posted on 2021-11-09, 04:54authored byAidan Levine, Erika Liktor-Busa, Austin A. Lipinski, Sarah Couture, Shreya Balasubramanian, Sue A. Aicher, Paul R. Langlais, Todd W. Vanderah, Tally M. Largent-Milnes
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.
Funding
National Institute of Neurological Disorders and Stroke Arizona Biomedical Research Commission National Cancer Institute