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Imprinted genes in mouse Libo Wang1, Yanjun Wei1, Hongbo Liu1, Jingyuan Fu2, Yan Zhang2 1. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China 2. The Northeast Agricultural University, Harbin, 150031, China [email protected] (YZ) Abstract Genomic imprinting is an important mechanism of epigenetic regulation. It only expresses the genetic information one of the parent, the other part is silence. Numerous studies have shown that Imprinted Genes play an important role in regulating the growth and development of mammals, and its abnormal expression may lead to diseases. After many years of studies, so far more than 100 imprinted genes in mice have been identified, they play an important role in the regulation of growth and development. However, biological function of imprinted genes still requires us to conduct more in-depth exploration. It has important implications for theoretical research of Biological Evolution and Genes and Development. With the continuous development of high-throughput sequencing, it provides a convenient analytical tool for us to study the complex Imprinted genes. It allows us to explore the dynamic of genomic imprinting between different tissues and cell. Keywords:imprinted gene,DNA methylation,High throughput sequencing, Tissue-specific 1. The Characteristics of imprinted genes Imprinted genes usually cluster in its chromosome, and they can span millions of bases or more(Yang, Adamson et al. 1998).For example, there are two large clusters of imprinted genes on chromosome 7 in the mouse, and there are at least 35 imprinted genes have been discovered on it. The phenomenon of Imprinted genes existing in clusters on chromosome is considered to be due to the co-regulation of genes within the same chromosome(Reik and Walter 2001).Each cluster of imprinted genes is regulated by Imprinting Control Elements, also known as imprinting control region. In the mammals, many male parent or female parent allele expression are clustered near the ICRs, this illustrates the important role of ICRs in gene imprinting. The vast majority of imprinted genes have CPG Island (Yang, Adamson et al. 1998), and it can occur DNA methylation. It has a differentially methylated region (DMRs) in allele. Differential methylation occurs mainly in the gene promoter region. Most imprinted genes being found have DMR or regulated by the DMR, and it is an important condition that Imprinted genes reflect genetic difference. Also, the occurrence of imprinted genes has the specificity of tissue and developmental stage. For example, The Grb10 is paternally imprinted in various tissues in the mouse, but it is biallelic in the brain. In the adult brain it tends to express paternal allele (Hikichi, Kohda et al. 2003). 2. The Progress of Imprinted Genes For the study of gene imprinting, we generally look for a new candidate imprinted genes, and we analyze and identify its imprint. And then we study the physiological function of imprinted genes in the growth and development of mammals. We study the gene expression regulation. Of course, the premise of this work is to find a candidate imprinted genes. We are looking for imprinted genes around the known imprinted genes by its occurring in clusters. Now a large part of imprinted genes have been found in this way. Such as imprinted genes Peg10, Neurabin, Pon2 and Pon3 are to be identified by this method(Ono, Shiura et al. 2003). It can also be judged by the allele-specific expression of imprinted genes. Use of experimental methods, we make the genome in a zygote come from same-sex parents, and it becomes parthenogenetic (or andrenogenetic) embryo. By analyzing the parthenogenetic (or andrenogenetic) embryos and normal embryos phenotype, we determined the genetic which causing of differences. On this basis, we developed a number of experimental methods. Such as, Ishino et al. managed to isolate the Peg1/Mest imprinted genes cluster by Suppression Subtractive Hybridization. the Peg1/Mest imprinted genes cluster includes three paternal genes which are Mest (Peg1), Pw1 (Peg3) and Nnat (Peg5) (Kaneko-Ishino, Kuroiwa et al. 1995; Kuroiwa, Kaneko-Ishino et al. 1996; Kagitani, Kuroiwa et al. 1997), and two maternal genes which are Grb10 (Meg1) and Gtl2 (Meg3) (Miyoshi, Kuroiwa et al. 1998). We distinguish the difference of parental origin on parental alleles of imprinted genes existing various epigenetic modifications. This modification often occur on differentially methylated region. We can obtain the candidate imprinted genes by comparing analysis the differentially methylated region in allele. For example, Smith et al. retrieved within a genome-wide and identified 3 new imprinted genes which are Nap1l5, Peg13 and Slc38a4 by the method of Methylated-sensitive Representational Difference Analysis in 2003(Smith, Dean et al. 2003). However, so far the number of imprinted genes has been identified is very limited. The study of imprinted genes is based on looking for new imprinted genes. It is obviously a complex and lengthy process via theoretical basis searching for new imprinted genes. At this time, the development of high throughput sequencing data, finding a candidate imprinted genes by the method of bioinformatics emerge. It can be more accurately refine the candidate genes range。 3. High throughput sequencing to help identify the novel tissue-specific imprinting With the development of high throughout sequencing technology, it provides new insights for exploring the genomic imprinting. RNA-seq data and BS-seq data can be accurately defined that the levels of imprinted gene expression and methylation at different stages of development of various tissues and cell types(Prickett and Oakey 2012). High-throughput sequencing technology has significant progress in elucidating epigenetic markers, and this is the key of genomic imprinting during oogenesis(Smallwood, Tomizawa et al. 2011).The analysis of tissue-specific imprinting in genome-wide understand the changes of epigenetic marks in enables us to the growth and development ,and We can directly analyze that allele is silent or active in imprint and non-imprint tissue. For further, RNA-seq data can quantitatively measure the expression levels of parental alleles. It allows us to determine that the gene is monoallelic expression or biallelic expression in the different tissue types, so that we can identify tissue-specific imprint. So far RNA-seq data has been to a useful tools to recognize the new tissue-specific imprint(Gregg, Zhang et al. 2010; Gregg, Zhang et al. 2010).However, The method used by Gregg et al. assumes no experimental error in lirbary construction, sequencing and genomic alignments time, and each sequencing read independently of the other reads. Unfortunately, it is clear that these assumptions are violated. In allele-specific expression, there is a systematic error for RNA-seq obviously(DeVeale, van der Kooy et al. 2012). As the complexity of biological phenomena, it is a big challenge for filtrating imprinted genes through high-throughput data(Baran, Subramaniam et al. 2015).This requires us to use more complex and accurate method to study RNA-seq data, so that we can more accurately identify imprinted genes. The differentially methylated of parents allelic is known to control the expression of imprinted genes(Engemann, Strodicke et al. 2000).The development of BS-seq technology allows us to obtain the methylation levels of a single base resolution in Genome-wide. This enables us check the parent-of-origin specific manner methylation. In the field of imprinted genes found allele-specific methylation area. Summary Currently, the study of genomic imprinting has become an important area in epigenetics .It is closely related to the growth and development of the organism. The changes of the normal pattern of imprinting can cause many diseases, but its mechanisms haven’t been researched thoroughly. This need us use constantly produce high-throughput data as an analytical tool, more accurate identification of new imprinted genes, and then continue its in-depth exploration, to contribute to the study of biological function。 Acknowledgments Funding for this work provided by the National Natural Science Foundation of China (grant numbers 31371334, 61403112), the Natural Scientific Research Fund of Heilongjiang Provincial (grant number ZD2015003). . Baran, Y., M. Subramaniam, et al. (2015). "The landscape of genomic imprinting across diverse adult human tissues." Genome Res. DeVeale, B., D. van der Kooy, et al. (2012). "Critical evaluation of imprinted gene expression by RNA-Seq: a new perspective." PLoS Genet 8(3): e1002600. Engemann, S., M. Strodicke, et al. (2000). "Sequence and functional comparison in the Beckwith-Wiedemann region: implications for a novel imprinting centre and extended imprinting." Hum Mol Genet 9(18): 2691-2706. Gregg, C., J. Zhang, et al. (2010). "Sex-specific parent-of-origin allelic expression in the mouse brain." Science 329(5992): 682-685. Gregg, C., J. Zhang, et al. (2010). "High-resolution analysis of parent-of-origin allelic expression in the mouse brain." Science 329(5992): 643-648. Hikichi, T., T. Kohda, et al. (2003). "Imprinting regulation of the murine Meg1/Grb10 and human GRB10 genes; roles of brain-specific promoters and mouse-specific CTCF-binding sites." Nucleic Acids Res 31(5): 1398-1406. Kagitani, F., Y. Kuroiwa, et al. (1997). "Peg5/Neuronatin is an imprinted gene located on sub-distal chromosome 2 in the mouse." Nucleic Acids Res 25(17): 3428-3432. Kaneko-Ishino, T., Y. Kuroiwa, et al. (1995). "Peg1/Mest imprinted gene on chromosome 6 identified by cDNA subtraction hybridization." Nat Genet 11(1): 52-59. Kuroiwa, Y., T. Kaneko-Ishino, et al. (1996). "Peg3 imprinted gene on proximal chromosome 7 encodes for a zinc finger protein." Nat Genet 12(2): 186-190. Miyoshi, N., Y. Kuroiwa, et al. (1998). "Identification of the Meg1/Grb10 imprinted gene on mouse proximal chromosome 11, a candidate for the Silver-Russell syndrome gene." Proc Natl Acad Sci U S A 95(3): 1102-1107. Ono, R., H. Shiura, et al. (2003). "Identification of a large novel imprinted gene cluster on mouse proximal chromosome 6." Genome Res 13(7): 1696-1705. Prickett, A. R. and R. J. Oakey (2012). "A survey of tissue-specific genomic imprinting in mammals." Mol Genet Genomics 287(8): 621-630. Reik, W. and J. Walter (2001). "Genomic imprinting: parental influence on the genome." Nat Rev Genet 2(1): 21-32. Smallwood, S. A., S. Tomizawa, et al. (2011). "Dynamic CpG island methylation landscape in oocytes and preimplantation embryos." Nat Genet 43(8): 811-814. Smith, R. J., W. Dean, et al. (2003). "Identification of novel imprinted genes in a genome-wide screen for maternal methylation." Genome Res 13(4): 558-569. Yang, T., T. E. Adamson, et al. (1998). "A mouse model for Prader-Willi syndrome imprinting-centre mutations." Nat Genet 19(1): 25-31.