associated with alcohol related phenotypes. Click here for file(130K, xls) Acknowledgements We thank Jennifer Foss and Paul Gilligan for technical assistance, TJ Morgan for guidance with data analysis, and MJ Zanis for his Perl programming skills. This work was supported by grants from your National Institutes of Health (to RRHA and TFCM). This is a publication of the WM Keck Center for Behavioral Biology..