Droplet digital PCR is the most robust method for absolute nucleic acid quantification. However, RNA is a very versatile molecule and its abundance is tissue-dependent. RNA quantification is dependent on a reference control to estimate the abundance. Additionally, in cancer, many cellular processes are deregulated which consequently affects the gene expression profiles. In this work, we performed microarray data mining of different childhood cancers and healthy controls. We selected four genes that showed no gene expression variations (, , and ) and four classical reference genes (, , and RPS18). Gene expression was validated in 40 acute lymphoblastic leukemia samples by means of droplet digital PCR. We observed that , , and were expressed ~100 times less than , , and . However, we observed excellent correlations among the new reference genes ( < 0.0001). We propose that , , and are housekeeping genes with low expression in childhood cancer.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562415 | PMC |
| http://dx.doi.org/10.3390/genes10050376 | DOI Listing |
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