[
1. Ornoy A and Ergaz Z. Alcohol abuse in pregnant women: effects on the fetus and newborn, mode of action and maternal treatment. Int J Environ Res Public Health, 2010, 7, 364-379.10.3390/ijerph7020364
]Search in Google Scholar
[
2. Аbrahao K, Salinas A, Lovinger D. Alcohol and the Brain: Neuronal Molecular Targets, Synapses, and Circuits. Neuron, 2017, 96(6), 1223-1238.10.1016/j.neuron.2017.10.032
]Search in Google Scholar
[
3. Bustin SA. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol, 2000, 25, 169-193.10.1677/jme.0.0250169
]Search in Google Scholar
[
4. Chervoneva I, Li Y, Schulz S et al. Selection of optimal reference genes for normalization in quantitative RT-PCR. BMC Bioinformatics, 2010, 11, 253.10.1186/1471-2105-11-253
]Search in Google Scholar
[
5. Radonić A, Thulke S, Mackay M et al. Guideline to reference gene selection for quantitative real-time PCR. Biochem Biophys Res Commun, 2004, 313(4), 856-62.10.1016/j.bbrc.2003.11.177
]Search in Google Scholar
[
6. Garcia-Vallejo J, Hof B, Robben J et al. Approach for defining endogenous reference genes in gene expression experiments. Analytical biochemistry, 2004, 329(2), 293-299.10.1016/j.ab.2004.02.037
]Search in Google Scholar
[
7. Gutierrez L et al. The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants. Plant Biotechnol J. 2008, 6, 609-618.10.1111/j.1467-7652.2008.00346.x
]Search in Google Scholar
[
8. Marouf A, Van Bockstaele E, De Loose M. Validation of reference genes for gene expression analysis in chicory (Cichorium intybus) using quantitative real-time PCR. BMC Mol Biol. 2010, 11, 15.10.1186/1471-2199-11-15
]Search in Google Scholar
[
9. Janská A, Hodek J, Svoboda P et al. The choice of reference gene set for assessing gene expression in barley (Hordeum vulgare L.) under low temperature and drought stress. Mol Genet Genomics, 2013, 288, 639–649.10.1007/s00438-013-0774-4
]Search in Google Scholar
[
10. Robert C, McGraw S, Massicotte L et al. Quantification of Housekeeping Transcript Levels During the Development of Bovine Preimplantation Embryos. Biology of reproduction, 2002, 67, 1465-1472.10.1095/biolreprod.102.006320
]Search in Google Scholar
[
11. Cale M, Millican S, Itoh H et al. Pregnancy induces an increase in the expression of glyceraldehydes – 3 – phosphate dehydrogenase in uterine artery endothelial cells. J Soc Gynecol Invest, 1997, 4, 284-292.10.1016/S1071-5576(97)00067-1
]Search in Google Scholar
[
12. Calvo EL, Boucher C, Coulombe Z, Morisset J. Pancreatic Gapdh gene expression during ontogeny and acute pancreatitis induced by caerulein. Biochem Bioph Res, 1997, 235, 636-640.10.1006/bbrc.1997.6716
]Search in Google Scholar
[
13. Suzuki T, Paul J, Crawford H, Crawford D. Control Selection for RNA Quantitation. BioTechniques, 2000, 29, 332-337.10.2144/00292rv02
]Search in Google Scholar
[
14. Ou M, Stockmeier A, Meltzer Y et al. A novel role for glyceraldehyde-3-phosphate dehydrogenase and monoamine oxidase B cascade in ethanol-induced cellular damage. Biol Psychiatry, 2009, 67(9), 855-863.10.1016/j.biopsych.2009.10.032
]Search in Google Scholar
[
15. Taseva T, Koycheva Y, Olova N. Elevated Igf2 expression and enhanced mouse blastocyst development following in vitro exposure to ethanol. Genetics and Plant Physiology, 2017, 7(3-4), 195-206.
]Search in Google Scholar
[
16. Padmanabhan R, Hameed M. Effects of acute doses of ethanoladministered at pre-implantation stages on fetal development in themouse. Drug Alcohol Depend, 1988, 22, 91-100.10.1016/0376-8716(88)90042-7
]Search in Google Scholar
[
17. Taseva T, Koycheva Y, Olova N. Differential effects on mouse embryonal and placental imprinted H19 expression following ethanol exposure during implantation. Scientific works of the Union of Scientists in Bulgaria, Plovdiv, 2019, series G, ХХII, 282-285.10.7546/CRABS.2019.12.09
]Search in Google Scholar
[
18. Kharroubi A, Piras G, Stewart C. DNA Demethylation Reactivates a Subset of Imprinted Genes in Uniparental Mouse Embryonic Fibroblasts. Journal of biological chemistry, 2001, 276 (12), 8674-8680.10.1074/jbc.M00939220011124954
]Search in Google Scholar
[
19. Bohn E, Heesemann L, Ehlers S. Early gamma interferon mRNA expression is associated with resistance of mice against Yersinia enterocolitica. Autenrieth Infection and Immunity, 1994, 3027-3032.10.1128/iai.62.7.3027-3032.19943029178005693
]Search in Google Scholar
[
20. Kala R, Shah H, Martin S, Tollefsbol T. Epigenetic-based combinatorial resveratrol and pterostilbene alters DNA damage response by affecting SIRT1 and DNMT enzyme expression, including SIRT1-dependent γ-H2AX and telomerase regulation in triple-negative breast cancer. BMC Cancer, 2015, 15, 672.10.1186/s12885-015-1693-z460334226459286
]Search in Google Scholar
[
21. Gandhiraja R, Jain M, Walla B et al. Cysteine S-Glutathionylation Promotes Stability andmActivation of the Hippo Downstream Effector Transcriptional Co-activator with PDZ-binding Motif (TAZ). J Biol Chem, 2016, 291, 22, 11596–11607.10.1074/jbc.M115.712539488243027048650
]Search in Google Scholar
[
22. Cavalcanti C, Failling K, Schuppe C et al. Validation of reference genes in human testis and ejaculate. Andrologia, 2011, 43, 361-367.10.1111/j.1439-0272.2010.01076.x21714797
]Search in Google Scholar
[
23. Pfaffl M, Horgan G, Dempfle L. Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res, 2002, 30(9), e36.10.1093/nar/30.9.e3611385911972351
]Search in Google Scholar
[
24. Xie F, Xiao P, Chen D et al. miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs. Plant molecular biology, 2012, 80 (1), 75-84.10.1007/s11103-012-9885-222290409
]Search in Google Scholar
[
25. Andersen C, Jensen J, Orntoft T. 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., 2004, 64, 5245–5250.10.1158/0008-5472.CAN-04-049615289330
]Search in Google Scholar
[
26. Gu Y, Shen X, Zhou D et al. Selection and expression profiles of reference genes in mouse preimplantation embryos of different ploidies at various developmental stages, PLOS ONE, 2014, 9, 6.10.1371/journal.pone.0098956405715624927500
]Search in Google Scholar
[
27. Boujedidi H et al. Housekeeping Gene Variability in the Liver of Alcoholic Patients. Alcoholism. Clin Expl Res, 2010, 36, 2, 258-266.10.1111/j.1530-0277.2011.01627.x21913943
]Search in Google Scholar