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Connection

Shaodong Dai to Autoantigens

This is a "connection" page, showing publications Shaodong Dai has written about Autoantigens.

 
Connection Strength
 
 
 
1.304
 
  1. Wang Y, Sosinowski T, Novikov A, Crawford F, White J, Jin N, Liu Z, Zou J, Neau D, Davidson HW, Nakayama M, Kwok WW, Gapin L, Marrack P, Kappler JW, Dai S. How C-terminal additions to insulin B-chain fragments create superagonists for T cells in mouse and human type 1 diabetes. Sci Immunol. 2019 04 05; 4(34).
    View in: PubMed
    Score: 0.555
  2. Li W, Li R, Wang Y, Zhang Y, Tomar MS, Dai S. Calcitonin gene-related peptide is a potential autoantigen for CD4 T cells in type 1 diabetes. Front Immunol. 2022; 13:951281.
    View in: PubMed
    Score: 0.176
  3. Li W, Zhang Y, Li R, Wang Y, Chen L, Dai S. A Novel Tolerogenic Antibody Targeting Disulfide-Modified Autoantigen Effectively Prevents Type 1 Diabetes in NOD Mice. Front Immunol. 2022; 13:877022.
    View in: PubMed
    Score: 0.175
  4. Wei P, Jordan KR, Buhrman JD, Lei J, Deng H, Marrack P, Dai S, Kappler JW, Slansky JE, Yin L. Structures suggest an approach for converting weak self-peptide tumor antigens into superagonists for CD8 T cells in cancer. Proc Natl Acad Sci U S A. 2021 06 08; 118(23).
    View in: PubMed
    Score: 0.161
  5. Jin N, Wang Y, Crawford F, White J, Marrack P, Dai S, Kappler JW. N-terminal additions to the WE14 peptide of chromogranin A create strong autoantigen agonists in type 1 diabetes. Proc Natl Acad Sci U S A. 2015 Oct 27; 112(43):13318-23.
    View in: PubMed
    Score: 0.109
  6. Yin L, Dai S, Clayton G, Gao W, Wang Y, Kappler J, Marrack P. Recognition of self and altered self by T cells in autoimmunity and allergy. Protein Cell. 2013 Jan; 4(1):8-16.
    View in: PubMed
    Score: 0.090
  7. Cepeda JR, Sekhar NS, Han J, Xiong W, Zhang N, Yu L, Dai S, Davidson HW, Kappler JW, An Z, Zhang L. A monoclonal antibody with broad specificity for the ligands of insulin B:9-23 reactive T cells prevents spontaneous type 1 diabetes in mice. MAbs. 2020 Jan-Dec; 12(1):1836714.
    View in: PubMed
    Score: 0.037
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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