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																		 Connection
 
																		 Lu Huang to Mycobacterium tuberculosis  
																		
																	 
																		This is a "connection" page, showing publications Lu Huang has written about Mycobacterium tuberculosis.   
																		
																	 
																			
																					
	
						
				
		
			
			
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					|  | Connection Strength |  |  
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					|  | 4.469 |  |  |  |  
		
		
			
				Andrews JT, Zhang Z, Prasad GVRK, Huey F, Nazarova EV, Wang J, Ranaraja A, Weinkopff T, Li LX, Mu S, Birrer MJ, Huang SC, Zhang N, Arg?ello RJ, Philips JA, Mattila JT, Huang L. Metabolically active neutrophils represent a permissive niche for Mycobacterium tuberculosis. Mucosal Immunol. 2024 Oct; 17(5):825-842.	
				
				
					Score: 0.773
				
				Huang L, Ye K, McGee MC, Nidetz NF, Elmore JP, Limper CB, Southard TL, Russell DG, August A, Huang W. Interleukin-2-Inducible T-Cell Kinase Deficiency Impairs Early Pulmonary Protection Against Mycobacterium tuberculosis Infection. Front Immunol. 2019; 10:3103.	
				
				
					Score: 0.571
				
				Huang L, Nazarova EV, Russell DG. Mycobacterium tuberculosis: Bacterial Fitness within the Host Macrophage. Microbiol Spectr. 2019 03; 7(2).	
				
				
					Score: 0.537
				
				Huang L, Kushner NL, Theriault ME, Pisu D, Tan S, McNamara CW, Petrassi HM, Russell DG, Brown AC. The Deconstructed Granuloma: A Complex High-Throughput Drug Screening Platform for the Discovery of Host-Directed Therapeutics Against Tuberculosis. Front Cell Infect Microbiol. 2018; 8:275.	
				
				
					Score: 0.517
				
				Huang L, Nazarova EV, Tan S, Liu Y, Russell DG. Growth of Mycobacterium tuberculosis in vivo segregates with host macrophage metabolism and ontogeny. J Exp Med. 2018 04 02; 215(4):1135-1152.	
				
				
					Score: 0.501
				
				Huang L, Russell DG. Protective immunity against tuberculosis: what does it look like and how do we find it? Curr Opin Immunol. 2017 Oct; 48:44-50.	
				
				
					Score: 0.483
				
				Pisu D, Huang L, Narang V, Theriault M, L?-Bury G, Lee B, Lakudzala AE, Mzinza DT, Mhango DV, Mitini-Nkhoma SC, Jambo KC, Singhal A, Mwandumba HC, Russell DG. Single cell analysis of M. tuberculosis phenotype and macrophage lineages in the infected lung. J Exp Med. 2021 09 06; 218(9).	
				
				
					Score: 0.158
				
				Giacalone D, Huang L, Tan S. Exploiting Fluorescent Proteins to Understand Mycobacterium tuberculosis Biology. Methods Mol Biol. 2021; 2314:365-383.	
				
				
					Score: 0.152
				
				Pisu D, Huang L, Rin Lee BN, Grenier JK, Russell DG. Dual RNA-Sequencing of Mycobacterium tuberculosis-Infected Cells from a Murine Infection Model. STAR Protoc. 2020 12 18; 1(3):100123.	
				
				
					Score: 0.150
				
				Pisu D, Huang L, Grenier JK, Russell DG. Dual RNA-Seq of Mtb-Infected Macrophages In?Vivo Reveals Ontologically Distinct Host-Pathogen Interactions. Cell Rep. 2020 01 14; 30(2):335-350.e4.	
				
				
					Score: 0.143
				
				Nazarova EV, Montague CR, Huang L, La T, Russell D, VanderVen BC. The genetic requirements of fatty acid import by Mycobacterium tuberculosis within macrophages. Elife. 2019 02 08; 8.	
				
				
					Score: 0.134
				
				Xu Y, Wang L, Zimmerman MD, Chen KY, Huang L, Fu DJ, Kaya F, Rakhilin N, Nazarova EV, Bu P, Dartois V, Russell DG, Shen X. Matrix metalloproteinase inhibitors enhance the efficacy of frontline drugs against Mycobacterium tuberculosis. PLoS Pathog. 2018 04; 14(4):e1006974.	
				
				
					Score: 0.127
				
				VanderVen BC, Huang L, Rohde KH, Russell DG. The Minimal Unit of Infection: Mycobacterium tuberculosis in the Macrophage. Microbiol Spectr. 2016 12; 4(6).	
				
				
					Score: 0.115
				
				Liu Y, Tan S, Huang L, Abramovitch RB, Rohde KH, Zimmerman MD, Chen C, Dartois V, VanderVen BC, Russell DG. Immune activation of the host cell induces drug tolerance in Mycobacterium tuberculosis both in vitro and in vivo. J Exp Med. 2016 05 02; 213(5):809-25.	
				
				
					Score: 0.110
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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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