001     278728
005     20240229155037.0
024 7 _ |a 10.15252/embj.2022112507
|2 doi
024 7 _ |a pmid:37609797
|2 pmid
024 7 _ |a 0261-4189
|2 ISSN
024 7 _ |a 1460-2075
|2 ISSN
024 7 _ |a altmetric:153254605
|2 altmetric
037 _ _ |a DKFZ-2023-01699
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Cirzi, Cansu
|0 P:(DE-He78)20f58a8a4fd3f952730ed9580f66f7fc
|b 0
|e First author
245 _ _ |a Queuosine-tRNA promotes sex-dependent learning and memory formation by maintaining codon-biased translation elongation speed.
260 _ _ |a Hoboken, NJ [u.a.]
|c 2023
|b Wiley
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 1698323063_31146
|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
500 _ _ |a #EA:A130#LA:A130# / DKFZ-ZMBH Alliance / 2023 Oct 4;42(19):e112507
520 _ _ |a Queuosine (Q) is a modified nucleoside at the wobble position of specific tRNAs. In mammals, queuosinylation is facilitated by queuine uptake from the gut microbiota and is introduced into tRNA by the QTRT1-QTRT2 enzyme complex. By establishing a Qtrt1 knockout mouse model, we discovered that the loss of Q-tRNA leads to learning and memory deficits. Ribo-Seq analysis in the hippocampus of Qtrt1-deficient mice revealed not only stalling of ribosomes on Q-decoded codons, but also a global imbalance in translation elongation speed between codons that engage in weak and strong interactions with their cognate anticodons. While Q-dependent molecular and behavioral phenotypes were identified in both sexes, female mice were affected more severely than males. Proteomics analysis confirmed deregulation of synaptogenesis and neuronal morphology. Together, our findings provide a link between tRNA modification and brain functions and reveal an unexpected role of protein synthesis in sex-dependent cognitive performance.
536 _ _ |a 311 - Zellbiologie und Tumorbiologie (POF4-311)
|0 G:(DE-HGF)POF4-311
|c POF4-311
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a learning and memory
|2 Other
650 _ 7 |a protein translation
|2 Other
650 _ 7 |a queuosine
|2 Other
650 _ 7 |a sex bias
|2 Other
650 _ 7 |a tRNA modifications
|2 Other
700 1 _ |a Dyckow, Julia
|0 0000-0003-1423-9322
|b 1
700 1 _ |a Legrand, Carine
|0 P:(DE-He78)3b25531d07b6165b81f5fbacf640759c
|b 2
700 1 _ |a Schott, Johanna
|b 3
700 1 _ |a Guo, Wei
|0 0009-0009-1463-3099
|b 4
700 1 _ |a Perez Hernandez, Daniel
|0 0000-0003-0266-9050
|b 5
700 1 _ |a Hisaoka, Miharu
|b 6
700 1 _ |a Parlato, Rosanna
|0 0000-0001-6682-9645
|b 7
700 1 _ |a Pitzer, Claudia
|0 0000-0002-7663-1031
|b 8
700 1 _ |a van der Hoeven, Franciscus
|0 P:(DE-He78)db41d10e17712fc21628c50a14f4d507
|b 9
|u dkfz
700 1 _ |a Dittmar, Gunnar
|0 0000-0003-3647-8623
|b 10
700 1 _ |a Helm, Mark
|0 0000-0002-0154-0928
|b 11
700 1 _ |a Stoecklin, Georg
|0 0000-0001-9284-9834
|b 12
700 1 _ |a Schirmer, Lucas
|0 0000-0001-7142-4116
|b 13
700 1 _ |a Lyko, Frank
|0 P:(DE-He78)a8d53a8cdc716390a6cbacdead227143
|b 14
|u dkfz
700 1 _ |a Tuorto, Francesca
|0 P:(DE-He78)93d163dbfed1c057437cbe97439bba99
|b 15
|e Last author
773 _ _ |a 10.15252/embj.2022112507
|g p. e112507
|0 PERI:(DE-600)1467419-1
|n 19
|p e112507
|t The EMBO journal
|v 42
|y 2023
|x 0261-4189
909 C O |p VDB
|o oai:inrepo02.dkfz.de:278728
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)20f58a8a4fd3f952730ed9580f66f7fc
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)3b25531d07b6165b81f5fbacf640759c
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)db41d10e17712fc21628c50a14f4d507
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-He78)a8d53a8cdc716390a6cbacdead227143
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 15
|6 P:(DE-He78)93d163dbfed1c057437cbe97439bba99
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-311
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Zellbiologie und Tumorbiologie
|x 0
914 1 _ |y 2023
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2022-11-12
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-12
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-08-24
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EMBO J : 2022
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-08-24
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-08-24
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b EMBO J : 2022
|d 2023-08-24
920 2 _ |0 I:(DE-He78)A130-20160331
|k A130
|l A130 Epigenetik
|x 0
920 1 _ |0 I:(DE-He78)A130-20160331
|k A130
|l A130 Epigenetik
|x 0
920 1 _ |0 I:(DE-He78)W450-20160331
|k W450
|l Gruppe van der Hoeven
|x 1
920 0 _ |0 I:(DE-He78)A130-20160331
|k A130
|l A130 Epigenetik
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)A130-20160331
980 _ _ |a I:(DE-He78)W450-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21