The architecture of the gene regulatory networks of different tissues

被引:23
作者
Li, Jie [1 ,2 ,3 ]
Hua, Xu [1 ,2 ]
Haubrock, Martin [3 ]
Wang, Jin [1 ,2 ]
Wingender, Edgar [3 ]
机构
[1] Univ Med Ctr Gottingen, State Key Lab Pharmaceut Biotechnol, D-37077 Gottingen, Germany
[2] Univ Med Ctr Gottingen, Jiangsu Engn Res Ctr MicroRNA Biol & Biotechnol, D-37077 Gottingen, Germany
[3] Univ Med Ctr Gottingen, Dept Bioinformat, D-37077 Gottingen, Germany
基金
中国国家自然科学基金;
关键词
EXPRESSION; DATABASE; MOTIFS; TOOL;
D O I
10.1093/bioinformatics/bts387
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The great variety of human cell types in morphology and function is due to the diverse gene expression profiles that are governed by the distinctive regulatory networks in different cell types. It is still a challenging task to explain how the regulatory networks achieve the diversity of different cell types. Here, we report on our studies of the design principles of the tissue regulatory system by constructing the regulatory networks of eight human tissues, which subsume the regulatory interactions between transcription factors (TFs), microRNAs (miRNAs) and non-TF target genes. The results show that there are in-/out-hubs of high in-/out-degrees in tissue networks. Some hubs (strong hubs) maintain the hub status in all the tissues where they are expressed, whereas others (weak hubs), in spite of their ubiquitous expression, are hubs only in some tissues. The network motifs are mostly feed-forward loops. Some of them having no miRNAs are the common motifs shared by all tissues, whereas the others containing miRNAs are the tissue-specific ones owned by one or several tissues, indicating that the transcriptional regulation is more conserved across tissues than the post-transcriptional regulation. In particular, a common bow-tie framework was found that underlies the motif instances and shows diverse patterns in different tissues. Such bow-tie framework reflects the utilization efficiency of the regulatory system as well as its high variability in different tissues, and could serve as the model to further understand the structural adaptation of the regulatory system to the specific requirements of different cell functions.
引用
收藏
页码:I509 / I514
页数:6
相关论文
共 27 条
[1]   Structure and evolution of transcriptional regulatory networks [J].
Babu, MM ;
Luscombe, NM ;
Aravind, L ;
Gerstein, M ;
Teichmann, SA .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 2004, 14 (03) :283-291
[2]   Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data [J].
Cheng, Chao ;
Yan, Koon-Kiu ;
Hwang, Woochang ;
Qian, Jiang ;
Bhardwaj, Nitin ;
Rozowsky, Joel ;
Lu, Zhi John ;
Niu, Wei ;
Alves, Pedro ;
Kato, Masaomi ;
Snyder, Michael ;
Gerstein, Mark .
PLOS COMPUTATIONAL BIOLOGY, 2011, 7 (11)
[3]   Hierarchy and feedback in the evolution of the Escherichia coli transcription network [J].
Cosentino Lagomarsino, M. ;
Jona, P. ;
Bassetti, B. ;
Isambert, H. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (13) :5516-5520
[4]   Bow ties, metabolism and disease [J].
Csete, M ;
Doyle, J .
TRENDS IN BIOTECHNOLOGY, 2004, 22 (09) :446-450
[5]   Gene regulation: Gene control network in development [J].
de-Leon, Smadar Ben-Tabou ;
Davidson, Eric H. .
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 2007, 36 :191-212
[6]   An approach to evaluate the topological significance of motifs and other patterns in regulatory networks [J].
Goemann, Bjoern ;
Wingender, Edgar ;
Potapov, Anatolij P. .
BMC SYSTEMS BIOLOGY, 2009, 3
[7]   miRBase: tools for microRNA genomics [J].
Griffiths-Jones, Sam ;
Saini, Harpreet Kaur ;
van Dongen, Stijn ;
Enright, Anton J. .
NUCLEIC ACIDS RESEARCH, 2008, 36 :D154-D158
[8]   MATCH™:: a tool for searching transcription factor binding sites in DNA sequences [J].
Kel, AE ;
Gössling, E ;
Reuter, I ;
Cheremushkin, E ;
Kel-Margoulis, OV ;
Wingender, E .
NUCLEIC ACIDS RESEARCH, 2003, 31 (13) :3576-3579
[9]   Combinatorial microRNA target predictions [J].
Krek, A ;
Grun, D ;
Poy, MN ;
Wolf, R ;
Rosenberg, L ;
Epstein, EJ ;
MacMenamin, P ;
da Piedade, I ;
Gunsalus, KC ;
Stoffel, M ;
Rajewsky, N .
NATURE GENETICS, 2005, 37 (05) :495-500
[10]   A mammalian microRNA expression atlas based on small RNA library sequencing [J].
Landgraf, Pablo ;
Rusu, Mirabela ;
Sheridan, Robert ;
Sewer, Alain ;
Iovino, Nicola ;
Aravin, Alexei ;
Pfeffer, Sebastien ;
Rice, Amanda ;
Kamphorst, Alice O. ;
Landthaler, Markus ;
Lin, Carolina ;
Socci, Nicholas D. ;
Hermida, Leandro ;
Fulci, Valerio ;
Chiaretti, Sabina ;
Foa, Robin ;
Schliwka, Julia ;
Fuchs, Uta ;
Novosel, Astrid ;
Mueller, Roman-Ulrich ;
Schermer, Bernhard ;
Bissels, Ute ;
Inman, Jason ;
Phan, Quang ;
Chien, Minchen ;
Weir, David B. ;
Choksi, Ruchi ;
De Vita, Gabriella ;
Frezzetti, Daniela ;
Trompeter, Hans-Ingo ;
Hornung, Veit ;
Teng, Grace ;
Hartmann, Gunther ;
Palkovits, Miklos ;
Di Lauro, Robert ;
Wernet, Peter ;
Macino, Giuseppe ;
Rogler, Charles E. ;
Nagle, James W. ;
Ju, Jingyue ;
Papavasiliou, F. Nina ;
Benzing, Thomas ;
Lichter, Peter ;
Tam, Wayne ;
Brownstein, Michael J. ;
Bosio, Andreas ;
Borkhardt, Arndt ;
Russo, James J. ;
Sander, Chris ;
Zavolan, Mihaela .
CELL, 2007, 129 (07) :1401-1414