001     167227
005     20240229123235.0
024 7 _ |2 doi
|a 10.2337/db20-0013
024 7 _ |2 pmid
|a pmid:32928873
024 7 _ |2 ISSN
|a 0012-1797
024 7 _ |2 ISSN
|a 1939-327X
024 7 _ |a altmetric:90329746
|2 altmetric
037 _ _ |a DKFZ-2021-00212
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Azoury, Marie Eliane
|b 0
245 _ _ |a Peptides Derived From Insulin Granule Proteins Are Targeted by CD8+ T Cells Across MHC Class I Restrictions in Humans and NOD Mice.
260 _ _ |a Alexandria, Va
|b Assoc.
|c 2020
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
|s 1612168957_12223
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |0 0
|2 EndNote
|a Journal Article
500 _ _ |a Division of Developmental Immunology
520 _ _ |a The antigenic peptides processed by β-cells and presented through surface HLA class I molecules are poorly characterized. Each HLA variant (e.g., the most common being HLA-A2 and HLA-A3) carries some peptide-binding specificity. Hence, features that, despite these specificities, remain shared across variants may reveal factors favoring β-cell immunogenicity. Building on our previous description of the HLA-A2/A3 peptidome of β-cells, we analyzed the HLA-A3-restricted peptides targeted by circulating CD8+ T cells. Several peptides were recognized by CD8+ T cells within a narrow frequency (1-50/106), which was similar in donors with and without type 1 diabetes and harbored variable effector/memory fractions. These epitopes could be classified as conventional peptides or neoepitopes, generated either via peptide cis-splicing or mRNA splicing (e.g., secretogranin-5 [SCG5]-009). As reported for HLA-A2-restricted peptides, several epitopes originated from β-cell granule proteins (e.g., SCG3, SCG5, and urocortin-3). Similarly, H-2Kd-restricted CD8+ T cells recognizing the murine orthologs of SCG5, urocortin-3, and proconvertase-2 infiltrated the islets of NOD mice and transferred diabetes into NOD/scid recipients. The finding of granule proteins targeted in both humans and NOD mice supports their disease relevance and identifies the insulin granule as a rich source of epitopes, possibly reflecting its impaired processing in type 1 diabetes.
536 _ _ |0 G:(DE-HGF)POF3-314
|a 314 - Tumor immunology (POF3-314)
|c POF3-314
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 7 |2 NLM Chemicals
|a Chromogranins
650 _ 7 |2 NLM Chemicals
|a Epitopes
650 _ 7 |2 NLM Chemicals
|a HLA-A3 Antigen
650 _ 7 |2 NLM Chemicals
|a Insulin
650 _ 7 |2 NLM Chemicals
|a Neuroendocrine Secretory Protein 7B2
650 _ 7 |2 NLM Chemicals
|a RNA, Messenger
650 _ 7 |2 NLM Chemicals
|a Ucn3 protein, mouse
650 _ 7 |2 NLM Chemicals
|a Urocortins
650 _ 2 |2 MeSH
|a Adult
650 _ 2 |2 MeSH
|a Alternative Splicing
650 _ 2 |2 MeSH
|a Animals
650 _ 2 |2 MeSH
|a CD8-Positive T-Lymphocytes
650 _ 2 |2 MeSH
|a Case-Control Studies
650 _ 2 |2 MeSH
|a Chromogranins: genetics
650 _ 2 |2 MeSH
|a Chromogranins: metabolism
650 _ 2 |2 MeSH
|a Computer Simulation
650 _ 2 |2 MeSH
|a Data Mining
650 _ 2 |2 MeSH
|a Diabetes Mellitus, Type 1: genetics
650 _ 2 |2 MeSH
|a Diabetes Mellitus, Type 1: metabolism
650 _ 2 |2 MeSH
|a Epitopes
650 _ 2 |2 MeSH
|a Female
650 _ 2 |2 MeSH
|a Gene Expression Regulation
650 _ 2 |2 MeSH
|a HLA-A3 Antigen
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Insulin
650 _ 2 |2 MeSH
|a Male
650 _ 2 |2 MeSH
|a Mice
650 _ 2 |2 MeSH
|a Mice, Inbred NOD
650 _ 2 |2 MeSH
|a Neuroendocrine Secretory Protein 7B2: genetics
650 _ 2 |2 MeSH
|a Neuroendocrine Secretory Protein 7B2: metabolism
650 _ 2 |2 MeSH
|a Protein Binding
650 _ 2 |2 MeSH
|a RNA, Messenger: genetics
650 _ 2 |2 MeSH
|a Urocortins: genetics
650 _ 2 |2 MeSH
|a Urocortins: metabolism
650 _ 2 |2 MeSH
|a Young Adult
700 1 _ |a Tarayrah, Mahmoud
|b 1
700 1 _ |a Afonso, Georgia
|b 2
700 1 _ |a Pais, Aurore
|b 3
700 1 _ |a Colli, Maikel L
|b 4
700 1 _ |a Maillard, Claire
|b 5
700 1 _ |a Lavaud, Cassandra
|b 6
700 1 _ |0 0000-0002-4549-699X
|a Alexandre-Heymann, Laure
|b 7
700 1 _ |a Gonzalez-Duque, Sergio
|b 8
700 1 _ |a Verdier, Yann
|b 9
700 1 _ |a Vinh, Joelle
|b 10
700 1 _ |0 P:(DE-He78)d2f9dbffa7b9a979f9bc4d81e769497e
|a Pinto, Sheena
|b 11
700 1 _ |a Buus, Soren
|b 12
700 1 _ |0 0000-0003-3287-6309
|a Dubois-Laforgue, Danièle
|b 13
700 1 _ |0 0000-0002-1017-1845
|a Larger, Etienne
|b 14
700 1 _ |a Beressi, Jean-Paul
|b 15
700 1 _ |a Bruno, Graziella
|b 16
700 1 _ |0 0000-0003-2453-5889
|a Eizirik, Decio L
|b 17
700 1 _ |a You, Sylvaine
|b 18
700 1 _ |0 0000-0002-9846-8861
|a Mallone, Roberto
|b 19
773 _ _ |0 PERI:(DE-600)1501252-9
|a 10.2337/db20-0013
|g Vol. 69, no. 12, p. 2678 - 2690
|n 12
|p 2678 - 2690
|t Diabetes
|v 69
|x 1939-327X
|y 2020
909 C O |o oai:inrepo02.dkfz.de:167227
|p VDB
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)d2f9dbffa7b9a979f9bc4d81e769497e
|a Deutsches Krebsforschungszentrum
|b 11
|k DKFZ
913 1 _ |0 G:(DE-HGF)POF3-314
|1 G:(DE-HGF)POF3-310
|2 G:(DE-HGF)POF3-300
|3 G:(DE-HGF)POF3
|4 G:(DE-HGF)POF
|a DE-HGF
|b Gesundheit
|l Krebsforschung
|v Tumor immunology
|x 0
914 1 _ |y 2020
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b DIABETES : 2018
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0320
|2 StatID
|a DBCoverage
|b PubMed Central
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0600
|2 StatID
|a DBCoverage
|b Ebsco Academic Search
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer Review
|b ASC
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Clarivate Analytics Master Journal List
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)1030
|2 StatID
|a DBCoverage
|b Current Contents - Life Sciences
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0160
|2 StatID
|a DBCoverage
|b Essential Science Indicators
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)1050
|2 StatID
|a DBCoverage
|b BIOSIS Previews
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)1110
|2 StatID
|a DBCoverage
|b Current Contents - Clinical Medicine
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)1190
|2 StatID
|a DBCoverage
|b Biological Abstracts
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0113
|2 StatID
|a WoS
|b Science Citation Index Expanded
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
|d 2020-08-29
915 _ _ |0 StatID:(DE-HGF)9905
|2 StatID
|a IF >= 5
|b DIABETES : 2018
|d 2020-08-29
920 1 _ |0 I:(DE-He78)D090-20160331
|k D090 ; D090
|l Entwicklungsimmunologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)D090-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21