Search Results - (Author, Cooperation:L. A. Mitchell)

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  1. 1
    N. Annaluru ; H. Muller ; L. A. Mitchell ; S. Ramalingam ; G. Stracquadanio ; S. M. Richardson ; J. S. Dymond ; Z. Kuang ; L. Z. Scheifele ; E. M. Cooper ; Y. Cai ; K. Zeller ; N. Agmon ; J. S. Han ; M. Hadjithomas ; J. Tullman ; K. Caravelli ; K. Cirelli ; Z. Guo ; V. London ; A. Yeluru ; S. Murugan ; K. Kandavelou ; N. Agier ; G. Fischer ; K. Yang ; J. A. Martin ; M. Bilgel ; P. Bohutski ; K. M. Boulier ; B. J. Capaldo ; J. Chang ; K. Charoen ; W. J. Choi ; P. Deng ; J. E. DiCarlo ; J. Doong ; J. Dunn ; J. I. Feinberg ; C. Fernandez ; C. E. Floria ; D. Gladowski ; P. Hadidi ; I. Ishizuka ; J. Jabbari ; C. Y. Lau ; P. A. Lee ; S. Li ; D. Lin ; M. E. Linder ; J. Ling ; J. Liu ; M. London ; H. Ma ; J. Mao ; J. E. McDade ; A. McMillan ; A. M. Moore ; W. C. Oh ; Y. Ouyang ; R. Patel ; M. Paul ; L. C. Paulsen ; J. Qiu ; A. Rhee ; M. G. Rubashkin ; I. Y. Soh ; N. E. Sotuyo ; V. Srinivas ; A. Suarez ; A. Wong ; R. Wong ; W. R. Xie ; Y. Xu ; A. T. Yu ; R. Koszul ; J. S. Bader ; J. D. Boeke ; S. Chandrasegaran
    American Association for the Advancement of Science (AAAS)
    Published 2014
    Staff View
    Publication Date:
    2014-03-29
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Base Sequence ; *Chromosomes, Fungal/genetics/metabolism ; DNA, Fungal/genetics ; Genes, Fungal ; Genetic Fitness ; Genome, Fungal ; Genomic Instability ; Introns ; Molecular Sequence Data ; Mutation ; Polymerase Chain Reaction ; RNA, Fungal/genetics ; RNA, Transfer/genetics ; Saccharomyces cerevisiae/cytology/*genetics/physiology ; Sequence Analysis, DNA ; Sequence Deletion ; Synthetic Biology/*methods ; Transformation, Genetic
    Published by:
    http://www.aaas.org/

    Latest Papers from Table of Contents or Articles in Press
  2. 2
    Staff View
    Publication Date:
    2018-01-05
    Publisher:
    Genetics Society of America (GSA)
    Electronic ISSN:
    2160-1836
    Topics:
    Biology
    Published by:
    http://www.genetics-gsa.org/

    Latest Papers from Table of Contents or Articles in Press
  3. 3
    Staff View
    ISSN:
    1432-0428
    Keywords:
    Keywords Autoreactivity, autoimmune disease, Coxsackie, glutamic acid decarboxylase, Type I diabetes, rubella, T-cell epitope.
    Source:
    Springer Online Journal Archives 1860-2000
    Topics:
    Medicine
    Notes:
    Abstract Aims/hypothesis. To examine the cross-reaction between viral and beta-cell protein determinants and to further understand the potential role of this mechanism in Type I (insulind-dependent) diabetes mellitus.¶Methods. Immune responses to a panel of 28 viral and beta-cell protein peptides representing selected sequences of rubella virus (RV), Coxsackie virus, human 38 KDa31G and glutamic acid decarboxylase (GAD 65 and 67) proteins in proliferation or cytotoxicity assays have been studied using uncloned and cloned T-cell cohorts from a group of 60 Type I diabetic patients.¶Results. Peptide GAD65(252–266) induced the responses of patients with recent onset diabetes in proliferation assays at the highest frequency (77 %), whereas GAD67(212–226) stimulated the cellular responses at the highest rate (61 %) in patients with late-onset diabetes. RVE1(157–176) was recognised by all groups of patients at the highest frequency and the largest amplitude among the viral peptides tested. T-cell clones specific to GAD65(252–266), GAD65(274–286) or GAD67(212–226) were tested in cytotoxicity assays for their responses to rubella virus peptides. Each of these T-cell clones cross-reacted with two to four rubella virus peptides, including RVE1(157–176) and RVE2(87–107). Analysis of the sequences of cross-reactive viral and glutamic acid decarboxylase antigens showed that these epitopes shared similar peptide binding motifs to HLA DR3/DR4. There is a statistically significant correlation between the response amplitude of patient's peripheral blood mononuclear cells to RVE1(157–176), RVE2(87–107) and GAD65(274–286) in patients with recent onset diabetes, and to RVE1(157–176) and GAD67(212–226) in patients with late onset diabetes.¶Conclusion/interpretation. Cross-reactive glutamic acid decarboxylase and rubella virus determinants identified by T-cell clones were also recognised at high frequencies by general T-cell populations of Type I diabetic patients. [Diabetologia (2000) 43: 750–762]
    Type of Medium:
    Electronic Resource
    URL:
    http://dx.doi.org/10.1007/s001250051373

    Articles: DFG German National Licenses