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Müller, S.* ; Raulefs, S.* ; Bruns, P.* ; Afonso-Grunz, F.* ; Plötner, A.* ; Thermann, R.* ; Jager, C.* ; Schlitter, A.M.* ; Kong, B.* ; Regel, I.* ; Roth, W.K.* ; Rotter, B.* ; Hoffmeier, K.* ; Kahl, G.F.* ; Koch, I.* ; Theis, F.J. ; Kleeff, J.* ; Winter, P.* ; Michalski, C.W.*

Next-generation sequencing reveals novel differentially regulated mRNAs, lncRNAs, miRNAs, sdRNAs and a piRNA in pancreatic cancer.

Mol. Cancer 14:94 (2015)
Verlagsversion Erratum DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
BACKGROUND: Previous studies identified microRNAs (miRNAs) and messenger RNAs with significantly different expression between normal pancreas and pancreatic cancer (PDAC) tissues. Due to technological limitations of microarrays and real-time PCR systems these studies focused on a fixed set of targets. Expression of other RNA classes such as long intergenic non-coding RNAs or sno-derived RNAs has rarely been examined in pancreatic cancer. Here, we analysed the coding and non-coding transcriptome of six PDAC and five control tissues using next-generation sequencing. RESULTS: Besides the confirmation of several deregulated mRNAs and miRNAs, miRNAs without previous implication in PDAC were detected: miR-802, miR-2114 or miR-561. SnoRNA-derived RNAs (e.g. sno-HBII-296B) and piR-017061, a piwi-interacting RNA, were found to be differentially expressed between PDAC and control tissues. In silico target analysis of miR-802 revealed potential binding sites in the 3' UTR of TCF4, encoding a transcription factor that controls Wnt-signalling genes. Overexpression of miR-802 in MiaPaCa pancreatic cancer cells reduced TCF4 protein levels. Using Massive Analysis of cDNA Ends (MACE) we identified differential expression of 43 lincRNAs, long intergenic non-coding RNAs, e.g. LINC00261 and LINC00152 as well as several natural antisense transcripts like HNF1A-AS1 and AFAP1-AS1. Differential expression was confirmed by qPCR on the mRNA/miRNA/lincRNA level and by immunhistochemistry on the protein level. CONCLUSIONS: Here, we report a novel lncRNA, sncRNA and mRNA signature of PDAC. In silico prediction of ncRNA targets allowed for assigning potential functions to differentially regulated RNAs.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter 3'utr ; Long Non-coding Rna ; Mace ; Mirna ; Next-generation Sequencing ; Pancreatic Cancer ; Tcf4 ; Wnt Signalling ; Zeb1; Long Noncoding Rna; Gastric-cancer; Ductal Adenocarcinoma; Esophageal Adenocarcinoma; Hepatocellular-carcinoma; Interaction Networks; Expression Analysis; Cells; Database; Gene
Sprache englisch
Veröffentlichungsjahr 2015
HGF-Berichtsjahr 2015
e-ISSN 1476-4598
Zeitschrift Molecular Cancer
Quellenangaben Band: 14, Heft: 1, Seiten: , Artikelnummer: 94 Supplement: ,
Verlag BioMed Central
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
PubMed ID 25910082
DOI 10.1186/s12943-015-0358-5
WOS ID WOS:000353756400001
Scopus ID 84928818841
Erfassungsdatum 2015-04-26
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