Lung cancer is a common cancer, and expression profiling can provide an accurate indication to advance the medical intervention. However, this requires the availability of stably expressed genes as reference. Recent studies had shown that genes that are stably expressed in a tissue may not be stably expressed in other tissues suggesting the need to identify stably expressed genes in each tissue for use as reference genes. DNA microarray analysis has been used to identify those reference genes with low fluctuation. Fourteen datasets with different lung conditions were employed in our study. Coefficient of variance, followed by NormFinder, was used to identify stably expressed genes. Our results showed that classical reference genes such as GAPDH and HPRT1 were highly variable; thus, they are unsuitable as reference genes. Signal peptidase complex subunit 1 (SPCS1) and hydroxyacyl-CoA dehydrogenase beta subunit (HADHB), which are involved in fundamental biochemical processes, demonstrated high expression stability suggesting their suitability in human lung cell profiling.
Keyphrases
- genome wide
- genome wide identification
- bioinformatics analysis
- randomized controlled trial
- healthcare
- genome wide analysis
- dna methylation
- single cell
- endothelial cells
- magnetic resonance imaging
- stem cells
- transcription factor
- poor prognosis
- magnetic resonance
- computed tomography
- young adults
- high resolution
- cell therapy
- long non coding rna
- protein kinase
- diffusion weighted imaging