Genomic imprinting is an epigenetic phenomenon that causes a differential expression of paternally and maternally inherited alleles of a subset of genes (the so-called imprinted genes). Imprinted genes are distributed throughout the genome and it is predicted that about 1% of the human genes may be imprinted. It is recognized that the allelic expression of imprinted genes varies between tissues and developmental stages. The current study represents the first attempt to estimate a prevalence of imprinted genes within the total human transcriptome. In silico analysis of the normalized expression profiles of a comprehensive panel of 173 established and candidate human imprinted genes was performed, in 492 publicly available SAGE libraries. The latter represent human cell and tissue samples in a variety of physiological and pathological conditions. Variations in the prevalence of imprinted genes within the total transcriptomes (ranging from 0.08% to 4.36%) and expression profiles of the individual imprinted genes are assessed. This paper thus provides a useful reference on the size of the imprinted transcriptome and expression of the individual imprinted genes. 1. Introduction Genomic imprinting is an epigenetic phenomenon that causes a differential expression of paternally and maternally inherited alleles of a minor subset of genes (the so-called imprinted genes). Genomic imprinting was first discovered in 1984 [1, 2], and in 1991 the first imprinted genes (IGF2, paternally expressed; IGF2R and H19, maternally expressed) were identified in the mouse [3–5]. Since then, the imprinting status was confirmed for numerous genes in Homo sapiens and Mus musculus genomes, less for Bos taurus, Rattus norvegicus, Sus scrofa, Canis lupus familiaris, and Ovis aries; many more genes are considered candidates [6]. Functional significance of the genomic imprinting is not yet fully understood [7–9], while alterations in the expression of imprinted genes are linked to certain pathologies, including Angelman syndrome, Prader-Willi syndrome, and particular cancer subtypes. Genomic imprinting varies between species and tissues. Furthermore, it is a dynamic process and may vary depending on the developmental stage [10]. The goal of the study was to estimate a prevalence of imprinted genes within the total human transcriptome, in cell and tissue samples in a variety of physiological and pathological conditions. Serial analysis of gene expression (SAGE) is a sequence-based technique to study mRNA transcripts quantitatively in cell populations [11]. Two major principles underline
References
[1]
J. McGrath and D. Solter, “Completion of mouse embryogenesis requires both the maternal and paternal genomes,” Cell, vol. 37, no. 1, pp. 179–183, 1984.
[2]
M. A. H. Surani, S. C. Barton, and M. L. Norris, “Development of reconstituted mouse eggs suggests imprinting of the genome during gametogenesis,” Nature, vol. 308, no. 5959, pp. 548–550, 1984.
[3]
M. S. Bartolomei, S. Zemel, and S. M. Tilghman, “Parental imprinting of the mouse H19 gene,” Nature, vol. 351, no. 6322, pp. 153–155, 1991.
[4]
D. P. Barlow, R. Stoger, B. G. Herrmann, K. Saito, and N. Schweifer, “The mouse insulin-like growth factor type-2 receptor is imprinted and closely linked to the Tme locus,” Nature, vol. 349, no. 6304, pp. 84–87, 1991.
[5]
T. M. DeChiara, E. J. Robertson, and A. Efstratiadis, “Parental imprinting of the mouse insulin-like growth factor II gene,” Cell, vol. 64, no. 4, pp. 849–859, 1991.
[6]
P. P. Luedi, F. S. Dietrich, J. R. Weidman, J. M. Bosko, R. L. Jirtle, and A. J. Hartemink, “Computational and experimental identification of novel human imprinted genes,” Genome Research, vol. 17, no. 12, pp. 1723–1730, 2007.
[7]
D. Lucifero, J. R. Chaillet, and J. M. Trasler, “Potential significance of genomic imprinting defects for reproduction and assisted reproductive technology,” Human Reproduction Update, vol. 10, no. 1, pp. 3–18, 2004.
[8]
I. M. Morison, J. P. Ramsay, and H. G. Spencer, “A census of mammalian imprinting,” Trends in Genetics, vol. 21, no. 8, pp. 457–465, 2005.
[9]
G. Moore and R. Oakey, “The role of imprinted genes in humans,” Genome Biology, vol. 12, no. 3, article 106, 2011.
[10]
W. Reik and J. Walter, “Genomic imprinting: parental influence on the genome,” Nature Reviews Genetics, vol. 2, no. 1, pp. 21–32, 2001.
[11]
V. E. Velculescu, L. Zhang, B. Vogelstein, and K. W. Kinzler, “Serial analysis of gene expression,” Science, vol. 270, no. 5235, pp. 484–487, 1995.
[12]
A. Lal, A. E. Lash, S. F. Altschul et al., “A public database for gene expression in human cancers,” Cancer Research, vol. 59, no. 21, pp. 5403–5407, 1999.
[13]
A. E. Lash, C. M. Tolstoshev, L. Wagner et al., “SAGEmap: a public gene expression resource,” Genome Research, vol. 10, no. 7, pp. 1051–1060, 2000.
[14]
A. H. C. van Kampen, J. M. Ruijter, B. D. S. van Schaik, et al., “Gene expression informatics and analysis,” in Bioinformatics for Geneticists, M. R. Barnes and I. C. Gray, Eds., pp. 319–344, John Wiley & Sons, Chichester, UK, 2003.
[15]
E. A. Gibb, E. A. Vucic, K. S. Enfield, et al., “Human cancer long non-coding RNA transcriptomes,” PLoS ONE, vol. 6, no. 10, Article ID e25915, 2011.
[16]
S. V. Anisimov, “Serial analysis of gene expression (SAGE): 13 years of application in research,” Current Pharmaceutical Biotechnology, vol. 9, no. 5, pp. 338–350, 2008.
[17]
K. Boon, E. C. Osório, S. F. Greenhut et al., “An anatomy of normal and malignant gene expression,” The Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 17, pp. 11287–11292, 2002.
[18]
S. V. Anisimov, “A large-scale screening of the normalized mammalian mitochondrial gene expression profiles,” Genetical Research, vol. 86, no. 2, pp. 127–138, 2005.
[19]
O. U. Potapova, S. V. Anisimov, M. Gorospe, et al., “Targets of c-Jun NH2-terminal kinase 2-mediated tumor growth regulation revealed by serial analysis of gene expression,” Cancer Research, vol. 62, no. 11, pp. 3257–3263, 2002.
[20]
S. V. Anisimov and A. A. Sharov, “Incidence of “quasi-ditags” in catalogs generated by serial analysis of gene expression (SAGE),” BMC Bioinformatics, vol. 5, article 152, 2004.
[21]
E. Varlet-Marie, M. Audran, M. Ashenden, M. T. Sicart, and D. Piquemal, “Modification of gene expression: help to detect doping with erythropoiesis-stimulating agents,” American Journal of Hematology, vol. 84, no. 11, pp. 755–759, 2009.
[22]
K. M. Lonergan, R. Chari, R. J. DeLeeuw et al., “Identification of novel lung genes in bronchial epithelium by serial analysis of gene expression,” American Journal of Respiratory Cell and Molecular Biology, vol. 35, no. 6, pp. 651–661, 2006.
[23]
G. J. Riggins and R. L. Strausberg, “Genome and genetic resources from the cancer genome anatomy project,” Human Molecular Genetics, vol. 10, no. 7, pp. 663–667, 2001.
[24]
M. Allinen, R. Beroukhim, L. Cai et al., “Molecular characterization of the tumor microenvironment in breast cancer,” Cancer Cell, vol. 6, no. 1, pp. 17–32, 2004.
[25]
K. Boon, J. B. Edwards, C. G. Eberhart, and G. J. Riggins, “Identification of astrocytoma associated genes including cell surface markers,” BMC Cancer, vol. 4, article 39, 2004.
[26]
C. D. Hough, C. A. Sherman-Baust, E. S. Pizer et al., “Large-scale serial analysis of gene expression reveals genes differentially expressed in ovarian cancer,” Cancer Research, vol. 60, no. 22, pp. 6281–6287, 2000.
[27]
M. Fischer, A. Oberthuer, B. Brors et al., “Differential expression of neuronal genes defines subtypes of disseminated neuroblastoma with favorable and unfavorable outcome,” Clinical Cancer Research, vol. 12, no. 17, pp. 5118–5128, 2006.
[28]
D. Sharon, S. Blackshaw, C. L. Cepko, and T. P. Dryja, “Profile of the genes expressed in the human peripheral retina, macula, and retinal pigment epithelium determined through serial analysis of gene expression (SAGE),” The Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 1, pp. 315–320, 2002.
[29]
C. B. Rickman, J. N. Ebright, Z. J. Zavodni et al., “Defining the human macula transcriptome and candidate retinal disease genes using EyeSAGE,” Investigative Ophthalmology and Visual Science, vol. 47, no. 6, pp. 2305–2316, 2006.
[30]
A. Zhang, D. A. Skaar, Y. Li, et al., “Novel retrotransposed imprinted locus identified at human 6p25,” Nucleic Acids Research, vol. 39, no. 11, pp. 5388–5400, 2011.
[31]
A. I. Diplas, L. Lambertini, M. J. Lee et al., “Differential expression of imprinted genes in normal and IUGR human placentas,” Epigenetics, vol. 4, no. 4, pp. 235–240, 2009.
[32]
A. Henckel and P. Arnaud, “Genome-wide identification of new imprinted genes,” Briefings in Functional Genomics and Proteomics, vol. 9, no. 4, Article ID elq016, pp. 304–314, 2010.
[33]
W. Davies, A. R. Isles, and L. S. Wilkinson, “Imprinted gene expression in the brain,” Neuroscience and Biobehavioral Reviews, vol. 29, no. 3, pp. 421–430, 2005.
[34]
D. Haig, “Genomic imprinting and kinship: how good is the evidence?” Annual Review of Genetics, vol. 38, pp. 553–585, 2004.
[35]
B. W. Sun, A. C. Yang, Y. Feng et al., “Temporal and parental-specific expression of imprinted genes in a newly derived Chinese human embryonic stem cell line and embryoid bodies,” Human Molecular Genetics, vol. 15, no. 1, pp. 65–75, 2006.
[36]
I. Ariel, O. Lustig, T. Schneider et al., “The imprinted H19 gene as a tumor marker in bladder carcinoma,” Urology, vol. 45, no. 2, pp. 335–338, 1995.
[37]
M. J. Cooper, M. Fischer, D. Komitowski et al., “Developmentally imprinted genes as markers for bladder tumor progression,” Journal of Urology, vol. 155, no. 6, pp. 2120–2127, 1996.
[38]
J. M. Frost, D. Monk, T. Stojilkovic-Mikic et al., “Evaluation of allelic expression of imprinted genes in adult human blood,” PLoS ONE, vol. 5, no. 10, Article ID e13556, 2010.
[39]
S. V. Anisimov, K. V. Tarasov, D. Riordon, A. M. Wobus, and K. R. Boheler, “SAGE identification of differentiation responsive genes in P19 embryonic cells induced to form cardiomyocytes in vitro,” Mechanisms of Development, vol. 117, no. 1-2, pp. 25–74, 2002.
[40]
J. C. Lui, G. P. Finkielstain, K. M. Barnes, and J. Baron, “An imprinted gene network that controls mammalian somatic growth is down-regulated during postnatal growth deceleration in multiple organs,” American Journal of Physiology—Regulatory Integrative and Comparative Physiology, vol. 295, no. 1, pp. R189–R196, 2008.
[41]
M. Richards, S. P. Tan, J. H. Tan, W. K. Chan, and A. Bongso, “The transcriptome profile of human embryonic stem cells as defined by SAGE,” Stem Cells, vol. 22, no. 1, pp. 51–64, 2004.
[42]
K. P. Kim, A. Thurston, C. Mummery et al., “Gene-specific vulnerability to imprinting variability in human embryonic stem cell lines,” Genome Research, vol. 17, no. 12, pp. 1731–1742, 2007.
[43]
J. M. Frost, D. Monk, D. Moschidou et al., “The effects of culture on genomic imprinting profiles in human embryonic and fetal mesenchymal stem cells,” Epigenetics, vol. 6, no. 1, pp. 52–62, 2011.