Toward the blood-borne miRNome of human diseases.

Institut für Klinische Molekularbiologie der Christian-Albrechts-Universität zu Kiel

Authors:
Andreas Keller, Petra Leidinger, Andrea Bauer, Abdou Elsharawy, Jan Haas, Christina Backes, Anke Wendschlag, Nathalia Giese, Christine Tjaden, Katja Ott, Jens Werner, Thilo Hackert, Klemens Ruprecht, Hanno Huwer, Junko Huebers, Gunnar Jacobs, Philip Rosenstiel, Henrik Dommisch, Arne Schaefer, Joachim Müller-Quernheim, Bernd Wullich, Bastian Keck, Norbert Graf, Joerg Reichrath, Britta Vogel, Almut Nebel, Sven U Jager, Peer Staehler, Ioannis Amarantos, Valesca Boisguerin, Cord Staehler, Markus Beier, Matthias Scheffler, Markus W Büchler, Joerg Wischhusen, Sebastian F M Haeusler, Johannes Dietl, Sylvia Hofmann, Hans-Peter Lenhof, Stefan Schreiber, Hugo A Katus, Wolfgang Rottbauer, Benjamin Meder, Joerg D Hoheisel, Andre Franke, Eckart Meese
Year of publication:
2011
Volume:
8
Issue:
10
Issn:
1548-7091
Journal title abbreviated:
NAT METHODS
Journal title long:
Nature methods
Impact factor:
47.990
Pubmed:
PubMed (PMID: 21892151)
Abstract:
In a multicenter study, we determined the expression profiles of 863 microRNAs by array analysis of 454 blood samples from human individuals with different cancers or noncancer diseases, and validated this ''miRNome'' by quantitative real-time PCR. We detected consistently deregulated profiles for all tested diseases; pathway analysis confirmed disease association of the respective microRNAs. We observed significant correlations (P = 0.004) between the genomic location of disease-associated genetic variants and deregulated microRNAs.