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Conserved expression signatures between medaka and human pigment cell tumors

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-75848
  • Aberrations in gene expression are a hallmark of cancer cells. Differential tumor-specific transcript levels of single genes or whole sets of genes may be critical for the neoplastic phenotype and important for therapeutic considerations or useful as biomarkers. As an approach to filter out such relevant expression differences from the plethora of changes noted in global expression profiling studies, we searched for changes of gene expression levels that are conserved. Transcriptomes from massive parallel sequencing of different types ofAberrations in gene expression are a hallmark of cancer cells. Differential tumor-specific transcript levels of single genes or whole sets of genes may be critical for the neoplastic phenotype and important for therapeutic considerations or useful as biomarkers. As an approach to filter out such relevant expression differences from the plethora of changes noted in global expression profiling studies, we searched for changes of gene expression levels that are conserved. Transcriptomes from massive parallel sequencing of different types of melanoma from medaka were generated and compared to microarray datasets from zebrafish and human melanoma. This revealed molecular conservation at various levels between fish models and human tumors providing a useful strategy for identifying expression signatures strongly associated with disease phenotypes and uncovering new melanoma molecules.zeige mehrzeige weniger

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Metadaten
Autor(en): Manfred Schartl, Susanne Kneitz, Brigitta Wilde, Toni Wagner, Christiaan V. Henkel, Hermann P. Spaink, Svenja Meierjohann
URN:urn:nbn:de:bvb:20-opus-75848
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Theodor-Boveri-Institut für Biowissenschaften
Sprache der Veröffentlichung:Englisch
Erscheinungsjahr:2012
Originalveröffentlichung / Quelle:In: PLoS One (2012) 7: 5, doi:10.1371/journal.pone.0037880
Allgemeine fachliche Zuordnung (DDC-Klassifikation):5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Normierte Schlagworte (GND):Biologie
Datum der Freischaltung:15.04.2013
Sammlungen:Open-Access-Publikationsfonds / Förderzeitraum 2012
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung