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Deep sequencing of the small-RNA transcriptome reveals differenzial expression of microRNAs in high-risk versus low-risk neuroblastoma

J Schulte, T Marschall, M Martin, P Rosenstiel, P Mestdagh, S Schlierf, T Thor, J Vandesompele, A Eggert, S Schreiber, S Rahmann, A Schramm · Klinische Pädiatrie · 2010 · Heft 05

Dokument
1046914
CareLit-ID
Jahr
2010
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Klinische Pädiatrie
Autor:innen
J Schulte, T Marschall, M Martin, P Rosenstiel, P Mestdagh, S Schlierf, T Thor, J Vandesompele, A Eggert, S Schreiber, S Rahmann, A Schramm
Ausgabe
Heft 05 / 2010
Seiten
–
Erschienen: 2010-05-07 00:00:00
ISSN
0300-8630

Zusammenfassung

Small non-coding RNAs, in particular microRNAs, regulate fine-tuning of gene expression in general and can act as oncogenes or tumor suppressor genes. Using next-generation sequencing, the unbiased and absolute quantification of the small-RNA transcriptome is now feasible. We here analyzed the small-RNA transcriptome of five favorable and five unfavorable neuroblastomas using SOLiD next-generation sequencing generating >188,000,000 reads. MiRNA expression profiles obtained by deep sequencing correlated well with real-time PCR data. Favorable and unfavorable neuroblastomas could be separated using cluster analysi…

Schlagworte

Tumor Cluster Analysis Klinische Pädiatrie