Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2014, Article ID 850802, 9 pages
http://dx.doi.org/10.1155/2014/850802
Research Article

ECR-MAPK Regulation in Liver Early Development

1School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Collaborative Innovation Center of Processing of Agricultural Products in Hubei Province, No. 68 South Xuefu Road, Changqing Garden, Wuhan 430023, China
2Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, West No. 30 Xiaohongshan, Wuhan 430071, China
3Xinxiang Institute for Drug Control, No. 17 Jiankang Road, Xinxiang 453000, China

Received 6 June 2014; Revised 27 August 2014; Accepted 16 September 2014; Published 18 December 2014

Academic Editor: Klaus Wimmers

Copyright © 2014 Xiu-Ju Zhao and Hexian Zhuo. 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. A. K. Roy and B. Chatterjee, “Sexual dimorphism in the liver.,” Annual Review of Physiology, vol. 45, pp. 37–50, 1983. View at Publisher · View at Google Scholar · View at Scopus
  2. B. Chatterjee, G. Fernandes, B. P. Yu et al., “Calorie restriction delays age-dependent loss in androgen responsiveness of the rat liver,” FASEB Journal, vol. 3, no. 2, pp. 169–173, 1989. View at Google Scholar · View at Scopus
  3. B. T. Spear, L. Jin, S. Ramasamy, and A. Dobierzewska, “Transcriptional control in the mammalian liver: liver development, perinatal repression, and zonal gene regulation,” Cellular and Molecular Life Sciences, vol. 63, no. 24, pp. 2922–2938, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. T. Li, J. Huang, Y. Jiang et al., “Multi-stage analysis of gene expression and transcription regulation in C57/B6 mouse liver development,” Genomics, vol. 93, no. 3, pp. 235–242, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. J. K. Dunnick, A. Brix, H. Cunny, M. Vallant, and K. R. Shockley, “Characterization of polybrominated diphenyl ether toxicity in wistar han rats and use of liver microarray data for predicting disease susceptibilities,” Toxicologic Pathology, vol. 40, no. 1, pp. 93–106, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. V. G. Tusher, R. Tibshirani, and G. Chu, “Significance analysis of microarrays applied to the ionizing radiation response,” Proceedings of the National Academy of Sciences of the United States of America, vol. 98, no. 9, pp. 5116–5121, 2001. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  7. J. D. Storey and R. Tibshirani, “Statistical significance for genomewide studies,” Proceedings of the National Academy of Sciences of the United States of America, vol. 100, no. 16, pp. 9440–9445, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  8. C.-A. Tsai, H.-M. Hsueh, and J. J. Chen, “Estimation of false discovery rates in multiple testing: application to gene microarray data,” Biometrics, vol. 59, no. 4, pp. 1071–1081, 2003. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Todorov and P. Filzmoser, “Robust statistic for the one-way MANOVA,” Computational Statistics and Data Analysis, vol. 54, no. 1, pp. 37–48, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  10. M. W. Pfaffl, “A new mathematical model for relative quantification in real-time RT-PCR,” Nucleic Acids Research, vol. 29, no. 9, p. e45, 2001. View at Publisher · View at Google Scholar · View at Scopus
  11. W. P. Aue, E. Bartholdi, and R. R. Ernst, “Two-dimensional spectroscopy. Application to nuclear magnetic resonance,” The Journal of Chemical Physics, vol. 64, no. 5, pp. 2229–2246, 1976. View at Publisher · View at Google Scholar · View at Scopus
  12. W. P. Aue, J. Karhan, and R. R. Ernst, “Homonuclear broad band decoupling and two-dimensional J-resolved NMR spectroscopy,” Journal of Chemical Physics, vol. 64, no. 10, pp. 4226–4227, 1976. View at Publisher · View at Google Scholar · View at Scopus
  13. L. Braunschweiler and R. R. Ernst, “Coherence transfer by isotropic mixing: application to proton correlation spectroscopy,” Journal of Magnetic Resonance, vol. 53, no. 3, pp. 521–528, 1983. View at Publisher · View at Google Scholar · View at Scopus
  14. X.-J. Zhao, C. Huang, H. Lei, X. Nie, H. Tang, and Y. Wang, “Dynamic metabolic response of mice to acute mequindox exposure,” Journal of Proteome Research, vol. 10, no. 11, pp. 5183–5190, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Trygg and S. Wold, “Orthogonal projections to latent structures (O-PLS),” Journal of Chemometrics, vol. 16, no. 3, pp. 119–128, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. C. Henegar, K. Clement, and J. Zucker, “Unsupervised multiple-instance learning for functional profiling of genomic data,” in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 186–197, 2006.
  17. R. Opgen-Rhein and K. Strimmer, “From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data,” BMC Systems Biology, vol. 1, article 37, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statical Learning, Springer, New York, NY, USA, 2nd edition, 2008.
  19. F. Lindgren, B. Hansen, W. Karcher, M. Sjöström, and L. Eriksson, “Model validation by permutation tests: applications to variable selection,” Journal of Chemometrics, vol. 10, no. 5-6, pp. 521–532, 1996. View at Google Scholar · View at Scopus
  20. E. Axelsson, A. Ratnakumar, M.-L. Arendt et al., “The genomic signature of dog domestication reveals adaptation to a starch-rich diet,” Nature, vol. 495, no. 7441, pp. 360–364, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. A. K. Roy, B. Chatterjee, K. V. S. Rao, C. V. R. Murty, F. H. Sarkar, and D. Majumdar, “Androgenic regulation of hepatic gene expression,” The Journal of Steroid Biochemistry, vol. 27, no. 4–6, pp. 1129–1134, 1987. View at Publisher · View at Google Scholar · View at Scopus
  22. Q. Wang, M. Liu, B. Mullah, D. P. Siderovski, and R. R. Neubig, “Receptor-selective effects of endogenous RGS3 and RGS5 to regulate mitogen-activated protein kinase activation in rat vascular smooth muscle cells,” Journal of Biological Chemistry, vol. 277, no. 28, pp. 24949–24958, 2002. View at Publisher · View at Google Scholar · View at Scopus
  23. B. R. Dey, S. L. Spence, P. Nissley, and R. W. Furlanetto, “Interaction of human suppressor of cytokine signaling (SOCS)-2 with the insulin-like growth factor-I receptor,” The Journal of Biological Chemistry, vol. 273, no. 37, pp. 24095–24101, 1998. View at Publisher · View at Google Scholar · View at Scopus
  24. T. M. P. Team, “The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC),” Genome Research, vol. 14, pp. 2121–2127, 2004. View at Google Scholar
  25. T. Conforto and D. Waxman, “Sex-specific mouse liver gene expression: genome-wide analysis of developmental changes from pre-pubertal period to young adulthood,” Biology of Sex Differences, vol. 3, p. 9, 2012. View at Publisher · View at Google Scholar
  26. N. Guillén, M. A. Navarro, C. Arnal et al., “Microarray analysis of hepatic gene expression identifies new genes involved in steatotic liver,” Physiological Genomics, vol. 37, no. 3, pp. 187–198, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. W.-B. Wang, J.-M. Fan, X.-L. Zhang, J. Xu, and W. Yao, “Serial expression analysis of liver regeneration-related genes in rat regenerating liver,” Molecular Biotechnology, vol. 43, no. 3, pp. 221–231, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. J. Wang, W.-M. Kang, J.-C. Yu, Y.-Q. Liu, Q.-B. Meng, and Z.-J. Cao, “Cadherin-17 induces tumorigenesis and lymphatic metastasis in gastric cancer through activation of NFκB signaling pathway,” Cancer Biology and Therapy, vol. 14, no. 3, pp. 262–270, 2013. View at Publisher · View at Google Scholar · View at Scopus
  29. S. B. Biddinger, K. Almind, M. Miyazaki, E. Kokkotou, J. M. Ntambi, and C. R. Kahn, “Effects of diet and genetic background on sterol regulatory element-binding protein-1c, stearoyl-CoA desaturase 1, and the development of the metabolic syndrome,” Diabetes, vol. 54, no. 5, pp. 1314–1323, 2005. View at Publisher · View at Google Scholar · View at Scopus
  30. D. Becker, I. Sfakianakis, M. Krupp et al., “Genetic signatures shared in embryonic liver development and liver cancer define prognostically relevant subgroups in HCC,” Molecular Cancer, vol. 11, article 55, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. J. C. Lui and J. Baron, “Evidence that Igf2 down-regulation in postnatal tissues and up-regulation in malignancies is driven by transcription factor E2f3,” Proceedings of the National Academy of Sciences of the United States of America, vol. 110, no. 15, pp. 6181–6186, 2013. View at Publisher · View at Google Scholar · View at Scopus
  32. F. C. C. Rodrigues, R. S. Kawasaki-Oyama, J. F. G. Fo et al., “Analysis of CDKN1A polymorphisms: markers of cancer susceptibility?” Cancer Genetics and Cytogenetics, vol. 142, no. 2, pp. 92–98, 2003. View at Publisher · View at Google Scholar · View at Scopus
  33. J. Wang, K. Huo, L. Ma et al., “Toward an understanding of the protein interaction network of the human liver,” Molecular Systems Biology, vol. 7, article 536, 2011. View at Publisher · View at Google Scholar · View at Scopus
  34. A. Doncic and J. M. Skotheim, “Feedforward regulation ensures stability and rapid reversibility of a cellular state,” Molecular Cell, vol. 50, no. 6, pp. 856–868, 2013. View at Publisher · View at Google Scholar · View at Scopus
  35. T. A. Rupprecht, C. J. Kirschning, B. Popp et al., “Borrelia garinii induces CXCL13 production in human monocytes through toll-like receptor 2,” Infection and Immunity, vol. 75, no. 9, pp. 4351–4356, 2007. View at Publisher · View at Google Scholar · View at Scopus
  36. C.-H. Jenh, M. A. Cox, W. Hipkin et al., “Human B cell-attracting chemokine 1 (BCA-1; CXCL13) is an agonist for the human CXCR3 receptor,” Cytokine, vol. 15, no. 3, pp. 113–121, 2001. View at Publisher · View at Google Scholar · View at Scopus