Measuring messenger RNA (mRNA) levels using the reverse transcription quantitative polymerase chain reaction (RT-qPCR) is common practice in many laboratories. A specific set of mRNAs as internal control reference genes is considered as the preferred strategy to normalize RT-qPCR data. Proper selection of reference genes is a critical issue, especially in cancer cells that are subjected to different in vitro manipulations. These manipulations may result in dramatic alterations in gene expression levels, even of assumed reference genes. In this study, we evaluated the expression levels of 11 commonly used reference genes as internal controls for normalization of 19 experiments that include neuroblastoma, T-ALL, melanoma, breast cancer, non small cell lung cancer (NSCL), acute myeloid leukemia (AML), prostate cancer, colorectal cancer, and cervical cancer cell lines subjected to various perturbations.The geNorm algorithm in the software package qbase+ was used to rank the candidate reference genes according to their expression stability. We observed that the stability of most of the candidate reference genes varies greatly in perturbation experiments. Expressed Alu repeats show relatively stable expression regardless of experimental condition. These Alu repeats are ranked among the best reference assays in all perturbation experiments and display acceptable average expression stability values (M<0.5).We propose the use of Alu repeats as a reference assay when performing cancer cell perturbation experiments.
Recent studies have unveiled copy number variants (CNVs) as an important source of genetic variation. Many of these CNVs contain coding sequences, which have been shown to be dosage sensitive. Evidence is accumulating that certain CNVs have impact on susceptibility to human diseases such as HIV infection and autoimmune diseases, as well as on adaptability to environmental conditions or nutrition. The possible role and impact of CNVs on cancer development and progression is only now emerging. In this review we look into the role of CNVs and their associated genomic structural features in relation to the formation of chromosome alterations in cancer cells and evolutionary genomic plasticity, as well as the de novo occurrence of known or putative CNVs as somatic events during oncogenesis. The role of germline CNVs in cancer predisposition is still largely unexplored. A number of observations seem to warrant the importance of further studies to elucidate the impact of these variants in the early steps of carcinogenesis.
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