Home > Publications database > GRB2 is a BECN1 interacting protein that regulates autophagy. > print |
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 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|