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Connection

Maki Nakayama to T-Lymphocytes

This is a "connection" page, showing publications Maki Nakayama has written about T-Lymphocytes.

 
Connection Strength
 
 
 
1.617
 
  1. Nakayama M, Michels AW. Using the T Cell Receptor as a Biomarker in Type 1 Diabetes. Front Immunol. 2021; 12:777788.
    View in: PubMed
    Score: 0.460
  2. Slansky JE, Nakayama M. Peptide mimotopes alter T cell function in cancer and autoimmunity. Semin Immunol. 2020 02; 47:101395.
    View in: PubMed
    Score: 0.410
  3. Nakayama M, Michels AW. Determining Antigen Specificity of Human Islet Infiltrating T Cells in Type 1 Diabetes. Front Immunol. 2019; 10:365.
    View in: PubMed
    Score: 0.381
  4. Baker RL, Rihanek M, Hohenstein AC, Nakayama M, Michels A, Gottlieb PA, Haskins K, Delong T. Hybrid Insulin Peptides Are Autoantigens in Type 1 Diabetes. Diabetes. 2019 09; 68(9):1830-1840.
    View in: PubMed
    Score: 0.097
  5. Nakayama M, Simmons KM, Michels AW. Molecular Interactions Governing Autoantigen Presentation in Type 1 Diabetes. Curr Diab Rep. 2015 Dec; 15(12):113.
    View in: PubMed
    Score: 0.076
  6. Nakayama M. Insulin as a key autoantigen in the development of type 1 diabetes. Diabetes Metab Res Rev. 2011 Nov; 27(8):773-7.
    View in: PubMed
    Score: 0.057
  7. Born WK, Zhang L, Nakayama M, Jin N, Chain JL, Huang Y, Aydintug MK, O'Brien RL. Peptide antigens for gamma/delta T cells. Cell Mol Life Sci. 2011 Jul; 68(14):2335-43.
    View in: PubMed
    Score: 0.055
  8. Zhang L, Jasinski JM, Kobayashi M, Davenport B, Johnson K, Davidson H, Nakayama M, Haskins K, Eisenbarth GS. Analysis of T cell receptor beta chains that combine with dominant conserved TRAV5D-4*04 anti-insulin B:9-23 alpha chains. J Autoimmun. 2009 Aug; 33(1):42-9.
    View in: PubMed
    Score: 0.048
  9. Mitchell AM, Baschal EE, McDaniel KA, Fleury T, Choi H, Pyle L, Yu L, Rewers MJ, Nakayama M, Michels AW. Tracking DNA-based antigen-specific T cell receptors during progression to type 1 diabetes. Sci Adv. 2023 Dec 08; 9(49):eadj6975.
    View in: PubMed
    Score: 0.033
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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