S. A. Bustin, Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays, Journal of Molecular Endocrinology, 2000.

O. Thellin, W. Zorzi, B. Lakaye, D. Borman, B. Coumans et al., Housekeeping genes as internal standards: use and limits, Journal of Biotechnology, 1999.

B. Kozera and M. Rapacz, Reference genes in real-time PCR, J Appl Genet, vol.54, p.24078518, 2013.

K. Dheda, J. F. Huggett, J. S. Chang, L. U. Kim, S. A. Bustin et al., The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization, Anal Biochem, vol.344, p.16054107, 2005.

J. M. Lee, J. R. Roche, D. J. Donaghy, A. Thrush, and P. Sathish, Validation of reference genes for quantitative RT-PCR studies of gene expression in perennial ryegrass (Lolium perenne L.), BMC Mol Biol. BioMed Central, vol.11, 2010.

K. Langnaese, R. John, H. Schweizer, U. Ebmeyer, and G. Keilhoff, Selection of reference genes for quantitative real-time PCR in a rat asphyxial cardiac arrest model, BMC Mol Biol. BioMed Central, vol.9, p.18505597, 2008.

G. Spinsanti, C. Panti, D. Bucalossi, L. Marsili, S. Casini et al., Selection of reliable reference genes for qRT-PCR studies on cetacean fibroblast cultures exposed to OCs, PBDEs, p.17

, Aquat Toxicol, vol.87, p.18339435, 2008.

T. T. Cheung, M. K. Weston, and M. J. Wilson, Selection and evaluation of reference genes for analysis of mouse (Mus musculus) sex-dimorphic brain development, PeerJ. PeerJ, Inc, vol.5, p.28133578, 2017.

D. Freitag, A. Koch, L. Mclean, A. Kalff, R. Walter et al., Validation of Reference Genes for Expression Studies in Human Meningiomas under Different Experimental Settings, Mol Neurobiol. Molecular Neurobiology, pp.1-11, 2017.

F. Xie, P. Xiao, D. Chen, L. Xu, and B. Zhang, miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs, Plant Mol Biol. Springer Netherlands, vol.80, pp.75-84, 2012.

L. J. Perez, L. Rios, P. Trivedi, D. Souza, K. Cowie et al., Validation of optimal reference genes for quantitative real time PCR in muscle and adipose tissue for obesity and diabetes research. Sci Rep, vol.7, p.28620170, 2017.

Y. Kang, Z. Wu, D. Cai, and B. Lu, Evaluation of reference genes for gene expression studies in mouse and N2a cell ischemic stroke models using quantitative real-time PCR, BMC Neurosci. BioMed Central, vol.19, p.29390963, 2018.

R. Rydbirk, J. Folke, K. Winge, S. Aznar, B. Pakkenberg et al., Assessment of brain reference genes for RT-qPCR studies in neurodegenerative diseases. Sci Rep, vol.6, p.27853238, 2016.

I. Mallona, S. Lischewski, J. Weiss, B. Hause, and M. Egea-cortines, Validation of reference genes for quantitative real-time PCR during leaf and flower development in Petunia hybrida, BMC Plant Biol. BioMed Central, vol.10, 2010.

Y. Fu, Z. Rusznák, S. Herculano-houzel, C. Watson, and G. Paxinos, Cellular composition characterizing postnatal development and maturation of the mouse brain and spinal cord, Brain Struct Funct. Springer Berlin Heidelberg, vol.218, p.23052551, 2013.

E. G. Hughes and B. Appel, The cell biology of CNS myelination, Curr Opin Neurobiol, vol.39, p.27152449, 2016.

K. K. Bercury and W. B. Macklin, Dynamics and mechanisms of CNS myelination, Dev Cell. Elsevier, vol.32, p.25710531, 2015.

J. Vandesompele, D. Preter, K. Pattyn, F. Poppe, B. Van-roy et al., Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

, Genome Biol, vol.3, p.12184808, 2002.

C. Andersen, J. Jensen, and T. Orntoft, Normalization of Real -Time Quantitative Reverse Transcription -PCR Data: A Model -Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets, Cancer Res, vol.64, p.5245, 2004.

E. Boda, A. Pini, E. Hoxha, R. Parolisi, and F. Tempia, Selection of Reference Genes for Quantitative Realtime RT-PCR Studies in Mouse Brain, J Mol Neurosci, vol.37, p.18607772, 2009.

N. Silver, S. Best, J. Jiang, and S. L. Thein, BMC Molecular Biology Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR, 2006.

W. De-spiegelaere, J. Dern-wieloch, R. Weigel, V. Schumacher, H. Schorle et al., Reference gene validation for RT-qPCR, a note on different available software packages, PLoS One, vol.10, p.25825906, 2015.

S. A. Bustin, V. Benes, J. A. Garson, J. Hellemans, J. Huggett et al., The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments, p.19246619, 2009.

E. Eisenberg and E. Y. Levanon, Human housekeeping genes, revisited, Trends Genet. Elsevier, vol.29, p.23810203, 2013.

V. Hoang, L. N. Tom, X. Quek, J. Tan, E. J. Payne et al., RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers, PeerJ. PeerJ, Inc, vol.5, p.28852586, 2017.

Z. Zhou, P. Cong, Y. Tian, and Y. Zhu, Using RNA-seq data to select reference genes for normalizing gene expression in apple roots, p.28934340

M. W. Pfaffl, A. Tichopad, C. Prgomet, and T. P. Neuvians, Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper-Excel-based tool using pair-wise correlations, Biotechnol Lett, vol.26, p.15127793, 2004.

F. Jacob, R. Guertler, S. Naim, S. Nixdorf, A. Fedier et al., Careful Selection of Reference Genes Is Required for Reliable Performance of RT-qPCR in Human Normal and Cancer Cell Lines

, PLoS One. Public Library of Science, vol.8, p.23554992, 2013.

J. R. Perkins, J. M. Dawes, S. B. Mcmahon, D. Bennett, C. Orengo et al., ReadqPCR and NormqPCR: R packages for the reading, quality checking and normalisation of RT-qPCR quantification cycle (Cq) data, BMC Genomics, vol.13, p.22748112, 2012.

T. D. Schmittgen and K. J. Livak, Analyzing real-time PCR data by the comparative C(T) method, Nat Protoc, vol.3, p.18546601, 2008.

K. J. Livak and T. D. Schmittgen, Analysis of relative gene expression data using real-time quantitative PCR and the 2^-??CT Method, Methods, vol.25, p.11846609, 2001.