001     126835
005     20240228135027.0
024 7 _ |a 10.1016/j.jtbi.2014.03.028
|2 doi
024 7 _ |a pmid:24685888
|2 pmid
024 7 _ |a 0022-5193
|2 ISSN
024 7 _ |a 1095-8541
|2 ISSN
037 _ _ |a DKFZ-2017-02863
041 _ _ |a eng
082 _ _ |a 570
100 1 _ |a Kawka, Joanna
|b 0
245 _ _ |a Revealing the role of SGK1 in the dynamics of medulloblastoma using a mathematical model.
260 _ _ |a London
|c 2014
|b Academic Press
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 1505908898_22109
|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 Deregulation of signaling pathways and subsequent abnormal interactions of downstream genes very often results in carcinogenesis. In this paper, we propose a two-compartment model describing intricate dynamics of the target genes of the Wnt signaling pathway in medulloblastoma. The system of nine nonlinear ordinary differential equations accounts for the formation and dissociation of complexes as well as for the transcription, translation and transport between the cytoplasm and the nucleus. We focus on the interplay between MYC and SGK1 (serum and glucocorticoid-inducible kinase 1), which are the products of Wnt/β-catenin signaling pathway, and GSK3β (glycogen synthase kinase). Numerical simulations of the model solutions yield a better understanding of the process and indicate the importance of the SGK1 gene in the development of medulloblastoma, which has been confirmed in our recent experiments. The model is calibrated based on the gene expression microarray data for two types of medulloblastoma, characterized by monosomy and trisomy of chromosome 6q to highlight the difference between diagnoses.
536 _ _ |a 312 - Functional and structural genomics (POF3-312)
|0 G:(DE-HGF)POF3-312
|c POF3-312
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 7 |a Immediate-Early Proteins
|2 NLM Chemicals
650 _ 7 |a MYC protein, human
|2 NLM Chemicals
650 _ 7 |a Proto-Oncogene Proteins c-myc
|2 NLM Chemicals
650 _ 7 |a Protein-Serine-Threonine Kinases
|0 EC 2.7.11.1
|2 NLM Chemicals
650 _ 7 |a serum-glucocorticoid regulated kinase
|0 EC 2.7.11.1
|2 NLM Chemicals
700 1 _ |a Sturm, Dominik
|0 P:(DE-He78)a46a5b2a871859c8e2d63d2f8c666807
|b 1
|u dkfz
700 1 _ |a Pleier, Sabrina
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Pfister, Stefan
|0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
|b 3
|u dkfz
700 1 _ |a Marciniak-Czochra, Anna
|b 4
773 _ _ |a 10.1016/j.jtbi.2014.03.028
|g Vol. 354, p. 105 - 112
|0 PERI:(DE-600)1470953-3
|p 105 - 112
|t Journal of theoretical biology
|v 354
|y 2014
|x 0022-5193
909 C O |o oai:inrepo02.dkfz.de:126835
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)a46a5b2a871859c8e2d63d2f8c666807
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 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-312
|2 G:(DE-HGF)POF3-300
|v Functional and structural genomics
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2014
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
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 THEOR BIOL : 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)1040
|2 StatID
|b Zoological Record
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)B062-20160331
|k B062
|l Pädiatrische Neuroonkologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B062-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21