Using next-generation RNA sequencing to identify imprinted genes

被引:67
|
作者
Wang, X. [1 ,2 ]
Clark, A. G. [1 ,2 ]
机构
[1] Cornell Univ, Dept Mol Biol & Genet, Ithaca, NY 14853 USA
[2] Cornell Univ, Cornell Ctr Comparat & Populat Genom, Ithaca, NY 14853 USA
关键词
X-CHROMOSOME INACTIVATION; RANDOM MONOALLELIC EXPRESSION; ORIGIN ALLELIC EXPRESSION; WIDE IDENTIFICATION; MOUSE-BRAIN; GENOME; MECHANISMS; PLACENTA; HETEROZYGOSITY; MICROARRAY;
D O I
10.1038/hdy.2014.18
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Genomic imprinting is manifested as differential allelic expression (DAE) depending on the parent-of-origin. The most direct way to identify imprinted genes is to directly score the DAE in a context where one can identify which parent transmitted each allele. Because many genes display DAE, simply scoring DAE in an individual is not sufficient to identify imprinted genes. In this paper, we outline many technical aspects of a scheme for identification of imprinted genes that makes use of RNA sequencing (RNA-seq) from tissues isolated from F1 offspring derived from the pair of reciprocal crosses. Ideally, the parental lines are from two inbred strains that are not closely related to each other. Aspects of tissue purity, RNA extraction, library preparation and bioinformatic inference of imprinting are all covered. These methods have already been applied in a number of organisms, and one of the most striking results is the evolutionary fluidity with which novel imprinted genes are gained and lost within genomes. The general methodology is also applicable to a wide range of other biological problems that require quantification of allele-specific expression using RNA-seq, such as cis-regulation of gene expression, X chromosome inactivation and random monoallelic expression.
引用
收藏
页码:156 / 166
页数:11
相关论文
共 50 条
  • [21] Next-generation sequencing
    Jorge S Reis-Filho
    [J]. Breast Cancer Research, 11
  • [22] Next-generation sequencing
    Haferlach, T.
    [J]. ONCOLOGY RESEARCH AND TREATMENT, 2016, 39 : 40 - 41
  • [23] Next-Generation Sequencing
    Xiong, Momiao
    Zhao, Zhongming
    Arnold, Jonathan
    Yu, Fuli
    [J]. JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2010,
  • [24] Next-generation sequencing
    Reis-Filho, Jorge S.
    [J]. BREAST CANCER RESEARCH, 2009, 11
  • [26] Transcriptome Analysis of mRNA in Uterine Leiomyoma Using Next-generation RNA Sequencing
    Anjum, Shadab
    Sahar, Tahreem
    Nigam, Aruna
    Wajid, Saima
    [J]. ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY, 2019, 19 (14) : 1703 - 1718
  • [27] Identification of novel genes in aging osteoblasts using next-generation sequencing and bioinformatics
    Chen, Yi-Jen
    Chang, Wei-An
    Huang, Ming-Shyan
    Chen, Chia-Hsin
    Wang, Kuan-Yuan
    Hsu, Ya-Ling
    Kuo, Po-Lin
    [J]. ONCOTARGET, 2017, 8 (69) : 113598 - 113613
  • [28] A method to identify respiratory virus infections in clinical samples using next-generation sequencing
    Kustin, Talia
    Ling, Guy
    Sharabi, Sivan
    Ram, Daniela
    Friedman, Nehemya
    Zuckerman, Neta
    Bucris, Efrat Dahan
    Glatman-Freedman, Aharona
    Stern, Adi
    Mandelboim, Michal
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [29] Targeted sequencing of cancer-associated genes in hepatocellular carcinoma using next-generation sequencing
    Morishita, Asahiro
    Iwama, Hisakazu
    Fujihara, Shintaro
    Watanabe, Miwako
    Fujita, Koji
    Tadokoro, Tomoko
    Ohura, Kyoko
    Chiyo, Taiga
    Sakamoto, Teppei
    Mimura, Shima
    Nomura, Takako
    Tani, Joji
    Yoneyama, Hirohito
    Okano, Keiichi
    Suzuki, Yasuyuki
    Himoto, Takashi
    Masaki, Tsutomu
    [J]. ONCOLOGY LETTERS, 2018, 15 (01) : 528 - 532
  • [30] Targeted Sequencing of Cancer-Related Genes in Colorectal Cancer Using Next-Generation Sequencing
    Han, Sae-Won
    Kim, Hwang-Phill
    Shin, Jong-Yeon
    Jeong, Eun-Goo
    Lee, Won-Chul
    Lee, Kyung-Hun
    Won, Jae-Kyung
    Kim, Tae-Yong
    Oh, Do-Youn
    Im, Seock-Ah
    Bang, Yung-Jue
    Jeong, Seung-Yong
    Park, Kyu Joo
    Park, Jae-Gahb
    Kang, Gyeong Hoon
    Seo, Jeong-Sun
    Kim, Jong-Il
    Kim, Tae-You
    [J]. PLOS ONE, 2013, 8 (05):