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Connection

Chia Lee to Disease Models, Animal

This is a "connection" page, showing publications Chia Lee has written about Disease Models, Animal.

 
Connection Strength
  
 
 
0.440
  
  1. Lei MG, Gupta RK, Lee CY. A Rat Model of Orthopedic Implant-Associated Infection for Identification of Staphylococcal Biofilm Proteins. Methods Mol Biol. 2021; 2341:117-125.
    View in: PubMed
    Score: 0.127
  2. Lei MG, Gupta RK, Lee CY. Proteomics of Staphylococcus aureus biofilm matrix in a rat model of orthopedic implant-associated infection. PLoS One. 2017; 12(11):e0187981.
    View in: PubMed
    Score: 0.102
  3. Cassat JE, Smeltzer MS, Lee CY. Investigation of biofilm formation in clinical isolates of Staphylococcus aureus. Methods Mol Biol. 2014; 1085:195-211.
    View in: PubMed
    Score: 0.078
  4. Gupta RK, Alba J, Xiong YQ, Bayer AS, Lee CY. MgrA activates expression of capsule genes, but not the a-toxin gene in experimental Staphylococcus aureus endocarditis. J Infect Dis. 2013 Dec 01; 208(11):1841-8.
    View in: PubMed
    Score: 0.076
  5. Gaupp R, Wirf J, Wonnenberg B, Biegel T, Eisenbeis J, Graham J, Herrmann M, Lee CY, Beisswenger C, Wolz C, Tschernig T, Bischoff M, Somerville GA. RpiRc Is a Pleiotropic Effector of Virulence Determinant Synthesis and Attenuates Pathogenicity in Staphylococcus aureus. Infect Immun. 2016 07; 84(7):2031-2041.
    View in: PubMed
    Score: 0.023
  6. Beenken KE, Mrak LN, Zielinska AK, Atwood DN, Loughran AJ, Griffin LM, Matthews KA, Anthony AM, Spencer HJ, Skinner RA, Post GR, Lee CY, Smeltzer MS. Impact of the functional status of saeRS on in vivo phenotypes of Staphylococcus aureus sarA mutants. Mol Microbiol. 2014 Jun; 92(6):1299-312.
    View in: PubMed
    Score: 0.020
  7. Zhu Y, Xiong YQ, Sadykov MR, Fey PD, Lei MG, Lee CY, Bayer AS, Somerville GA. Tricarboxylic acid cycle-dependent attenuation of Staphylococcus aureus in vivo virulence by selective inhibition of amino acid transport. Infect Immun. 2009 Oct; 77(10):4256-64.
    View in: PubMed
    Score: 0.014
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.