Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
Keywords
Last Name
Institution

Contact Us
If you have any questions or feedback please contact us.

Connection

Maki Nakayama to Mice, Inbred NOD

This is a "connection" page, showing publications Maki Nakayama has written about Mice, Inbred NOD.

 
Connection Strength
 
 
 
0.563
 
  1. Burrack AL, Landry LG, Siebert J, Coulombe M, Gill RG, Nakayama M. Simultaneous Recognition of Allogeneic MHC and Cognate Autoantigen by Autoreactive T Cells in Transplant Rejection. J Immunol. 2018 02 15; 200(4):1504-1512.
    View in: PubMed
    Score: 0.123
  2. Nakayama M, Castoe T, Sosinowski T, He X, Johnson K, Haskins K, Vignali DA, Gapin L, Pollock D, Eisenbarth GS. Germline TRAV5D-4 T-cell receptor sequence targets a primary insulin peptide of NOD mice. Diabetes. 2012 Apr; 61(4):857-65.
    View in: PubMed
    Score: 0.082
  3. 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: 0.080
  4. 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: 0.051
  5. Nakayama M, Moriyama H, Abiru N, Babu SR, Sikora K, Li M, Miao D, Hutton JC, Elliott JF, Eisenbarth GS. Establishment of native insulin-negative NOD mice and the methodology to distinguish specific insulin knockout genotypes and a B:16 alanine preproinsulin transgene. Ann N Y Acad Sci. 2004 Dec; 1037:193-8.
    View in: PubMed
    Score: 0.050
  6. 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: 0.033
  7. Baker RL, Jamison BL, Wiles TA, Lindsay RS, Barbour G, Bradley B, Delong T, Friedman RS, Nakayama M, Haskins K. CD4 T Cells Reactive to Hybrid Insulin Peptides Are Indicators of Disease Activity in the NOD Mouse. Diabetes. 2018 09; 67(9):1836-1846.
    View in: PubMed
    Score: 0.032
  8. Baker RL, Delong T, Barbour G, Bradley B, Nakayama M, Haskins K. Cutting edge: CD4 T cells reactive to an islet amyloid polypeptide peptide accumulate in the pancreas and contribute to disease pathogenesis in nonobese diabetic mice. J Immunol. 2013 Oct 15; 191(8):3990-4.
    View in: PubMed
    Score: 0.023
  9. Michels AW, Ostrov DA, Zhang L, Nakayama M, Fuse M, McDaniel K, Roep BO, Gottlieb PA, Atkinson MA, Eisenbarth GS. Structure-based selection of small molecules to alter allele-specific MHC class II antigen presentation. J Immunol. 2011 Dec 01; 187(11):5921-30.
    View in: PubMed
    Score: 0.020
  10. Crawford F, Stadinski B, Jin N, Michels A, Nakayama M, Pratt P, Marrack P, Eisenbarth G, Kappler JW. Specificity and detection of insulin-reactive CD4+ T cells in type 1 diabetes in the nonobese diabetic (NOD) mouse. Proc Natl Acad Sci U S A. 2011 Oct 04; 108(40):16729-34.
    View in: PubMed
    Score: 0.020
  11. Zhang L, Jin N, Nakayama M, O'Brien RL, Eisenbarth GS, Born WK. Gamma delta T cell receptors confer autonomous responsiveness to the insulin-peptide B:9-23. J Autoimmun. 2010 Jun; 34(4):478-84.
    View in: PubMed
    Score: 0.018
  12. 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: 0.017
  13. Zhang L, Gianani R, Nakayama M, Liu E, Kobayashi M, Baschal E, Yu L, Babu S, Dawson A, Johnson K, Jahromi M, Aly T, Fain P, Barker J, Rewers M, Eisenbarth GS. Type 1 diabetes: chronic progressive autoimmune disease. Novartis Found Symp. 2008; 292:85-94; discussion 94-8, 122-9, 202-3.
    View in: PubMed
    Score: 0.015
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.

Copyright © 2026 The Regents of the University of Colorado, a body corporate. All rights reserved. (Harvard PROFILES RNS software version: 2.11.1)