The DOI matches its Crossref record; 70 of the 72 references it cites were found in a registry or an index.
Design principles of biochemical oscillators
Open accessAbstract
Cellular rhythms are generated by complex interactions among genes, proteins and metabolites. They are used to control every aspect of cell physiology, from signalling, motility and development to growth, division and death. We consider specific examples of oscillatory processes and discuss four general requirements for biochemical oscillations: negative feedback, time delay, sufficient 'nonlinearity' of the reaction kinetics and proper balancing of the timescales of opposing chemical reactions. Positive feedback is one mechanism to delay the negative-feedback signal. Biological oscillators can be classified according to the topology of the positive- and negative-feedback loops in the underlying regulatory mechanism.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Regardless of the type of representation chosen, the importance of taking into account the system dynamics has to be acknowledged [25,26].”
From Reverse engineering and identification in systems biology: strategies, perspectives and challenges (2014) · cites this paper as [26]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.
Monod, J., Wyman, J., & Changeux, J. (1965) · Journal of Molecular Biology · doi:10.1016/s0022-2836(65)80285-6 · Cited by 7,681
A synthetic oscillatory network of transcriptional regulators
Elowitz, M., & Leibler, S. (2000) · Nature · doi:10.1038/35002125 · Cited by 4,812
Oscillation and Chaos in Physiological Control Systems
Mackey, M. C., & Glass, L. (1977) · Science · doi:10.1126/science.267326 · Cited by 4,184
A theory of biological pattern formation
Gierer, A., & Meinhardt, H. (1972) · Kybernetik · doi:10.1007/bf00289234 · Cited by 3,158
Molecular Bases for Circadian Clocks
Dunlap, J. C. (1999) · Cell · doi:10.1016/s0092-8674(00)80566-8 · Cited by 2,900
The IκB-NF-κB Signaling Module: Temporal Control and Selective Gene Activation
Hoffmann, A., Levchenko, A., Scott, M. L., & Baltimore, D. (2002) · Science · doi:10.1126/science.1071914 · Cited by 1,890
Evans, T., Rosenthal, E. T., Youngblom, J., Distel, D. L., & Hunt, T. (1983) · Cell · doi:10.1016/0092-8674(83)90420-8 · Cited by 1,516
Cell-signalling dynamics in time and space
Kholodenko, B. N. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1838 · Cited by 1,347
An amplified sensitivity arising from covalent modification in biological systems.
Goldbeter, A., & Koshland, D. E. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.11.6840 · Cited by 1,209
Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression
Nelson, D. E., Ihekwaba, A. E. C., Elliott, M., Johnson, J. R., Gibney, C. A., Foreman, B. E., Nelson, G., See, V., Horton, C. A., Spiller, D. G., et al. (2004) · Science · doi:10.1126/science.1099962 · Cited by 1,186
Research works printed but not linked: 2
- Thomas, R. & D'Ari, R. Biological Feedback (CRC Press, Boca Raton, 1990).
- Segel, L. A. Biological Kinetics (Cambridge University Press, Cambridge, 1991).
Cited by
Sorted by citations
Transcriptional architecture of the mammalian circadian clock
Takahashi, J. S. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.150 · Cited by 2,786
A dynamic and intricate regulatory network determines Pseudomonas aeruginosa virulence
Balasubramanian, D., Schneper, L. M., Kumari, H., & Mathee, K. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1039 · Cited by 604
Steering cell migration: lamellipodium dynamics and the regulation of directional persistence
Krause, M., & Gautreau, A. M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3861 · Cited by 609
Materials learning from life: concepts for active, adaptive and autonomous molecular systems
Merindol, R., & Walther, A. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00738d · Cited by 547
Greenwald, E. C., Mehta, S., & Zhang, J. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00333 · Cited by 502
The nanotechnology of life-inspired systems
Grzybowski, B. A., & Huck, W. T. S. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.116 · Cited by 453
Clocks not winding down: unravelling circadian networks
Zhang, E. E., & Kay, S. A. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2995 · Cited by 446
Quantitative and logic modelling of molecular and gene networks
Novère, N. G. L. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3885 · Cited by 435
Sterling, P., & Laughlin, S. (2015) · doi:10.7551/mitpress/9780262028707.001.0001 · Cited by 482
The bacterial cell division proteins FtsA and FtsZ self-organize into dynamic cytoskeletal patterns
Loose, M., & Mitchison, T. J. (2014) · Nature Cell Biology · doi:10.1038/ncb2885 · Cited by 378
Oates, A. C., Morelli, L. G., & Ares, S. (2012) · Development · doi:10.1242/dev.063735 · Cited by 385
Cell cycle control across the eukaryotic kingdom
Harashima, H., Dißmeyer, N., & Schnittger, A. (2013) · Trends in Cell Biology · doi:10.1016/j.tcb.2013.03.002 · Cited by 376
Modeling the Cell Cycle: Why Do Certain Circuits Oscillate?
Ferrell, J. E., Tsai, T. Y.-C., & Yang, Q. (2011) · Cell · doi:10.1016/j.cell.2011.03.006 · Cited by 369
Life-like motion driven by artificial molecular machines
Lancia, F., Ryabchun, A., & Katsonis, N. (2019) · Nature Reviews Chemistry · doi:10.1038/s41570-019-0122-2 · Cited by 346
Synthetic in vitro transcriptional oscillators
Kim, J., & Winfree, E. (2011) · Molecular Systems Biology · doi:10.1038/msb.2010.119 · Cited by 316
Functional Motifs in Biochemical Reaction Networks
Tyson, J. J., & Novák, B. (2010) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.012809.103457 · Cited by 301
Self-citationEfficient modeling, simulation and coarse-graining of biological complexity with NFsim
Sneddon, M. W., Faeder, J. R., & Emonet, T. (2010) · Nature Methods · doi:10.1038/nmeth.1546 · Cited by 287
Rational design of functional and tunable oscillating enzymatic networks
Semenov, S. N., Wong, A. S. Y., van der Made, R. M., Postma, S. G. J., Groen, J., van Roekel, H. W. H., de Greef, T. F. A., & Huck, W. T. S. (2015) · Nature Chemistry · doi:10.1038/nchem.2142 · Cited by 285
Programming an in vitro DNA oscillator using a molecular networking strategy
Montagne, K., Plasson, R., Sakai, Y., Fujii, T., & Rondelez, Y. (2011) · Molecular Systems Biology · doi:10.1038/msb.2010.120 · Cited by 285
Emergent genetic oscillations in a synthetic microbial consortium
Chen, Y., Kim, J. K., Hirning, A. J., Josić́, K., & Bennett, M. R. (2015) · Science · doi:10.1126/science.aaa3794 · Cited by 283
Delay in Feedback Repression by Cryptochrome 1 Is Required for Circadian Clock Function
Ukai‐Tadenuma, M., Yamada, R. G., Xu, H., Ripperger, J. A., Liu, A. C., & Ueda, H. R. (2011) · Cell · doi:10.1016/j.cell.2010.12.019 · Cited by 264
Nonequilibrium physics in biology
Fang, X., Kruse, K., Lu, T., & Wang, J. (2019) · Reviews of Modern Physics · doi:10.1103/revmodphys.91.045004 · Cited by 268
Dynamics and Variability of ERK2 Response to EGF in Individual Living Cells
Cohen‐Saidon, C., Cohen, A., Sigal, A., Liron, Y., & Alon, U. S. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.11.025 · Cited by 245
Multifaceted pathways protect human skin from UV radiation
Natarajan, V. T., Ganju, P., Ramkumar, A., Grover, R., & Gokhale, R. S. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1548 · Cited by 244
The ups and downs of p53: understanding protein dynamics in single cells
Batchelor, E., Loewer, A., & Lahav, G. (2009) · Nature reviews. Cancer · doi:10.1038/nrc2604 · Cited by 250
Reverse engineering and identification in systems biology: strategies, perspectives and challenges
Villaverde, A. F., & Banga, J. R. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0505 · Cited by 229
Light-fuelled freestyle self-oscillators
Zeng, H., Lahikainen, M., Liu, L., Ahmed, Z., Wani, O. M., Wang, M., Yang, H., & Priimägi, A. (2019) · Nature Communications · doi:10.1038/s41467-019-13077-6 · Cited by 241
A mechanism for robust circadian timekeeping via stoichiometric balance
Kim, J. K., & Forger, D. B. (2012) · Molecular Systems Biology · doi:10.1038/msb.2012.62 · Cited by 223
Systems biology primer: the basic methods and approaches
Tavassoly, I., Goldfarb, J., & Iyengar, R. (2018) · Essays in Biochemistry · doi:10.1042/ebc20180003 · Cited by 228
Negative Feedback Enhances Robustness in the Yeast Polarity Establishment Circuit
Howell, A. S., Jin, M., Wu, C.-F., Zyla, T. R., Elston, T. C., & Lew, D. J. (2012) · Cell · doi:10.1016/j.cell.2012.03.012 · Cited by 202
Dynamics of TGF‐β/Smad signaling
Zi, Z., Chapnick, D. A., & Liu, X. (2012) · FEBS Letters · doi:10.1016/j.febslet.2012.03.063 · Cited by 203
Understanding microRNA-mediated gene regulatory networks through mathematical modelling
Lai, X., Wolkenhauer, O., & Vera, J. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw550 · Cited by 196
Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches
Kotaleski, J. H., & Blackwell, K. T. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2807 · Cited by 195
A comparative analysis of synthetic genetic oscillators
Purcell, O., Savery, N. J., Grierson, C. S., & di Bernardo, M. (2010) · Journal of The Royal Society Interface · doi:10.1098/rsif.2010.0183 · Cited by 190
Ultrasensitive response motifs: basic amplifiers in molecular signalling networks
Zhang, Q., Bhattacharya, S., & Andersen, M. E. (2013) · Open Biology · doi:10.1098/rsob.130031 · Cited by 186
Saccharomyces cerevisiae as a Model Organism: A Comparative Study
Karathia, H., Vilaprinyó, E., Albert Sorribas, B., & Alves, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016015 · Cited by 185
Min protein patterns emerge from rapid rebinding and membrane interaction of MinE
Loose, M., Fischer‐Friedrich, E., Herold, C., Kruse, K., & Schwille, P. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2037 · Cited by 182
Dissipative DNA nanotechnology
Grosso, E. D., Franco, E., Prins, L. J., & Ricci, F. (2022) · Nature Chemistry · doi:10.1038/s41557-022-00957-6 · Cited by 184
The free-energy cost of accurate biochemical oscillations
Cao, Y., Wang, H., Ouyang, Q., & Tu, Y. (2015) · Nature Physics · doi:10.1038/nphys3412 · Cited by 180
From word models to executable models of signaling networks using automated assembly
Gyori, B. M., Bachman, J. A., Subramanian, K., Muhlich, J. L., Galescu, L., & Sorger, P. K. (2017) · Molecular Systems Biology · doi:10.15252/msb.20177651 · Cited by 188
Oscillatory Dynamics of Cdc42 GTPase in the Control of Polarized Growth
Das, M. E., Drake, T., Wiley, D. J., Buchwald, P., Vavylonis, D., & Verde, F. (2012) · Science · doi:10.1126/science.1218377 · Cited by 174
Kinases and phosphatases in the mammalian circadian clock
Reischl, S., & Kramer, A. (2011) · FEBS Letters · doi:10.1016/j.febslet.2011.02.038 · Cited by 172
Understanding the temporal codes of intra-cellular signals
Behar, M., & Hoffmann, A. (2010) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2010.09.007 · Cited by 166
Quantitative Genetic Interactions Reveal Biological Modularity
Beltrão, P., Cagney, G., & Krogan, N. J. (2010) · Cell · doi:10.1016/j.cell.2010.05.019 · Cited by 159
Design Principles of Regulatory Networks: Searching for the Molecular Algorithms of the Cell
Lim, W. A., Lee, C. M., & Tang, C. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.12.020 · Cited by 162
Ptch1 and Gli regulate Shh signalling dynamics via multiple mechanisms
Cohen, M., Kicheva, A., Ribeiro, A., Blassberg, R. A., Page, K. M., Barnes, C. P., & Briscoe, J. (2015) · Nature Communications · doi:10.1038/ncomms7709 · Cited by 153
Exciting traffic jams: Nonlinear phenomena behind traffic jam formation on highways
Orosz, G., Wilson, R. E., Szalai, R., & Stépàn, G. (2009) · Physical Review E · doi:10.1103/physreve.80.046205 · Cited by 146
Blue light-mediated transcriptional activation and repression of gene expression in bacteria
Jayaraman, P., Devarajan, K., Chua, T., Zhang, H., Gunawan, E., & Poh, C. L. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw548 · Cited by 147
The Cdk1–APC/C cell cycle oscillator circuit functions as a time-delayed, ultrasensitive switch
Yang, Q., & Ferrell, J. E. (2013) · Nature Cell Biology · doi:10.1038/ncb2737 · Cited by 143
What Is Stress? A Systems Perspective
Giudice, M. D., Buck, C. L., Chaby, L. E., Gormally, B. M. G., Taff, C. C., Thawley, C. J., Vitousek, M. N., & Wada, H. (2018) · Integrative and Comparative Biology · doi:10.1093/icb/icy114 · Cited by 149
Jiang, Q., Fu, X., Yan, S., Li, R., Du, W., Cao, Z., Qian, F., & Grima, R. (2021) · Nature Communications · doi:10.1038/s41467-021-22919-1 · Cited by 143
Topology and Dynamics of the Zebrafish Segmentation Clock Core Circuit
Schröter, C. J., Ares, S., Morelli, L. G., Isakova, A., Hens, K., Soroldoni, D., Gajewski, M., Jülicher, F., Maerkl, S. J., Deplancke, B., et al. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001364 · Cited by 135
Chen, J., Xu, N., Wang, C., Huang, P., Huang, H., Jin, Z., Yu, Z., Cai, T., Jiao, R., & Xi, R. (2018) · Nature Cell Biology · doi:10.1038/s41556-017-0020-0 · Cited by 134
The Cell Cycle Switch Computes Approximate Majority
Cardelli, L., & Csikász‐Nagy, A. (2012) · Scientific Reports · doi:10.1038/srep00656 · Cited by 134
Nonlinear delay differential equations and their application to modeling biological network motifs
Glass, D. S., Jin, X., & Riedel-Kruse, I. H. (2021) · Nature Communications · doi:10.1038/s41467-021-21700-8 · Cited by 139
Understanding genetic variation – the value of systems biology
Hütt, M. ‐. (2013) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.12266 · Cited by 129
Inverse problems in systems biology
Engl, H. W., Flamm, C., Kügler, P., Lu, J., Müller, S., & Schuster, P. (2009) · Inverse Problems · doi:10.1088/0266-5611/25/12/123014 · Cited by 122
Feedback regulation of TGF-β signaling
Yan, X., Xiong, X., & Chen, Y.-G. (2018) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmx129 · Cited by 128
Thomas, P., Straube, A. V., & Grima, R. (2012) · BMC Systems Biology · doi:10.1186/1752-0509-6-39 · Cited by 121
Tian, X., Zhang, X. P., Liu, F., & Wang, W. (2009) · Physical Review E · doi:10.1103/physreve.80.011926 · Cited by 124
The Goodwin Model: Behind the Hill Function
Gonze, D., & Abou-Jaoudé, W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069573 · Cited by 122
Base-Catalyzed Feedback in the Urea−Urease Reaction
Hu, G., Pojman, J. A., Scott, S. K., Wrobel, M. M., & Taylor, A. F. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp106532d · Cited by 122
Chemical engines: driving systems away from equilibrium through catalyst reaction cycles
Amano, S., Borsley, S., Leigh, D. A., & Sun, Z. (2021) · Nature Nanotechnology · doi:10.1038/s41565-021-00975-4 · Cited by 122
Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks
Samaga, R., & Klamt, S. (2013) · Cell Communication and Signaling · doi:10.1186/1478-811x-11-43 · Cited by 116
Synthetic biology of minimal systems
Schwille, P., & Diez, S. (2009) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409230903074549 · Cited by 117
IFN-γ signaling maintains skin pigmentation homeostasis through regulation of melanosome maturation
Natarajan, V. T., Ganju, P., Singh, A. K., Vijayan, V., Kirty, K., Yadav, S., Puntambekar, S. S., Bajaj, S., Dani, P. P., Kar, H. K., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1304988111 · Cited by 106
Many roads to symmetry breaking: molecular mechanisms and theoretical models of yeast cell polarity
Goryachev, A. B., & Leda, M. (2017) · Molecular Biology of the Cell · doi:10.1091/mbc.e16-10-0739 · Cited by 112
Synchrony and pattern formation of coupled genetic oscillators on a chip of artificial cells
Tayar, A. M., Karzbrun, E., Noireaux, V., & Bar‐Ziv, R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710620114 · Cited by 110
Systems biology of cellular rhythms
Goldbeter, A., Gérard, C., Gonze, D., Leloup, J., & Dupont, G. (2012) · FEBS Letters · doi:10.1016/j.febslet.2012.07.041 · Cited by 114
Regulation of copper transport in Arabidopsis thaliana: a biochemical oscillator?
Peñarrubia, L., Andrés‐Colás, N., Moreno, J., & Puig, S. (2009) · JBIC Journal of Biological Inorganic Chemistry · doi:10.1007/s00775-009-0591-8 · Cited by 106
Feedback loops and reciprocal regulation: recurring motifs in the systems biology of the cell cycle
Ferrell, J. E. (2013) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2013.07.007 · Cited by 105
Gibson, A. S. C., Swart, J., & Tucker, R. (2017) · European Journal of Sport Science · doi:10.1080/17461391.2017.1321688 · Cited by 105
Shaping bacterial population behavior through computer-interfaced control of individual cells
Chait, R., Ruess, J., Bergmiller, T., Tkačik, G., & Guet, C. C. (2017) · Nature Communications · doi:10.1038/s41467-017-01683-1 · Cited by 103
Ribosome profiling reveals an important role for translational control in circadian gene expressionPreprint
Jang, C. J., Lahens, N. F., Hogenesch, J. B., & Sehgal, A. (2015) · Genome Research · doi:10.1101/gr.191296.115 · Cited by 105
Chemical pumps and flexible sheets spontaneously form self-regulating oscillators in solution
Manna, R. K., Shklyaev, O. E., & Balazs, A. C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022987118 · Cited by 102
Self-division of giant vesicles driven by an internal enzymatic reaction
Miele, Y., Medveczky, Z., Holló, G., Tegze, B., Derényi, I., Hórvölgyi, Z., Altamura, E., Lagzi, I., & Rossi, F. (2020) · Chemical Science · doi:10.1039/c9sc05195c · Cited by 105
Beyond symmetry-breaking: competition and negative feedback in GTPase regulation
Wu, C., & Lew, D. J. (2013) · Trends in Cell Biology · doi:10.1016/j.tcb.2013.05.003 · Cited by 101
A Statistical–Physical Model of Interference in Diffusion-Based Molecular Nanonetworks
Pierobon, M., & Akyildiz, I. F. (2014) · IEEE Transactions on Communications · doi:10.1109/tcomm.2014.2314650 · Cited by 99
LncRNAs in human cancers: signal from noise
Adnane, S., Marino, A., & Leucci, E. (2022) · Trends in Cell Biology · doi:10.1016/j.tcb.2022.01.006 · Cited by 98
Designing biological systems: Systems Engineering meets Synthetic Biology
Rollié, S., Mangold, M., & Sundmacher, K. (2011) · Chemical Engineering Science · doi:10.1016/j.ces.2011.10.068 · Cited by 100
Delayed Protein Synthesis Reduces the Correlation between mRNA and Protein Fluctuations
Gedeon, T., & Bokes, P. (2012) · Biophysical Journal · doi:10.1016/j.bpj.2012.06.025 · Cited by 95
Methods and Applications of Mobile Molecular Communication
Nakano, T., Okaie, Y., Kobayashi, S., Hara, T., Hiraoka, Y., & Haraguchi, T. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2917625 · Cited by 95
Feedback-controlled hydrogels with homeostatic oscillations and dissipative signal transduction
Zhang, H., Zeng, H., Eklund, A., Guo, H.-S., Priimagi, A., & Ikkala, O. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01241-x · Cited by 84
The Circadian Clock in Oral Health and Diseases
Papagerakis, S. M., Zheng, L., Schnell, S. D., Sartor, M., Somers, E. C., Marder, W., McAlpin, B. R., Kim, D. W., McHugh, J. B., & Papagerakis, P. (2013) · Journal of Dental Research · doi:10.1177/0022034513505768 · Cited by 95
Intracellular Oscillations and Waves
Beta, C., & Kruse, K. (2017) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-031016-025210 · Cited by 99
Ultradian oscillations and pulses: coordinating cellular responses and cell fate decisions
Isomura, A., & Kageyama, R. (2014) · Development · doi:10.1242/dev.104497 · Cited by 89
Taxa-function robustness in microbial communities
Eng, A., & Borenstein, E. (2018) · Microbiome · doi:10.1186/s40168-018-0425-4 · Cited by 89
The malaria parasite has an intrinsic clock
Rijo‐Ferreira, F., Acosta-Rodríguez, V. A., Abel, J. H., Kornblum, I., Bento, I., Kilaru, G., Klerman, E. B., Mota, M. M., & Takahashi, J. S. (2020) · Science · doi:10.1126/science.aba2658 · Cited by 89
Temporal and spatial oscillations in bacteria
Lenz, P., & Søgaard‐Andersen, L. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2612 · Cited by 87
Rhythmic transcription of Bmal1 stabilizes the circadian timekeeping system in mammals
Abe, Y. O., Yoshitane, H., Kim, D. W., Kawakami, S., Koebis, M., Nakao, K., Aiba, A., Kim, J. K., & Fukada, Y. (2022) · Nature Communications · doi:10.1038/s41467-022-32326-9 · Cited by 87
Efficient characterization of high-dimensional parameter spaces for systems biology
Zamora-Sillero, E., Hafner, M. A., Ibig, A., Stelling, J., & Wagner, A. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-142 · Cited by 86
Phase-Space Geometry of Mass-Conserving Reaction-Diffusion Dynamics
Brauns, F., Halatek, J., & Frey, E. (2020) · Physical Review X · doi:10.1103/physrevx.10.041036 · Cited by 86
Complex dynamics in a two-enzyme reaction network with substrate competition
Zhang, Y., Tsitkov, S., & Hess, H. (2018) · Nature Catalysis · doi:10.1038/s41929-018-0053-1 · Cited by 87
Elharar, Y., Roth, Z., Hermelin, I., Moon, A., Peretz, G., Shenkerman, Y., Vishkautzan, M., Khalaila, I., & Gur, E. (2014) · The EMBO Journal · doi:10.15252/embj.201387076 · Cited by 85
Cirit, M., Wang, C., & Haugh, J. M. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.148759 · Cited by 84
Activation and synchronization of the oscillatory morphodynamics in multicellular monolayer
Lin, S., Li, B., Lan, G., & Feng, X. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705492114 · Cited by 82
Nakano, T., Okaie, Y., Kobayashi, S., Koujin, T., Chan, C.-H., Hsu, Y., Obuchi, T., Hara, T., Hiraoka, Y., & Haraguchi, T. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2628037 · Cited by 84
Changes in Oscillatory Dynamics in the Cell Cycle of Early Xenopus laevis Embryos
Tsai, T. Y.-C., Theriot, J. A., & Ferrell, J. E. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001788 · Cited by 82
Positive Feedback Promotes Oscillations in Negative Feedback Loops
Ananthasubramaniam, B., & Herzel, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104761 · Cited by 80
Operator Sequence Alters Gene Expression Independently of Transcription Factor Occupancy in Bacteria
García, H. G., Sánchez, Á., Boedicker, J. Q., Osborne, M. L., Gelles, J., Kondev, J., & Phillips, R. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.06.004 · Cited by 81
Metadata
- Authors
- Novák, B., & Tyson, J. J.
- Affiliations
- University of Oxford (GB)
- Virginia Tech (US)
- Corresponding author
- Novák, Béla
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2008-10-30
- Volume
- 9
- Issue
- 12
- Pages
- 981-991
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- PMC
- PMC2796343
- OpenAlex
- W2030945597
- Cited by
- 1,137
- References
- 72
- Citations by year
- 2026: 56 · 2025: 56 · 2024: 71 · 2023: 52 · 2022: 77 · 2021: 80 · 2020: 79 · 2019: 67 · 2018: 81 · 2017: 69 · 2016: 60 · 2015: 57 · 2014: 65 · 2013: 62 · 2012: 72
- FWCI
- 3.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Molecular Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01gm078989-13)
- Biotechnology and Biological Sciences Research Council
- National Institute of General Medical Sciences (R01-GM078989, R01GM079207)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
- Keywords
- biochemical oscillators, cellular rhythms, negative feedback, time delay, positive feedback, gene regulatory networks, oscillations
- MeSH terms
- Animals, Biological Clocks, Circadian Rhythm, Kinetics, Models, Biological, Signal Transduction, Feedback, Physiological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review