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Identification of novel differentially expressed lncRNA and mRNA transcripts in clear cell renal cell carcinoma by expression profiling

Mario Deng, Jasmine J. Blondeau, Doris Schmidt, Sven Perner, Stefan C. Müller, Jörg Ellinger*

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Clear cell renal cell carcinoma (ccRCC) is a common human malignancy. Despite numerous efforts, there is still no reliable biomarker or combination of biomarkers available for daily practice. Our study was designed to explore the expression profile of messenger RNA (mRNA) and long non-coding RNA (lncRNA) transcripts in ccRCC in order to identify potential diagnostic biomarkers for patients with ccRCC. Total RNA from corresponding normal and malignant tissue of 15 patients with ccRCC was isolated. Expression profiling was performed using a custom Agilent gene expression microarray which allowed the analysis of 34,144 mRNA and 32,183 lncRNA transcripts. We observed that a subset of mRNA (n = 1064; 3.1%) and lncRNA (n = 1308; 4.1%) transcripts are dysregulated (fold change > 2) in ccRCC tissue. The relative higher number of differentially expressed lncRNAs indicates that lncRNA profiling may be better suited for diagnostic purposes; a number of so far unknown RNAs with potential diagnostic interest in ccRCC are identified by our gene expression profiling study. The data are deposited in the Gene Expression Omnibus (GSE61763).

OriginalspracheEnglisch
ZeitschriftGenomics Data
Jahrgang5
Seiten (von - bis)173-175
Seitenumfang3
ISSN2213-5960
DOIs
PublikationsstatusVeröffentlicht - 01.09.2015

Fördermittel

The tissue samples were collected within the framework of the Center for Integrated Oncology CIO Köln Bonn; the CIO is supported by the German Cancer Aid . This work was supported by a grant of the Rudolf Becker Foundation to Sven Perner.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

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