Identification and target prediction of miRNAs specifically expressed in rat neural tissue

被引:66
作者
Hua, You-Jia [2 ,3 ,4 ]
Tang, Zhong-Yi [1 ,2 ,4 ]
Tu, Kang [1 ,2 ,4 ]
Zhu, Li [2 ]
Li, Yi-Xue [1 ,2 ,4 ]
Xie, Lu [1 ,4 ]
Xiao, Hua-Sheng [2 ,3 ,4 ]
机构
[1] Shanghai Ctr Bioinformat Technol, Dept Translat Med, Shanghai 200235, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Biol Sci, Bioinformat Ctr, Ctr Funct Genom,Key Lab Syst Biol, Shanghai 200031, Peoples R China
[3] Natl Engn Ctr Biochip Shanghai, Dept Gene Chip, Shanghai 201203, Peoples R China
[4] Chinese Acad Sci, Grad Sch, Shanghai 200031, Peoples R China
来源
BMC GENOMICS | 2009年 / 10卷
关键词
MICRORNA GENE-EXPRESSION; CENTRAL-NERVOUS-SYSTEM; MICROARRAY ANALYSIS; DIFFERENTIATION; BRAIN; CLUSTER; PROFILE;
D O I
10.1186/1471-2164-10-214
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: MicroRNAs (miRNAs) are a large group of RNAs that play important roles in regulating gene expression and protein translation. Several studies have indicated that some miRNAs are specifically expressed in human, mouse and zebrafish tissues. For example, miR-1 and miR-133 are specifically expressed in muscles. Tissue-specific miRNAs may have particular functions. Although previous studies have reported the presence of human, mouse and zebrafish tissue-specific miRNAs, there have been no detailed reports of rat tissue-specific miRNAs. In this study, Home-made rat miRNA microarrays which established in our previous study were used to investigate rat neural tissue-specific miRNAs, and mapped their target genes in rat tissues. This study will provide information for the functional analysis of these miRNAs. Results: In order to obtain as complete a picture of specific miRNA expression in rat neural tissues as possible, customized miRNA microarrays with 152 selected miRNAs from miRBase were used to detect miRNA expression in 14 rat tissues. After a general clustering analysis, 14 rat tissues could be clearly classified into neural and non-neural tissues based on the obtained expression profiles with p values < 0.05. The results indicated that the miRNA profiles were different in neural and non-neural tissues. In total, we found 30 miRNAs that were specifically expressed in neural tissues. For example, miR-199a was specifically expressed in neural tissues. Of these, the expression patterns of four miRNAs were comparable with those of Landgraf et al., Bak et al., and Kapsimani et al. Thirty neural tissue-specific miRNAs were chosen to predict target genes. A total of 1,475 target mRNA were predicted based on the intersection of three public databases, and target mRNA's pathway, function, and regulatory network analysis were performed. We focused on target enrichments of the dorsal root ganglion (DRG) and olfactory bulb. There were four Gene Ontology (GO) functions and five KEGG pathways significantly enriched in DRG. Only one GO function was significantly enriched in the olfactory bulb. These targets are all predictions and have not been experimentally validated. Conclusion: Our work provides a global view of rat neural tissue-specific miRNA profiles and a target map of miRNAs, which is expected to contribute to future investigations of miRNA regulatory mechanisms in neural systems.
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页数:12
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共 29 条
  • [1] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [2] MicroRNA expression in the adult mouse central nervous system
    Bak, Mads
    Silahtaroglu, Asli
    Moller, Morten
    Christensen, Mette
    Rath, Martin F.
    Skryabin, Boris
    Tommerup, Niels
    Kauppinen, Sakari
    [J]. RNA, 2008, 14 (03) : 432 - 444
  • [3] Spatial regulation of microRNA gene expression in the Drosophila embryo
    Biemar, F
    Zinzen, R
    Ronshaugen, M
    Sementchenko, V
    Manak, JR
    Levine, MS
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (44) : 15907 - 15911
  • [4] The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation
    Chen, JF
    Mandel, EM
    Thomson, JM
    Wu, QL
    Callis, TE
    Hammond, SM
    Conlon, FL
    Wang, DZ
    [J]. NATURE GENETICS, 2006, 38 (02) : 228 - 233
  • [5] Cluster analysis and display of genome-wide expression patterns
    Eisen, MB
    Spellman, PT
    Brown, PO
    Botstein, D
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) : 14863 - 14868
  • [6] MicroRNA gene expression during retinoic acid-induced differentiation of human acute promyelocytic leukemia
    Garzon, R.
    Pichiorri, F.
    Palumbo, T.
    Visentini, M.
    Aqeilan, R.
    Cimmino, A.
    Wang, H.
    Sun, H.
    Volinia, S.
    Alder, H.
    Calin, G. A.
    Liu, C-G
    Andreeff, M.
    Croce, C. M.
    [J]. ONCOGENE, 2007, 26 (28) : 4148 - 4157
  • [7] The microRNA Registry
    Griffiths-Jones, S
    [J]. NUCLEIC ACIDS RESEARCH, 2004, 32 : D109 - D111
  • [8] Expression profile analysis of microRNA (miRNA) in mouse central nervous system using a new miRNA detection system that examines hybridization signals at every step of washing
    Hohjoh, Hirohiko
    Fukushima, Tatsunobu
    [J]. GENE, 2007, 391 (1-2) : 39 - 44
  • [9] Comparison of normalization methods with microRNA microarray
    Hua, You-Jia
    Tu, Kang
    Tang, Zhong-Yi
    Li, Yi-Xue
    Mao, Hua-Sheng
    [J]. GENOMICS, 2008, 92 (02) : 122 - 128
  • [10] From genomics to chemical genomics: new developments in KEGG
    Kanehisa, Minoru
    Goto, Susumu
    Hattori, Masahiro
    Aoki-Kinoshita, Kiyoko F.
    Itoh, Masumi
    Kawashima, Shuichi
    Katayama, Toshiaki
    Araki, Michihiro
    Hirakawa, Mika
    [J]. NUCLEIC ACIDS RESEARCH, 2006, 34 : D354 - D357