Home > Publications database > Cross-talk between ILC2 and Gata3high Tregs locally constrains adaptive type 2 immunity. > print

001     291771
005     20240728012152.0
024 7 _ |a 10.1126/sciimmunol.adl1903
|2 doi
024 7 _ |a pmid:39028828
|2 pmid
024 7 _ |a altmetric:165517722
|2 altmetric
037 _ _ |a DKFZ-2024-01507
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Stockis, Julie
|0 0000-0003-4911-6891
|b 0
245 _ _ |a Cross-talk between ILC2 and Gata3high Tregs locally constrains adaptive type 2 immunity.
260 _ _ |a Washington, DC
|c 2024
|b AAAS
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1721656560_17462
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Regulatory T cells (Tregs) control adaptive immunity and restrain type 2 inflammation in allergic disease. Interleukin-33 promotes the expansion of tissue-resident Tregs and group 2 innate lymphoid cells (ILC2s); however, how Tregs locally coordinate their function within the inflammatory niche is not understood. Here, we show that ILC2s are critical orchestrators of Treg function. Using spatial, cellular, and molecular profiling of the type 2 inflamed niche, we found that ILC2s and Tregs engage in a direct (OX40L-OX40) and chemotaxis-dependent (CCL1-CCR8) cellular dialogue that enforces the local accumulation of Gata3high Tregs, which are transcriptionally and functionally adapted to the type 2 environment. Genetic interruption of ILC2-Treg communication resulted in uncontrolled type 2 lung inflammation after allergen exposure. Mechanistically, we found that Gata3high Tregs can modulate the local bioavailability of the costimulatory molecule OX40L, which subsequently controlled effector memory T helper 2 cell numbers. Hence, ILC2-Treg interactions represent a critical feedback mechanism to control adaptive type 2 immunity.
536 _ _ |a 314 - Immunologie und Krebs (POF4-314)
|0 G:(DE-HGF)POF4-314
|c POF4-314
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a GATA3 Transcription Factor
|2 NLM Chemicals
650 _ 7 |a Gata3 protein, mouse
|2 NLM Chemicals
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a T-Lymphocytes, Regulatory: immunology
|2 MeSH
650 _ 2 |a GATA3 Transcription Factor: immunology
|2 MeSH
650 _ 2 |a GATA3 Transcription Factor: metabolism
|2 MeSH
650 _ 2 |a Mice
|2 MeSH
650 _ 2 |a Adaptive Immunity: immunology
|2 MeSH
650 _ 2 |a Mice, Inbred C57BL
|2 MeSH
650 _ 2 |a Lymphocytes: immunology
|2 MeSH
650 _ 2 |a Immunity, Innate: immunology
|2 MeSH
650 _ 2 |a Mice, Knockout
|2 MeSH
650 _ 2 |a Th2 Cells: immunology
|2 MeSH
650 _ 2 |a Female
|2 MeSH
700 1 _ |a Yip, Thomas
|0 0009-0007-6287-3543
|b 1
700 1 _ |a Moreno-Vicente, Julia
|0 0000-0002-1740-9350
|b 2
700 1 _ |a Burton, Oliver
|0 0000-0003-3884-7373
|b 3
700 1 _ |a Samarakoon, Youhani
|b 4
700 1 _ |a Schuijs, Martijn J
|0 0000-0001-6433-6417
|b 5
700 1 _ |a Raghunathan, Shwetha
|b 6
700 1 _ |a Garcia, Celine
|b 7
700 1 _ |a Luo, Weike
|0 0009-0008-1337-6484
|b 8
700 1 _ |a Whiteside, Sarah K
|0 0000-0003-4354-4713
|b 9
700 1 _ |a Png, Shaun
|0 0000-0002-2364-4621
|b 10
700 1 _ |a Simpson, Charlotte
|b 11
700 1 _ |a Monk, Stela
|0 0009-0002-5634-7233
|b 12
700 1 _ |a Sawle, Ashley
|0 0000-0002-2985-5059
|b 13
700 1 _ |a Yin, Kelvin
|0 0000-0003-2993-6374
|b 14
700 1 _ |a Barbieri, Johanna
|0 0009-0008-3309-7589
|b 15
700 1 _ |a Papadopoulos, Panagiotis
|0 0000-0002-3667-6817
|b 16
700 1 _ |a Wong, Hannah
|0 0000-0002-9530-7106
|b 17
700 1 _ |a Rodewald, Hans-Reimer
|0 P:(DE-He78)86fa3316b7be0d661065d02b3baec3d6
|b 18
|u dkfz
700 1 _ |a Vyse, Timothy
|0 0000-0003-1123-1464
|b 19
700 1 _ |a McKenzie, Andrew N J
|0 0000-0001-9757-2512
|b 20
700 1 _ |a Cragg, Mark S
|0 0000-0003-2077-089X
|b 21
700 1 _ |a Hoare, Matthew
|0 0000-0001-5990-9604
|b 22
700 1 _ |a Withers, David R
|0 0000-0003-3757-7594
|b 23
700 1 _ |a Fehling, Hans Jörg
|0 0000-0002-4580-1990
|b 24
700 1 _ |a Roychoudhuri, Rahul
|0 0000-0002-5392-1853
|b 25
700 1 _ |a Liston, Adrian
|0 0000-0002-6272-4085
|b 26
700 1 _ |a Halim, Timotheus Y F
|0 0000-0001-9773-0023
|b 27
773 _ _ |a 10.1126/sciimmunol.adl1903
|g Vol. 9, no. 97, p. eadl1903
|0 PERI:(DE-600)2862556-0
|n 97
|p eadl1903
|t Science immunology
|v 9
|y 2024
|x 2470-9468
909 C O |o oai:inrepo02.dkfz.de:291771
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 18
|6 P:(DE-He78)86fa3316b7be0d661065d02b3baec3d6
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-314
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Immunologie und Krebs
|x 0
914 1 _ |y 2024
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI IMMUNOL : 2022
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-08-23
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2023-08-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-08-23
915 _ _ |a IF >= 20
|0 StatID:(DE-HGF)9920
|2 StatID
|b SCI IMMUNOL : 2022
|d 2023-08-23
920 1 _ |0 I:(DE-He78)D110-20160331
|k D110
|l Zelluläre Immunologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)D110-20160331
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21