Bioinformatics analysis of leptin regulating gallbladder contraction and secretion in mice / 国际外科学杂志

Objective@#To identify the key pathogenic genes of leptin regulating gallbladder contraction and secretion in mice and to reveal the potential molecular mechanism by comprehensive bioinformatics.@*Methods@#The expression profile of GSE3293 was downloaded from Gene Expression Omnibus (GEO) database. The data contained 8 samples, including 4 leptin-treated gallbladder samples and 4 saline-treated gallbladder samples. The most valuable 250 differentially expressed genes (DEGs) were obtained by grouping analysis of GEO online GEO 2 R-TOP 250 software or tools, and further analyzed by bioinformatics. The GO function and KEGG pathway enrichment of DEGs were analyzed by DAVID online software. The protein-protein interaction (PPI) network of DEGs was constructed from STRING database.@*Results@#A total of 250 differentially expressed genes were identified from the GSE3293 dataset, of which 197 genes were up-regulated and 53 genes were down-regulated. GO analysis showed that the biological functions of DEGs were mainly concentrated on MHC class II protein complexes, plasma membrane, extracellular exosome. KEGG pathway analysis showed that these DEGs were mainly involved in tuberculosis, leishmaniasis, cell adhesion molecules, bacteriophages, infection and other signaling pathways. PPI network showed that these DEGs coded proteins interacted strongly, and the first five pairs of DEGs with the strongest correlation were screened out.@*Conclusions@#The molecular mechanism of cholelithiasis is predicted from gene level by bioinformatics analysis of function enrichment and PPI of DEGs in mouse gallbladder. However, the function of DEGs still needs a lot of clinical and molecular biological experiments to confirm.

Bioinformatics analysis of leptin regulating gallbladder contraction and secretion in mice / 国际外科学杂志

Objective To identify the key pathogenic genes of leptin regulating gallbladder contraction and secretion in mice and to reveal the potential molecular mechanism by comprehensive bioinformatics.Methods The expression profile of GSE3293 was downloaded from Gene Expression Omnibus (GEO) database.The data contained 8 samples,including 4 leptin-treated gallbladder samples and 4 saline-treated gallbladder samples.The most valuable 250 differentially expressed genes (DEGs) were obtained by grouping analysis of GEO online GEO 2 R-TOP 250 software or tools,and further analyzed by bioinformatics.The GO function and KEGG pathway enrichment of DEGs were analyzed by DAVID online software.The protein-protein interaction (PPI) network of DEGs was constructed from STRING database.Results A total of 250 differentially expressed genes were identified from the GSE3293 dataset,of which 197 genes were up-regulated and 53 genes were down-regulated.GO analysis showed that the biological functions of DEGs were mainly concentrated on MHC class Ⅱ protein complexes,plasma membrane,extracellular exosome.KEGG pathway analysis showed that these DEGs were mainly involved in tuberculosis,leishmaniasis,cell adhesion molecules,bacteriophages,infection and other signaling pathways.PPI network showed that these DEGs coded proteins interacted strongly,and the first five pairs of DEGs with the strongest correlation were screened out.Conclusions The molecular mechanism of cholelithiasis is predicted from gene level by bioinformatics analysis of function enrichment and PPI of DEGs in mouse gallbladder.However,the function of DEGs still needs a lot of clinical and molecular biological experiments to confirm.