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Reference genes for gene expression studies on non-small cell lung cancer.
Author(s) -
Peter Grešner,
Jolanta Gromadzińska,
Wojciech Wąsowicz
Publication year - 2009
Publication title -
acta biochimica polonica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.452
H-Index - 78
eISSN - 1734-154X
pISSN - 0001-527X
DOI - 10.18388/abp.2009_2463
Subject(s) - reference genes , gene , database normalization , gene expression , normalization (sociology) , biology , lung cancer , housekeeping gene , gene expression profiling , real time polymerase chain reaction , glyceraldehyde 3 phosphate dehydrogenase , computational biology , cell , microbiology and biotechnology , genetics , pathology , medicine , computer science , cluster analysis , machine learning , sociology , anthropology
STUDY OBJECTIVEThe aim of this study was to test a panel of 6 reference genes in order to identify and validate the most suitable reference genes for expression studies in paired healthy and non-small cell lung cancer tissues.METHODQuantitative real-time PCR followed by the NormFinder- and geNorm-based analysis was employed. The study involved 21 non-small cell lung cancer patients.RESULTSThe analysis of experimental data revealed HPRT1 as the most stable gene followed by RPLP0 and ESD. In contrast, GAPDH was found to be the least stable gene. HPRT1 together with ESD was revealed as the pair of genes introducing the least systematic error into data normalization. Validation by bootstrap random sampling technique and by normalizing exemplary gene expression data confirmed the results.CONCLUSIONAlthough HPRT1 and ESD may by recommended for data normalization in gene expression studies on non-small cell lung cancer, the suitability of selected reference genes must be unconditionally validated prior to each study.

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