001     130957
005     20240228145559.0
024 7 _ |a 10.4049/jimmunol.1700203
|2 doi
024 7 _ |a pmid:28993517
|2 pmid
024 7 _ |a 0022-1767
|2 ISSN
024 7 _ |a 1550-6606
|2 ISSN
024 7 _ |a altmetric:27234983
|2 altmetric
037 _ _ |a DKFZ-2017-06033
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Michel, Chloe
|0 P:(DE-He78)a4cd801173d81a4409262f88a8ecdf55
|b 0
|e First author
|u dkfz
245 _ _ |a Revisiting the Road Map of Medullary Thymic Epithelial Cell Differentiation.
260 _ _ |a Bethesda, Md.
|c 2017
|b Soc.
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 1660827735_30405
|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 The basic two-step terminal differentiation model of the medullary thymic epithelial cell (mTEC) lineage from immature MHC class II (MHCII)(lo) to mature MHCII(hi) mTECs has recently been extended to include a third stage, namely the post-Aire MHCII(lo) subset as identified by lineage-tracing models. However, a suitable surface marker distinguishing the phenotypically overlapping pre- from the post-Aire MHCII(lo) stage has been lacking. In this study, we introduce the lectin Tetragonolobus purpureas agglutinin (TPA) as a novel cell surface marker that allows for such delineation. Based on our data, we derived the following sequence of mTEC differentiation: TPA(lo)MHCII(lo) → TPA(lo)MHCII(hi) → TPA(hi)MHCII(hi) → TPA(hi)MHCII(lo) Surprisingly, in the steady-state postnatal thymus TPA(lo)MHCII(lo) pre-Aire rather than terminally differentiated post-Aire TPA(hi)MHCII(lo) mTECs were marked for apoptosis at an exceptionally high rate of ∼70%. Hence, only the minor cycling fraction of the MHCII(lo) subset (<20%) potentially qualified as mTEC precursors. FoxN1 expression inversely correlated with the fraction of slow cycling and apoptotic cells within the four TPA subsets. TPA also further subdivided human mTECs, although with different subset distribution. Our revised road map emphazises close parallels of terminal mTEC development with that of skin, undergoing an alternative route of cell death, namely cornification rather than apoptosis. The high rate of apoptosis in pre-Aire MHCII(lo) mTECs points to a 'quality control' step during early mTEC differentiation.
536 _ _ |a 314 - Tumor immunology (POF3-314)
|0 G:(DE-HGF)POF3-314
|c POF3-314
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Miller, Corey N
|b 1
700 1 _ |a Küchler, Rita
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Brors, Benedikt
|0 0000-0001-5940-3101
|b 3
700 1 _ |a Anderson, Mark S
|b 4
700 1 _ |a Kyewski, Bruno
|0 P:(DE-He78)08a57258198dcedd8ff8ac7eef40341a
|b 5
|u dkfz
700 1 _ |a Pinto, Sheena
|0 P:(DE-He78)d2f9dbffa7b9a979f9bc4d81e769497e
|b 6
|e Last author
|u dkfz
773 _ _ |a 10.4049/jimmunol.1700203
|g Vol. 199, no. 10, p. 3488 - 3503
|0 PERI:(DE-600)1475085-5
|n 10
|p 3488 - 3503
|t The journal of immunology
|v 199
|y 2017
|x 1550-6606
909 C O |p VDB
|o oai:inrepo02.dkfz.de:130957
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)a4cd801173d81a4409262f88a8ecdf55
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 0000-0001-5940-3101
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)08a57258198dcedd8ff8ac7eef40341a
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)d2f9dbffa7b9a979f9bc4d81e769497e
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-314
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Tumor immunology
|x 0
914 1 _ |y 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J IMMUNOL : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-He78)D090-20160331
|k D090 ; D090
|l Entwicklungsimmunologie
|x 0
920 1 _ |0 I:(DE-He78)G200-20160331
|k G200
|l Angewandte Bioinformatik
|x 1
920 1 _ |0 I:(DE-He78)L101-20160331
|k L101
|l DKTK Heidelberg
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)D090-20160331
980 _ _ |a I:(DE-He78)G200-20160331
980 _ _ |a I:(DE-He78)L101-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21