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Connection

Liping Yu to Peptide Fragments

This is a "connection" page, showing publications Liping Yu has written about Peptide Fragments.

 
Connection Strength
 
 
 
0.301
 
  1. Michels AW, Landry LG, McDaniel KA, Yu L, Campbell-Thompson M, Kwok WW, Jones KL, Gottlieb PA, Kappler JW, Tang Q, Roep BO, Atkinson MA, Mathews CE, Nakayama M. Islet-Derived CD4 T Cells Targeting Proinsulin in Human Autoimmune Diabetes. Diabetes. 2017 03; 66(3):722-734.
    View in: PubMed
    Score: 0.104
  2. Devendra D, Paronen J, Liu E, Moriyama H, Miao D, Yu L, Eisenbarth GS. Differential immune induction with subcutaneous versus oral administration of a diabetogenic insulin peptide in the NOD mouse. Ann N Y Acad Sci. 2004 Dec; 1029:328-30.
    View in: PubMed
    Score: 0.045
  3. Devendra D, Paronen J, Liu E, Moriyama H, Taylor R, Miao D, Yu L, Eisenbarth G. Comparative study of oral versus subcutaneous B:9-23 insulin peptide in Balb/c mice as an experimental model for autoimmune diabetes. Ann N Y Acad Sci. 2004 Dec; 1029:331-3.
    View in: PubMed
    Score: 0.045
  4. 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: 0.044
  5. Liu E, Moriyama H, Paronen J, Abiru N, Miao D, Yu L, Taylor RM, Eisenbarth GS. Nondepleting anti-CD4 monoclonal antibody prevents diabetes and blocks induction of insulin autoantibodies following insulin peptide B:9-23 immunization in the NOD mouse. J Autoimmun. 2003 Nov; 21(3):213-9.
    View in: PubMed
    Score: 0.042
  6. Liu E, Yu L, Moriyama H, Eisenbarth GS. Animal models of insulin-dependent diabetes. Methods Mol Med. 2004; 102:195-212.
    View in: PubMed
    Score: 0.011
  7. Miao D, Yu L, Tiberti C, Cuthbertson DD, Rewers M, di Mario U, Eisenbarth GS, Dotta F. ICA512(IA-2) epitope specific assays distinguish transient from diabetes associated autoantibodies. J Autoimmun. 2002 Mar; 18(2):191-6.
    View in: PubMed
    Score: 0.009
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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