转录组                        
                
                                
                        
                            编码                        
                
                                
                        
                            蛋白质组                        
                
                                
                        
                            人类蛋白质                        
                
                                
                        
                            基因                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            核糖核酸                        
                
                                
                        
                            生物                        
                
                                
                        
                            蛋白质组学                        
                
                                
                        
                            图谱                        
                
                                
                        
                            基因表达                        
                
                                
                        
                            人类蛋白质组计划                        
                
                                
                        
                            蛋白质表达                        
                
                                
                        
                            生物信息学                        
                
                                
                        
                            遗传学                        
                
                        
                    
            作者
            
                Lihua Jiang,Meng Wang,Shin Lin,Ruiqi Jian,Xiao Li,Joanne Chan,Huaying Fang,Guanlan Dong,Hua Tang,M Snyder            
         
            
    
            
        
                
            摘要
            
            Abstract Determining protein levels in each tissue and how they compare with RNA levels is important for understanding human biology and disease as well as regulatory processes that control protein levels. We quantified the relative protein levels from 12,627 genes across 32 normal human tissue types prepared by the GTEx project. Known and new tissue specific or enriched proteins (5,499) were identified and compared to transcriptome data. Many ubiquitous transcripts are found to encode highly tissue specific proteins. Discordance in the sites of RNA expression and protein detection also revealed potential sites of synthesis and action of protein signaling molecules. Overall, these results provide an extraordinary resource, and demonstrate that understanding protein levels can provide insights into metabolism, regulation, secretome, and human diseases. Summary Quantitative proteome study of 32 human tissues and integrated analysis with transcriptome data revealed that understanding protein levels could provide in-depth knowledge to post transcriptional or translational regulations, human metabolism, secretome, and diseases.
         
            
 
                 
                
                    
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