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Proteome- and microarray-based expression analysis of lymphoma cell lines identifies a p53-centered cluster of differentially expressed proteins in mantle cell and follicular lymphoma.
Electrophoresis 28, 4416-4426 (2007)
We used a standardized electrophoresis protocol to identify differentially expressed proteins based on a sample pooling approach comparing three follicular lymphoma and three mantle cell lymphoma-derived cell lines. One hundred and seventy-five consistently differentially expressed proteins were identified out of more than 1600 protein spots per gel. Of these 175 protein spots, 38 of the 41 most highly expressed proteins were identified by MS analysis (MALDI-TOF), involving different cellular programs such as DNA repair (Rad50), cell cycle control (Mad1L1), transcription (SAFB), and apoptosis (Luca-15 protein). Expression data were confirmed by Western blot analysis of identified proteins and 2-D gel hybridization of proteins with known overexpression (G1/S-specific cyclin-D1, apoptosis regulator Bcl-2). Comparison of proteome analysis to RNA expression array data revealed only a modest correlation of RNA and protein level emphasizing the relevance of post-translational regulation in lymphomagenesis (p = 0.36). Most interestingly, additional data bank search identified 13 out of 17 referenced proteins (76%) as members of a TP53-dependent network of cell regulation.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
4.101
0.985
12
15
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Expression networks; Lymphoma; Protein expression; p53
Sprache
englisch
Veröffentlichungsjahr
2007
HGF-Berichtsjahr
2008
ISSN (print) / ISBN
0173-0835
e-ISSN
1522-2683
Zeitschrift
Electrophoresis
Quellenangaben
Band: 28,
Heft: 23,
Seiten: 4416-4426
Verlag
Wiley
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er)
Immune Response and Infection
PSP-Element(e)
G-521000-001
Scopus ID
37149003579
Erfassungsdatum
2008-12-15