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Connection

Edwin Liu to Mice, Transgenic

This is a "connection" page, showing publications Edwin Liu has written about Mice, Transgenic.

 
Connection Strength
 
 
 
0.175
 
  1. Jasinski JM, Yu L, Nakayama M, Li MM, Lipes MA, Eisenbarth GS, Liu E. Transgenic insulin (B:9-23) T-cell receptor mice develop autoimmune diabetes dependent upon RAG genotype, H-2g7 homozygosity, and insulin 2 gene knockout. Diabetes. 2006 Jul; 55(7):1978-84.
    View in: PubMed
    Score: 0.044
  2. Devendra D, Jasinski J, Melanitou E, Nakayama M, Li M, Hensley B, Paronen J, Moriyama H, Miao D, Eisenbarth GS, Liu E. Interferon-alpha as a mediator of polyinosinic:polycytidylic acid-induced type 1 diabetes. Diabetes. 2005 Sep; 54(9):2549-56.
    View in: PubMed
    Score: 0.042
  3. Devendra D, Paronen J, Moriyama H, Miao D, Eisenbarth GS, Liu E. Differential immune response to B:9-23 insulin 1 and insulin 2 peptides in animal models of type 1 diabetes. J Autoimmun. 2004 Aug; 23(1):17-26.
    View in: PubMed
    Score: 0.039
  4. Kendall PL, Case JB, Sullivan AM, Holderness JS, Wells KS, Liu E, Thomas JW. Tolerant anti-insulin B cells are effective APCs. J Immunol. 2013 Mar 15; 190(6):2519-26.
    View in: PubMed
    Score: 0.018
  5. Kobayashi M, Jasinski J, Liu E, Li M, Miao D, Zhang L, Yu L, Nakayama M, Eisenbarth GS. Conserved T cell receptor alpha-chain induces insulin autoantibodies. Proc Natl Acad Sci U S A. 2008 Jul 22; 105(29):10090-4.
    View in: PubMed
    Score: 0.013
  6. Nakayama M, Abiru N, Moriyama H, Babaya N, Liu E, Miao D, Yu L, Wegmann DR, Hutton JC, Elliott JF, Eisenbarth GS. Prime role for an insulin epitope in the development of type 1 diabetes in NOD mice. Nature. 2005 May 12; 435(7039):220-3.
    View in: PubMed
    Score: 0.010
  7. Paronen J, Liu E, Moriyama H, Devendra D, Ide A, Taylor R, Yu L, Miao D, Melanitou E, Eisenbarth GS. Genetic differentiation of poly I:C from B:9-23 peptide induced experimental autoimmune diabetes. J Autoimmun. 2004 Jun; 22(4):307-13.
    View in: PubMed
    Score: 0.010
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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