Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.
Transcriptional Regulatory Networks in Saccharomyces cerevisiae
Tong Ihn Lee,1*Nicola J. Rinaldi,12*François Robert,1*Duncan T. Odom,1Ziv Bar-Joseph,3Georg K. Gerber,3Nancy M. Hannett,1Christopher T. Harbison,12Craig M. Thompson,1Itamar Simon,1Julia Zeitlinger,1Ezra G. Jennings,12Heather L. Murray,1D. Benjamin Gordon,1Bing Ren,1John J. Wyrick,1§Jean-Bosco Tagne,1Thomas L. Volkert,1Ernest Fraenkel,1David K. Gifford,3Richard A. Young12
We have determined how most of the transcriptional
regulators encoded in the eukaryote Saccharomyces cerevisiae
associatewith genes across the genome in living cells. Just as maps ofmetabolic networks describe the potential pathways that may beused by
a cell to accomplish metabolic processes, this networkof
regulator-gene interactions describes potential pathways yeastcells
can use to regulate global gene expression programs. Weuse this
information to identify network motifs, the simplestunits of network
architecture, and demonstrate that an automatedprocess can use motifs
to assemble a transcriptional regulatorynetwork structure. Our results
reveal that eukaryotic cellularfunctions are highly connected through
networks of transcriptionalregulators that regulate other
transcriptional regulators.
1 Whitehead Institute for Biomedical Research,
Nine Cambridge Center, Cambridge, MA 02142, USA.
2 Department of Biology, Massachusetts Institute of
Technology, Cambridge, MA 02139, USA.
3 MIT
Laboratory of Computer Science, 200 Technology Square, Cambridge, MA
02139, USA.
*
These authors contributed equally to this work.
Present address: Akceli Inc., 1 Hampshire Street,
Cambridge, MA 02139, USA.
Present address: Ludwig Institute for Cancer
Research, 9500 Gilman Drive, La Jolla, CA 92093, USA.
§
Present address: California Institute of Technology,
Pasadena, CA 91125, USA.
To whom correspondence should be addressed. E-mail:
young{at}wi.mit.edu
The editors suggest the following Related Resources on Science sites:
In Science Magazine
PERSPECTIVES
Zoltán N. Oltvai and Albert-László Barabási (25 October 2002) Science298 (5594), 763.
[DOI: 10.1126/science.1078563] |Summary »|Full Text »|PDF »
Temporal mapping of CEBPA and CEBPB binding during liver regeneration reveals dynamic occupancy and specific regulatory codes for homeostatic and cell cycle gene batteries.
J. S. Jakobsen, J. Waage, N. Rapin, H. C. Bisgaard, F. S. Larsen, and B. T. Porse (2013)
Genome Res.
23, 592-603
|Abstract »|Full Text »|PDF »
Nanobody(R)-based chromatin immunoprecipitation/micro-array analysis for genome-wide identification of transcription factor DNA binding sites.
T. Nguyen-Duc, E. Peeters, S. Muyldermans, D. Charlier, and G. Hassanzadeh-Ghassabeh (2013)
Nucleic Acids Res.
41, e59
|Abstract »|Full Text »|PDF »
BREEDING AND GENETICS SYMPOSIUM: Networks and pathways to guide genomic selection.
W. M. Snelling, R. A. Cushman, J. W. Keele, C. Maltecca, M. G. Thomas, M. R. S. Fortes, and A. Reverter (2013)
J Anim Sci
91, 537-552
|Abstract »|Full Text »|PDF »
An effective framework for reconstructing gene regulatory networks from genetical genomics data.
R. J. Flassig, S. Heise, K. Sundmacher, and S. Klamt (2013)
Bioinformatics
29, 246-254
|Abstract »|Full Text »|PDF »
Reverse-engineering the genetic circuitry of a cancer cell with predicted intervention in chronic lymphocytic leukemia.
L. Vallat, C. A. Kemper, N. Jung, M. Maumy-Bertrand, F. Bertrand, N. Meyer, A. Pocheville, J. W. Fisher III, J. G. Gribben, and S. Bahram (2013)
PNAS
110, 459-464
|Abstract »|Full Text »|PDF »
Using topology to tame the complex biochemistry of genetic networks.
The Enigmatic Conservation of a Rap1 Binding Site in the Saccharomyces cerevisiae HMR-E Silencer.
L. Teytelman, E. A. O. Nishimura, B. Ozaydin, M. B. Eisen, and J. Rine (2012)
g3
2, 1555-1562
|Abstract »|Full Text »|PDF »
Why Transcription Factor Binding Sites Are Ten Nucleotides Long.
A. J. Stewart, S. Hannenhalli, and J. B. Plotkin (2012)
Genetics
192, 973-985
|Abstract »|Full Text »|PDF »
The Zinc Finger Proteins Mxr1p and Repressor of Phosphoenolpyruvate Carboxykinase (ROP) Have the Same DNA Binding Specificity but Regulate Methanol Metabolism Antagonistically in Pichia pastoris.
One Hand Clapping: detection of condition-specific transcription factor interactions from genome-wide gene activity data.
S. Dumcke, M. Seizl, S. Etzold, N. Pirkl, D. E. Martin, P. Cramer, and A. Tresch (2012)
Nucleic Acids Res.
40, 8883-8892
|Abstract »|Full Text »|PDF »
Toward the identification and regulation of the Arabidopsis thaliana ABI3 regulon.
G. Monke, M. Seifert, J. Keilwagen, M. Mohr, I. Grosse, U. Hahnel, A. Junker, B. Weisshaar, U. Conrad, H. Baumlein, et al. (2012)
Nucleic Acids Res.
40, 8240-8254
|Abstract »|Full Text »|PDF »
Considerations for creating and annotating the budding yeast Genome Map at SGD: a progress report.
Evolution of Double Positive Autoregulatory Feedback Loops in CYCLOIDEA2 Clade Genes Is Associated with the Origin of Floral Zygomorphy.
X. Yang, H.-B. Pang, B.-L. Liu, Z.-J. Qiu, Q. Gao, L. Wei, Y. Dong, and Y.-Z. Wang (2012)
PLANT CELL
24, 1834-1847
|Abstract »|Full Text »|PDF »
Critical Role of N-terminal End-localized Nuclear Export Signal in Regulation of Activating Transcription Factor 2 (ATF2) Subcellular Localization and Transcriptional Activity.
Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters.
D. Zeevi, E. Sharon, M. Lotan-Pompan, Y. Lubling, Z. Shipony, T. Raveh-Sadka, L. Keren, M. Levo, A. Weinberger, and E. Segal (2011)
Genome Res.
21, 2114-2128
|Abstract »|Full Text »|PDF »
An efficient network querying method based on conditional random fields.
Structural and functional organization of RNA regulons in the post-transcriptional regulatory network of yeast.
A. Joshi, Y. Van de Peer, and T. Michoel (2011)
Nucleic Acids Res.
39, 9108-9117
|Abstract »|Full Text »|PDF »
ANAT: A Tool for Constructing and Analyzing Functional Protein Networks.
N. Yosef, E. Zalckvar, A. D. Rubinstein, M. Homilius, N. Atias, L. Vardi, I. Berman, H. Zur, A. Kimchi, E. Ruppin, et al. (2011)
Science Signaling
4, pl1
|Abstract »|Full Text »|PDF »
Motifs emerge from function in model gene regulatory networks.
Z. Burda, A. Krzywicki, O. C. Martin, and M. Zagorski (2011)
PNAS
108, 17263-17268
|Abstract »|Full Text »|PDF »
Two Proteins with Different Functions Are Derived from the KlHEM13 Gene.
A. Vizoso Vazquez, M. Blanco, J. Zaborowska, P. Soengas, M. I. Gonzalez-Siso, M. Becerra, E. Rodriguez-Belmonte, and M. E. Cerdan (2011)
Eukaryot. Cell
10, 1331-1339
|Abstract »|Full Text »|PDF »
Fine-tuning of the Msn2/4-mediated yeast stress responses as revealed by systematic deletion of Msn2/4 partners.
A. Sadeh, N. Movshovich, M. Volokh, L. Gheber, and A. Aharoni (2011)
Mol. Biol. Cell
22, 3127-3138
|Abstract »|Full Text »|PDF »
LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data.
G. Geeven, H. D. MacGillavry, R. Eggers, M. M. Sassen, J. Verhaagen, A. B. Smit, M. C. M. de Gunst, and R. E. van Kesteren (2011)
Nucleic Acids Res.
39, 5313-5327
|Abstract »|Full Text »|PDF »
Physical Module Networks: an integrative approach for reconstructing transcription regulation.
N. Novershtern, A. Regev, and N. Friedman (2011)
Bioinformatics
27, i177-i185
|Abstract »|Full Text »|PDF »
Large-scale learning of combinatorial transcriptional dynamics from gene expression.
Yeast response and tolerance to polyamine toxicity involving the drug : H+ antiporter Qdr3 and the transcription factors Yap1 and Gcn4.
M. C. Teixeira, T. R. Cabrito, Z. M. Hanif, R. C. Vargas, S. Tenreiro, and I. Sa-Correia (2011)
Microbiology
157, 945-956
|Abstract »|Full Text »|PDF »
Diverse protein kinase interactions identified by protein microarrays reveal novel connections between cellular processes.
J. Fasolo, A. Sboner, M. G. F. Sun, H. Yu, R. Chen, D. Sharon, P. M. Kim, M. Gerstein, and M. Snyder (2011)
Genes & Dev.
25, 767-778
|Abstract »|Full Text »|PDF »
Modular analysis of the probabilistic genetic interaction network.
L. Hou, L. Wang, M. Qian, D. Li, C. Tang, Y. Zhu, M. Deng, and F. Li (2011)
Bioinformatics
27, 853-859
|Abstract »|Full Text »|PDF »
MicroRNAs and atrial fibrillation: new fundamentals.
Experimental strategies for studying transcription factor-DNA binding specificities.
M. Geertz and S. J. Maerkl (2010)
Briefings in Functional Genomics
9, 362-373
|Abstract »|Full Text »|PDF »
Derepression of INO1 Transcription Requires Cooperation between the Ino2p-Ino4p Heterodimer and Cbf1p and Recruitment of the ISW2 Chromatin-Remodeling Complex.
A Systems Biology Approach to Dissection of the Effects of Small Bicyclic Peptidomimetics on a Panel of Saccharomyces cerevisiae Mutants.
I. Stefanini, A. Trabocchi, E. Marchi, A. Guarna, and D. Cavalieri (2010)
J. Biol. Chem.
285, 23477-23485
|Abstract »|Full Text »|PDF »
Inhibition and Role of let-7d in Idiopathic Pulmonary Fibrosis.
K. V. Pandit, D. Corcoran, H. Yousef, M. Yarlagadda, A. Tzouvelekis, K. F. Gibson, K. Konishi, S. A. Yousem, M. Singh, D. Handley, et al. (2010) 182, 220-229
|Abstract »|Full Text »|PDF »
MicroRNAs and gene regulatory networks: managing the impact of noise in biological systems.
NFIL3 and cAMP Response Element-Binding Protein Form a Transcriptional Feedforward Loop that Controls Neuronal Regeneration-Associated Gene Expression.
H. D. MacGillavry, F. J. Stam, M. M. Sassen, L. Kegel, W. T. J. Hendriks, J. Verhaagen, A. B. Smit, and R. E. van Kesteren (2009)
J. Neurosci.
29, 15542-15550
|Abstract »|Full Text »|PDF »
Protein kinase A and TORC1 activate genes for ribosomal biogenesis by inactivating repressors encoded by Dot6 and its homolog Tod6.
Development of a Novel Output Value for Quantitative Assessment in Methylated DNA Immunoprecipitation-CpG Island Microarray Analysis.
S. Yamashita, K. Hosoya, K. Gyobu, H. Takeshima, and T. Ushijima (2009)
DNA Res
16, 275-286
|Abstract »|Full Text »|PDF »
Repression of DNA-binding dependent glucocorticoid receptor-mediated gene expression.
K. A. Muzikar, N. G. Nickols, and P. B. Dervan (2009)
PNAS
106, 16598-16603
|Abstract »|Full Text »|PDF »
Coupling Phosphate Homeostasis to Cell Cycle-Specific Transcription: Mitotic Activation of Saccharomyces cerevisiae PHO5 by Mcm1 and Forkhead Proteins.
S. Pondugula, D. W. Neef, W. P. Voth, R. P. Darst, A. Dhasarathy, M. M. Reynolds, S. Takahata, D. J. Stillman, and M. P. Kladde (2009)
Mol. Cell. Biol.
29, 4891-4905
|Abstract »|Full Text »|PDF »