Additional file 2 of Sex differences in the expression of the endocannabinoid system within V1M cortex and PAG of Sprague Dawley rats

Additional file 2: Table 1. Proteins more prevalent in female PAG. A total of 3396 proteins were more prevalent in female PAG. Of the 3396 proteins with female prevalence, 512 were present at statistically significantly higher levels than in males (highlighted in grey), representing 8.5% of all proteins detected. Table 2. Proteins more prevalent in male PAG. A total of 2449 proteins were more prevalent in male PAG. In males, 218 proteins were expressed at significantly higher levels as compared to female (3.6% of all proteins detected) (highlighted in grey). Table 3. List of proteins detected in PAG samples without sex-differences. 164 proteins showed no sex difference in expression. Table 4. Fold differences. 595 proteins showed a fold difference of 1.2 or greater with more than 75% being detected at higher levels in female PAG. Table 5. GO-MF Female analysis. Gene ontology (GO) enrichment analysis of the significantly affected proteins in female PAG using the bioinformatic database DAVID was performed for GO-Molecular Function (MF). The top 10 category is highlighted. Table 6. GO-BP female analysis. Gene ontology (GO) enrichment analysis of the significantly affected proteins in female PAG using the bioinformatic database DAVID was performed for GO-Biological Processes (BP). The top 10 category is highlighted. Table 7. GO-KEGG female analysis. Gene ontology (GO) enrichment analysis of the significantly affected proteins in female PAG using the bioinformatic database DAVID was performed for GO-KEGG pathways. The top 10 category is highlighted. Table 8. GO-MF male analysis. Gene ontology (GO) enrichment analysis of the significantly affected proteins in male PAG using the bioinformatic database DAVID was performed for GO-Molecular Function (MF). The top 10 category is highlighted. Table 9. GO-BP male analysis. Gene ontology (GO) enrichment analysis of the significantly affected proteins in male PAG using the bioinformatic database DAVID was performed for GO-Biological Processes (BP). The top 10 category is highlighted. Table 10. GO-KEGG male analysis. Gene ontology (GO) enrichment analysis of the significantly affected proteins in male PAG using the bioinformatic database DAVID was performed for GO-KEGG pathways. The top 10 category is highlighted.

附加文件2：表1. 在女性PAG中更为常见的蛋白质。共计3396种蛋白质在女性PAG中更为常见。在这3396种女性常见蛋白质中，有512种在统计上显著高于男性（以灰色突出显示），占所有检测到的蛋白质的8.5%。表2. 在男性PAG中更为常见的蛋白质。共计2449种蛋白质在男性PAG中更为常见。在男性中，有218种蛋白质的表达水平显著高于女性（占所有检测到的蛋白质的3.6%）（以灰色突出显示）。表3. PAG样本中无性别差异的蛋白质列表。164种蛋白质在表达上未显示性别差异。表4. 折叠差异。595种蛋白质显示出1.2或更大的倍数差异，其中超过75%在女性PAG中检测到较高水平。表5. GO-MF女性分析。利用生物信息学数据库DAVID对女性PAG中受显著影响的蛋白质进行基因本体（GO）富集分析，针对GO分子功能（MF）进行。前10个类别以高亮显示。表6. GO-BP女性分析。利用生物信息学数据库DAVID对女性PAG中受显著影响的蛋白质进行基因本体（GO）富集分析，针对GO生物过程（BP）进行。前10个类别以高亮显示。表7. GO-KEGG女性分析。利用生物信息学数据库DAVID对女性PAG中受显著影响的蛋白质进行基因本体（GO）富集分析，针对GO-KEGG通路进行。前10个类别以高亮显示。表8. GO-MF男性分析。利用生物信息学数据库DAVID对男性PAG中受显著影响的蛋白质进行基因本体（GO）富集分析，针对GO分子功能（MF）进行。前10个类别以高亮显示。表9. GO-BP男性分析。利用生物信息学数据库DAVID对男性PAG中受显著影响的蛋白质进行基因本体（GO）富集分析，针对GO生物过程（BP）进行。前10个类别以高亮显示。表10. GO-KEGG男性分析。利用生物信息学数据库DAVID对男性PAG中受显著影响的蛋白质进行基因本体（GO）富集分析，针对GO-KEGG通路进行。前10个类别以高亮显示。