001     286713
005     20241125110039.0
024 7 _ |a 10.1038/s41419-023-06387-7
|2 doi
024 7 _ |a pmid:38182563
|2 pmid
024 7 _ |a pmc:PMC10770341
|2 pmc
024 7 _ |a altmetric:158151293
|2 altmetric
037 _ _ |a DKFZ-2024-00053
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Montero-Vergara, Jetsy
|b 0
245 _ _ |a GRB2 is a BECN1 interacting protein that regulates autophagy.
260 _ _ |a London [u.a.]
|c 2024
|b Nature Publishing Group
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 1704702097_2017
|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 GRB2 is an adaptor protein of HER2 (and several other tyrosine kinases), which we identified as a novel BECN1 (Beclin 1) interacting partner. GRB2 co-immunoprecipitated with BECN1 in several breast cancer cell lines and regulates autophagy through a mechanism involving the modulation of the class III PI3Kinase VPS34 activity. In ovo studies in a CAM (Chicken Chorioallantoic Membrane) model indicated that GRB2 knockdown, as well as overexpression of GRB2 loss-of-function mutants (Y52A and S86A-R88A) compromised tumor growth. These differences in tumor growth correlated with differential autophagy activity, indicating that autophagy effects might be related to the effects on tumorigenesis. Our data highlight a novel function of GRB2 as a BECN1 binding protein and a regulator of autophagy.
536 _ _ |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312)
|0 G:(DE-HGF)POF4-312
|c POF4-312
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
700 1 _ |a Plachetta, Kira
|b 1
700 1 _ |a Kinch, Lisa
|b 2
700 1 _ |a Bernhardt, Stephan
|0 P:(DE-He78)a579c50f194e70e6a847c032c0a5e73b
|b 3
700 1 _ |a Kashyap, Kriti
|b 4
700 1 _ |a Levine, Beth
|b 5
700 1 _ |a Thukral, Lipi
|b 6
700 1 _ |a Vetter, Martina
|0 0000-0002-6642-9585
|b 7
700 1 _ |a Thomssen, Christoph
|b 8
700 1 _ |a Wiemann, Stefan
|0 P:(DE-He78)f6bebe05e7a748d3cbf9f59659567d52
|b 9
|u dkfz
700 1 _ |a Peña-Llopis, Samuel
|0 P:(DE-He78)27e110c11bce41980c004533253cdc78
|b 10
|u dkfz
700 1 _ |a Jendrossek, Verena
|0 0000-0003-1058-2107
|b 11
700 1 _ |a Vega-Rubin-de-Celis, Silvia
|0 0000-0002-4196-8996
|b 12
773 _ _ |a 10.1038/s41419-023-06387-7
|g Vol. 15, no. 1, p. 14
|0 PERI:(DE-600)2541626-1
|n 1
|p 14
|t Cell death & disease
|v 15
|y 2024
|x 2041-4889
856 4 _ |u https://inrepo02.dkfz.de/record/286713/files/s41419-023-06387-7.pdf
856 4 _ |u https://inrepo02.dkfz.de/record/286713/files/s41419-023-06387-7.pdf?subformat=pdfa
|x pdfa
909 C O |o oai:inrepo02.dkfz.de:286713
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)a579c50f194e70e6a847c032c0a5e73b
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)f6bebe05e7a748d3cbf9f59659567d52
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)27e110c11bce41980c004533253cdc78
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-312
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Funktionelle und strukturelle Genomforschung
|x 0
914 1 _ |y 2024
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CELL DEATH DIS : 2022
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-05-02T09:09:09Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-05-02T09:09:09Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-05-02T09:09:09Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2023-05-02T09:09:09Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-26
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-26
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b CELL DEATH DIS : 2022
|d 2023-10-26
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2023-10-26
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2023-10-26
920 1 _ |0 I:(DE-He78)B050-20160331
|k B050
|l B050 Molekulare Genomanalyse
|x 0
920 1 _ |0 I:(DE-He78)ED01-20160331
|k ED01
|l DKTK Koordinierungsstelle Essen/Düsseldorf
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B050-20160331
980 _ _ |a I:(DE-He78)ED01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21