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																		 Connection
 
																		 John Arthur to Proteomics  
																		
																	 
																		This is a "connection" page, showing publications John Arthur has written about Proteomics.   
																		
																	 
																			
																					
	
						
				
		
			
			
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					|  | Connection Strength |  |  
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					|  | 3.611 |  |  |  |  
		
		
			
				Zybailov BL, Glazko GV, Rahmatallah Y, Andreyev DS, McElroy T, Karaduta O, Byrum SD, Orr L, Tackett AJ, Mackintosh SG, Edmondson RD, Kieffer DA, Martin RJ, Adams SH, Vaziri ND, Arthur JM. Metaproteomics reveals potential mechanisms by which dietary resistant starch supplementation attenuates chronic kidney disease progression in rats. PLoS One. 2019; 14(1):e0199274.	
				
				
					Score: 0.505
				
				Arthur JM, Karakala N, Edmondson RD. Proteomic Analysis for Identification of Biomarkers that Predict Severe Acute Kidney Injury. Nephron. 2018; 140(2):129-133.	
				
				
					Score: 0.486
				
				Arthur JM, Klein JB. Proteomics in CKD. Adv Chronic Kidney Dis. 2010 Nov; 17(6):453-4.	
				
				
					Score: 0.285
				
				Arthur JM, Janech MG, Varghese SA, Almeida JS, Powell TB. Diagnostic and prognostic biomarkers in acute renal failure. Contrib Nephrol. 2008; 160:53-64.	
				
				
					Score: 0.234
				
				Janech MG, Raymond JR, Arthur JM. Proteomics in renal research. Am J Physiol Renal Physiol. 2007 Feb; 292(2):F501-12.	
				
				
					Score: 0.217
				
				Bland AM, D'Eugenio LR, Dugan MA, Janech MG, Almeida JS, Zile MR, Arthur JM. Comparison of variability associated with sample preparation in two-dimensional gel electrophoresis of cardiac tissue. J Biomol Tech. 2006 Jul; 17(3):195-9.	
				
				
					Score: 0.211
				
				Almeida JS, Stanislaus R, Krug E, Arthur JM. Normalization and analysis of residual variation in two-dimensional gel electrophoresis for quantitative differential proteomics. Proteomics. 2005 Apr; 5(5):1242-9.	
				
				
					Score: 0.194
				
				Lefler DM, Pafford RG, Black NA, Raymond JR, Arthur JM. Identification of proteins in slow continuous ultrafiltrate by reversed-phase chromatography and proteomics. J Proteome Res. 2004 Nov-Dec; 3(6):1254-60.	
				
				
					Score: 0.188
				
				Arthur JM. Proteomics. Curr Opin Nephrol Hypertens. 2003 Jul; 12(4):423-30.	
				
				
					Score: 0.171
				
				Thongboonkerd V, Klein JB, Pierce WM, Jevans AW, Arthur JM. Sodium loading changes urinary protein excretion: a proteomic analysis. Am J Physiol Renal Physiol. 2003 Jun; 284(6):F1155-63.	
				
				
					Score: 0.167
				
				Thongboonkerd V, Klein JB, Arthur JM. Proteomic identification of a large complement of rat urinary proteins. Nephron Exp Nephrol. 2003; 95(2):e69-78.	
				
				
					Score: 0.166
				
				Arthur JM, Thongboonkerd V, Scherzer JA, Cai J, Pierce WM, Klein JB. Differential expression of proteins in renal cortex and medulla: a proteomic approach. Kidney Int. 2002 Oct; 62(4):1314-21.	
				
				
					Score: 0.163
				
				Neely BA, Soper JL, Gulland FM, Bell PD, Kindy M, Arthur JM, Janech MG. Proteomic analysis of cerebrospinal fluid in California sea lions (Zalophus californianus) with domoic acid toxicosis identifies proteins associated with neurodegeneration. Proteomics. 2015 Dec; 15(23-24):4051-63.	
				
				
					Score: 0.100
				
				Neely BA, Ferrante JA, Chaves JM, Soper JL, Almeida JS, Arthur JM, Gulland FM, Janech MG. Proteomic Analysis of Plasma from California Sea Lions (Zalophus californianus) Reveals Apolipoprotein E as a Candidate Biomarker of Chronic Domoic Acid Toxicosis. PLoS One. 2014; 10(4):e0123295.	
				
				
					Score: 0.097
				
				An N, Janech MG, Bland AM, Lazarchick J, Arthur JM, Kang Y. Proteomic analysis of murine bone marrow niche microenvironment identifies thioredoxin as a novel agent for radioprotection and for enhancing donor cell reconstitution. Exp Hematol. 2013 Nov; 41(11):944-56.	
				
				
					Score: 0.087
				
				Varghese SA, Powell TB, Janech MG, Budisavljevic MN, Stanislaus RC, Almeida JS, Arthur JM. Identification of diagnostic urinary biomarkers for acute kidney injury. J Investig Med. 2010 Apr; 58(4):612-20.	
				
				
					Score: 0.068
				
				Van Nostrand JD, Arthur JM, Kilpatrick LE, Neely BA, Bertsch PM, Morris PJ. Changes in protein expression in Burkholderia vietnamiensis PR1 301 at pH 5 and 7 with and without nickel. Microbiology (Reading). 2008 Dec; 154(Pt 12):3813-3824.	
				
				
					Score: 0.062
				
				Stanislaus R, Arthur JM, Rajagopalan B, Moerschell R, McGlothlen B, Almeida JS. An open-source representation for 2-DE-centric proteomics and support infrastructure for data storage and analysis. BMC Bioinformatics. 2008 Jan 07; 9:4.	
				
				
					Score: 0.059
				
				Sharma A, Jun SR, Bhattarai D, Panday S, Venugopal G, Panawan O, Washam C, Mackintosh S, Byrum S, Udaondo Z, Arthur JM, MacMillan-Crow LA, Parajuli N. Cold Storage Disrupts the Proteome and Phosphoproteome Landscape in Rat Kidney Transplants. Transplantation. 2025 05 01; 109(5):806-822.	
				
				
					Score: 0.049
				
				Thongboonkerd V, McLeish KR, Arthur JM, Klein JB. Proteomic analysis of normal human urinary proteins isolated by acetone precipitation or ultracentrifugation. Kidney Int. 2002 Oct; 62(4):1461-9.	
				
				
					Score: 0.041
				
				Bhensdadia NM, Hunt KJ, Lopes-Virella MF, Michael Tucker J, Mataria MR, Alge JL, Neely BA, Janech MG, Arthur JM. Urine haptoglobin levels predict early renal functional decline in patients with type 2 diabetes. Kidney Int. 2013 Jun; 83(6):1136-43.	
				
				
					Score: 0.021
				
				Sas KM, Janech MG, Favre E, Arthur JM, Bell PD. Cilia movement regulates expression of the Raf-1 kinase inhibitor protein. Am J Physiol Renal Physiol. 2011 May; 300(5):F1163-70.	
				
				
					Score: 0.018
				
				Stanislaus R, Chen C, Franklin J, Arthur J, Almeida JS. AGML Central: web based gel proteomic infrastructure. Bioinformatics. 2005 May 01; 21(9):1754-7.	
				
				
					Score: 0.012
				
				Stanislaus R, Jiang LH, Swartz M, Arthur J, Almeida JS. An XML standard for the dissemination of annotated 2D gel electrophoresis data complemented with mass spectrometry results. BMC Bioinformatics. 2004 Jan 29; 5:9.	
				
				
					Score: 0.011
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																					              Connection Strength             
  The connection strength for concepts is the sum of the scores for each matching publication.
 Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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