| Accession | 
            PMDE70 | 
        
        
            | Name | 
            Identifying Compartment-specific Alloimmune Targets After Renal Transplantation by integrated genomics  | 
        
        
            | Description | 
            The renal medulla is of low immunogenicity as none of the outer or inner medulla specific targets generated significant post-transplant antibody responses. Immunohistochemistry confirmed pelvis and cortex specific localizations of selected targeted antigens, supporting the robust nature of this discovery. This study provides a road map of renal compartment-specific non-HLA antigenic targets responsible for generating alloimmune responses, opening the door for clinical correlations with post-transplant dysfunctional states to be determined. | 
        
        
            | Publication | 
            
                                    Identifying Compartment-specific Alloimmune Targets After Renal Transplantation by integrated genomics 																		
							(Go to PubMed)
							
											                             | 
        
        
            | Provider | 
             Li Li | 
        
		
            | Species | 
            Homo sapiens | 
        
		
            | Subspecies | 
                                Empty
                             | 
        
        
			| Array type | 
			Proteome array | 
		
			| Sample | 
			Serum | 
		
		
            | Number of array | 
            
                36             | 
        
        
            | Array(1) | 
            
                                    
                        ProtoArray Human Protein Microarray v3.0                    
                             | 
        
        
            | Raw data | 
			                			
            
                    download
                 | 
				        
        
            | Experiment details | 
            
                    download
                 | 
        
		
			| Analysis report | 
							
					No relevant analysis report. If you want to analyse this data, please contact us. | 
				
					
		
            | Link to GEO | 
            
                								                     
                        GSE10452
                     
				                             |