Table of Contents
Molecular Biology International
Volume 2012, Article ID 793506, 29 pages
http://dx.doi.org/10.1155/2012/793506
Research Article

A Prevalence of Imprinted Genes within the Total Transcriptomes of Human Tissues and Cells

1Research Unit of Cellular and Genetic Engineering, V. A. Almazov Federal Center for Heart, Blood & Endocrinology, Akkuratova Street 2, Saint-Petersburg 197341, Russia
2Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretsky Prosp. 4, Saint-Petersburg 194064, Russia

Received 14 March 2012; Revised 23 June 2012; Accepted 28 June 2012

Academic Editor: Alessandro Desideri

Copyright © 2012 Sergey V. Anisimov. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked 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. View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Moore and R. Oakey, “The role of imprinted genes in humans,” Genome Biology, vol. 12, no. 3, article 106, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. W. Reik and J. Walter, “Genomic imprinting: parental influence on the genome,” Nature Reviews Genetics, vol. 2, no. 1, pp. 21–32, 2001. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar
  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. View at Publisher · View at Google Scholar
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  34. D. Haig, “Genomic imprinting and kinship: how good is the evidence?” Annual Review of Genetics, vol. 38, pp. 553–585, 2004. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus