Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA185821PRJNA185826PRJNA185824PRJNA185822PRJNA241314PRJNA185825PRJNA185823PRJNA185827
PROVIDER: EGAO00000000076 | EGA |
REPOSITORIES: EGA
Hezaveh Kebria K Kloetgen Andreas A Bernhart Stephan H SH Mahapatra Kunal Das KD Lenze Dido D Richter Julia J Haake Andrea A Bergmann Anke K AK Brors Benedikt B Burkhardt Birgit B Claviez Alexander A Drexler Hans G HG Eils Roland R Haas Siegfried S Hoffmann Steve S Karsch Dennis D Klapper Wolfram W Kleinheinz Kortine K Korbel Jan J Kretzmer Helene H Kreuz Markus M Küppers Ralf R Lawerenz Chris C Leich Ellen E Loeffler Markus M Mantovani-Loeffler Luisa L López Cristina C McHardy Alice C AC Möller Peter P Rohde Marius M Rosenstiel Philip P Rosenwald Andreas A Schilhabel Markus M Schlesner Matthias M Scholz Ingrid I Stadler Peter F PF Stilgenbauer Stephan S Sungalee Stéphanie S Szczepanowski Monika M Trümper Lorenz L Weniger Marc A MA Siebert Reiner R Borkhardt Arndt A Hummel Michael M Hoell Jessica I JI
Haematologica 20160706 11
MicroRNA are well-established players in post-transcriptional gene regulation. However, information on the effects of microRNA deregulation mainly relies on bioinformatic prediction of potential targets, whereas proof of the direct physical microRNA/target messenger RNA interaction is mostly lacking. Within the International Cancer Genome Consortium Project "Determining Molecular Mechanisms in Malignant Lymphoma by Sequencing", we performed miRnome sequencing from 16 Burkitt lymphomas, 19 diffus ...[more]