The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
The second wave of synthetic biology: from modules to systems
Abstract
Synthetic biology is a research field that combines the investigative nature of biology with the constructive nature of engineering. Efforts in synthetic biology have largely focused on the creation and perfection of genetic devices and small modules that are constructed from these devices. But to view cells as true 'programmable' entities, it is now essential to develop effective strategies for assembling devices and modules into intricate, customizable larger scale systems. The ability to create such systems will result in innovative approaches to a wide range of applications, such as bioremediation, sustainable energy production and biomedical therapies.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“In contrast to classical approaches it is highly structured and biological networks are split into smaller functional modules [11,183], leading to complex optimization needs.”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [11]
Citations
Cites
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Stability and Complexity in Model Ecosystems
May, R. M. (2001) · Princeton University Press eBooks · doi:10.1515/9780691206912 · Cited by 5,229
A synthetic oscillatory network of transcriptional regulators
Elowitz, M., & Leibler, S. (2000) · Nature · doi:10.1038/35002125 · Cited by 4,812
Construction of a genetic toggle switch in Escherichia coli
Gardner, T. S., Cantor, C. R., & Collins, J. J. (2000) · Nature · doi:10.1038/35002131 · Cited by 4,310
STABILITY AND COMPLEXITY IN MODEL ECOSYSTEMS
Schoener, T. W., & May, R. M. (1974) · Evolution · doi:10.1111/j.1558-5646.1974.tb00784.x · Cited by 3,989
Production of the antimalarial drug precursor artemisinic acid in engineered yeast
Ro, D.-K., Paradise, E. M., Ouellet, M., Fisher, K. J., Newman, K. L., Ndungu, J. M., Ho, K. A., Eachus, R. A., Ham, T. S., Kirby, J., et al. (2006) · Nature · doi:10.1038/nature04640 · Cited by 2,805
Stability and Complexity in Model Ecosystems.
Schoener, T. W., & May, R. M. (1974) · Evolution · doi:10.2307/2407184 · Cited by 1,757
Engineering a mevalonate pathway in Escherichia coli for production of terpenoids
Martin, V. J. J., Pitera, D. J., Withers, S. T., Newman, J. D., & Keasling, J. D. (2003) · Nature Biotechnology · doi:10.1038/nbt833 · Cited by 1,720
PEST sequences and regulation by proteolysis
Rechsteiner, M., & Rogers, S. W. (1996) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(96)10031-1 · Cited by 1,707
Noise in eukaryotic gene expression
Blake, W. J., Kærn, M., Cantor, C. R., & Collins, J. J. (2003) · Nature · doi:10.1038/nature01546 · Cited by 1,636
Flagged first, then by citations
Research works printed but not linked: 6
- Basu, S. & Weiss, R. in First Workshop on Non-Silicon Computation (NSC-1) 54–61 (Cambridge, 2002).
- Weiss, R. & Knight, T. F. Jr. in DNA6: Sixth International Meeting on DNA Based Computers (eds Condon, A. & Rozenberg, G.) 1–16 (LNCS 2054, Springer, Berlin, 2001).
- Murray, J. D. & ebrary Inc. An Introduction. 3rd edn (Springer, New York; London, 2002).
- Beal, J. & Bachrach, J. in Spatial Computing Workshop, at 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (Venice, Italy, 2008).
- Nagpal, R., Kondacs, A. & Chang, C. in AAAI Spring Symposium on Computational Synthesis: From Basic Building Blocks to High Level Functionality (AAAI, Stanford, 2003).
- Voigt, C. A. Community collection. Registry of Standard Biological Parts [online] (2008).
Cited by
Sorted by citations
Items 401–500 of 999
SMT-Based Analysis of Biological Computation
Yordanov, B., Wintersteiger, C. M., Hamadi, Y., & Kugler, H. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38088-4_6 · Cited by 30
N-Terminal-Based Targeted, Inducible Protein Degradation in Escherichia coli
Sekar, K., Gentile, A. M., Bostick, J. W., & Tyo, K. E. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149746 · Cited by 29
Synthesis and cell-free cloning of DNA libraries using programmable microfluidics
Yehezkel, T. B., Rival, A., Raz, O., Cohen, R., Marx, Z., Cámara, M., Dubern, J., Koch, B. M., Heeb, S., Krasnogor, N., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1087 · Cited by 29
A Multi-Functional Synthetic Gene Network: A Frequency Multiplier, Oscillator and Switch
Purcell, O., di Bernardo, M., Grierson, C. S., & Savery, N. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016140 · Cited by 27
Structure, evolution and dynamics of transcriptional regulatory networks
Babu, M. M. (2010) · Biochemical Society Transactions · doi:10.1042/bst0381155 · Cited by 28
Automated Design of Genetic Toggle Switches with Predetermined Bistability
Chen, S., Zhang, H. M., Shi, H., Ji, W., Feng, J., Gong, Y., Yang, Z., & Ouyang, Q. (2012) · ACS Synthetic Biology · doi:10.1021/sb300027y · Cited by 28
Cheng, H.-Y., Masiello, C. A., Bennett, G. N., & Silberg, J. J. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b01415 · Cited by 27
Cybergenetics: Theory and Methods for Genetic Control System
Khammash, M., di Bernardo, M., & di Bernardo, M. (2019) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc40024.2019.9030209 · Cited by 29
Moreb, E. A., Ye, Z., Efromson, J. P., Hennigan, J. N., Menacho‐Melgar, R., & Lynch, M. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00182 · Cited by 28
Cui, W., Lin, Q., Hu, R., Han, L., Cheng, Z., Zhang, L., & Zhou, Z. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00050 · Cited by 28
Nylund, P. A., Ferràs, X., Pareras, L., & Brem, A. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.05.071 · Cited by 30
Woodruff, L. B. A., May, B. L., Warner, J. R., & Gill, R. T. (2013) · Biotechnology and Bioengineering · doi:10.1002/bit.24840 · Cited by 28
Expanding the landscape of biological computation with synthetic multicellular consortia
Solé, R. V., & Macía, J. (2013) · Natural Computing · doi:10.1007/s11047-013-9380-y · Cited by 24
In Vitro Reconstitution of a CaMKII Memory Switch by an NMDA Receptor-Derived Peptide
Urakubo, H., Sato, M., Ishii, S., & Kuroda, S. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2014.01.026 · Cited by 26
Engineering Biology and Society: Reflections on Synthetic Biology
Calvert, J. E. (2013) · Science Technology and Society · doi:10.1177/0971721813498501 · Cited by 31
Wei, M., Li, Z., Li, T., Wu, B., Liu, Y., Qu, J., Li, X., Li, L., Cai, L., & Wang, P. G. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b00953 · Cited by 28
Scalable Plasmid Transfer using Engineered P1-based Phagemids
Kittleson, J. T., DeLoache, W., Cheng, H.-Y., & Anderson, J. C. (2012) · ACS Synthetic Biology · doi:10.1021/sb300054p · Cited by 28
Synthetic Biology of Natural ProductsPreprint
Breitling, R., & Takano, E. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a023994 · Cited by 28
Adjusting Phenotypes by Noise Control
Kim, K. H., & Sauro, H. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002344 · Cited by 26
Shastri, V. P. (2015) · MRS Bulletin · doi:10.1557/mrs.2015.118 · Cited by 27
Needs and opportunities in bio-design automation: four areas for focus
Appleton, E., Densmore, D. M., Madsen, C. K., & Roehner, N. (2017) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2017.08.005 · Cited by 27
Ji, C.-H., Kim, H., & Kang, H. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00001 · Cited by 27
Modular electron transfer circuits for synthetic biology
Agapakis, C. M., & Silver, P. A. (2010) · Bioengineered Bugs · doi:10.4161/bbug.1.6.12462 · Cited by 27
The interplay between microevolution and community structure in microbial populations
O’Brien, S., Hodgson, D. J., & Buckling, A. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2013.02.022 · Cited by 25
Tipping Points in Seaweed Genetic Engineering: Scaling Up Opportunities in the Next Decade
Lin, H., & Qin, S. (2014) · Marine Drugs · doi:10.3390/md12053025 · Cited by 28
A control theoretic framework for modular analysis and design of biomolecular networks
Vecchio, D. D. (2013) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2013.09.011 · Cited by 26
Signal-to-Noise Ratio Measures Efficacy of Biological Computing Devices and Circuits
Beal, J. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00093 · Cited by 26
Pareto Optimal Design for Synthetic Biology
Patanè, A., Santoro, A., Costanza, J., Carapezza, G., & Nicosia, G. (2015) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2015.2467214 · Cited by 26
Loads Bias Genetic and Signaling Switches in Synthetic and Natural Systems
Lyons, S. M., Xu, W., Medford, J. I., & Prasad, A. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003533 · Cited by 27
Design principles of stripe-forming motifs: the role of positive feedback
Munteanu, A., Cotterell, J., Solé, R. V., & Sharpe, J. A. (2014) · Scientific Reports · doi:10.1038/srep05003 · Cited by 28
Multidisciplinary Design Optimization of Dynamic Engineering Systems
Allison, J. T., & Herber, D. R. (2013) · AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (SDM) · doi:10.2514/6.2013-1462 · Cited by 26
Reproducibility of High-Throughput Plate-Reader Experiments in Synthetic Biology
Chavez, M., Ho, J., & Tan, C. (2016) · ACS Synthetic Biology · doi:10.1021/acssynbio.6b00198 · Cited by 26
Synthetic biology era: Improving antibiotic’s world
Guzmán‐Trampe, S., Ceapă, C. D., Manzo‐Ruiz, M., & Sánchez, S. (2017) · Biochemical Pharmacology · doi:10.1016/j.bcp.2017.01.015 · Cited by 27
Khan, S. A., Somvanshi, P., Bhardwaj, T., Mandal, R. K., Dar, S. A., Wahid, M., Jawed, A., Lohani, M., Khan, M., Areeshi, M. Y., et al. (2017) · Journal of Cellular Biochemistry · doi:10.1002/jcb.26458 · Cited by 26
Standing Reserves of Function: A Heideggerian Reading of Synthetic Biology
Schyfter, P. (2011) · Philosophy & Technology · doi:10.1007/s13347-011-0053-4 · Cited by 25
Predicting essential genes in prokaryotic genomes using a linear method: ZUPLS
Song, K., Tong, T., & Wu, F. (2014) · Integrative Biology · doi:10.1039/c3ib40241j · Cited by 25
G Protein–Coupled Receptors Revisited: Therapeutic Applications Inspired by Synthetic Biology
Heng, B. C., Aubel, D., & Fussenegger, M. (2013) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-011613-135921 · Cited by 26
A Computational Method for Automated Characterization of Genetic Components
Yordanov, B., Dalchau, N., Grant, P. K., Pedersen, M., Emmott, S., Haseloff, J. P., & Phillips, A. (2014) · ACS Synthetic Biology · doi:10.1021/sb400152n · Cited by 25
A Synthetic Microbial Operational Amplifier
Zeng, J., Teo, J. J. Y., Banerjee, A., Chapman, T. W., Kim, J., & Sarpeshkar, R. (2018) · ACS Synthetic Biology · doi:10.1021/acssynbio.8b00138 · Cited by 25
Cappelletti, D., Gupta, A., & Khammash, M. (2020) · Journal of The Royal Society Interface · doi:10.1098/rsif.2020.0437 · Cited by 24
Emergent Damped Oscillation Induced by Nutrient-Modulating Growth Feedback
Melendez-Alvarez, J. R., He, C., Zhang, R., Kuang, Y., & Tian, X. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00041 · Cited by 24
The rise of the biocyborg: synthetic biology, artificial chimerism and human enhancement
Pio‐Lopez, L. (2021) · New Genetics and Society · doi:10.1080/14636778.2021.2007064 · Cited by 30
Multiobjective H2/H∞ synthetic gene network design based on promoter libraries
Wu, C., Zhang, W., & Chen, B. (2011) · Mathematical Biosciences · doi:10.1016/j.mbs.2011.07.001 · Cited by 25
Upgrading biomaterials with synthetic biological modules for advanced medical applications
Wagner, H. J., Sprenger, A., Rebmann, B., & Weber, W. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.05.004 · Cited by 25
Computational design of biological circuits: putting parts into context
Karamasioti, E., Lormeau, C., & Stelling, J. (2017) · Molecular Systems Design & Engineering · doi:10.1039/c7me00032d · Cited by 27
Epistatic Interactions in the ArabinoseCis-Regulatory Element
Lagator, M., Igler, C., Moreno, A. B., Guet, C. C., & Bollback, J. P. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv269 · Cited by 26
Synthetic Biology Speeds Up Drug Target Discovery
Xie, Y., Yang, Y.-F., He, Y., Wang, X., Zhang, P., Li, H., & Liang, S. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00119 · Cited by 24
A Framework for Genetic Logic Synthesis
Vaidyanathan, P., Der, B. S., Bhatia, S. P., Roehner, N., Silva, R., Voigt, C. A., & Densmore, D. M. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2443832 · Cited by 26
MarpoDB: An open registry for Marchantia polymorpha genetic parts
Delmans, M., Pollak, B., & Haseloff, J. P. (2017) · Plant and Cell Physiology · doi:10.1093/pcp/pcw201 · Cited by 23
Metabolism Instead of Machine: Towards an Ontology of Hybrids
Rijssenbeek, J., Blok, V., & Robaey, Z. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00554-y · Cited by 26
Status of impact of abiotic stresses on global agriculture
Nehra, A., Kalwan, G., Gill, R., Nehra, K., Agarwala, N., Jain, P. K., Naeem, M., Tuteja, N. K., Pudake, R. N., & Gill, S. S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18500-7.00001-6 · Cited by 23
Engineering Microbial Biosensors
Goers, L., Kylilis, N., Tomazou, M., Wen, K. Y., Freemont, P. S., & Polizzi, K. M. (2013) · Methods in microbiology · doi:10.1016/b978-0-12-417029-2.00005-4 · Cited by 23
Rational design of ‘controller cells’ to manipulate protein and phenotype expression
Zargar, A., Quan, D. N., Emamian, M., Tsao, C. Y., Wu, H., Virgile, C., & Bentley, W. E. (2015) · Metabolic Engineering · doi:10.1016/j.ymben.2015.04.001 · Cited by 23
Making big promises come true? Articulating and realizing value in synthetic biology
Frow, E. (2013) · BioSocieties · doi:10.1057/biosoc.2013.28 · Cited by 23
Regulation of bacteria population behaviors by AI-2 “consumer cells” and “supplier cells”
Quan, Y., Meng, F., Ma, X., Song, X., Liu, X., Gao, W., Dang, Y., Meng, Y., Cao, M., & Song, C. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1107-2 · Cited by 23
Arabidopsis: the original plant chassis organism
Holland, C. K., & Jez, J. M. (2018) · Plant Cell Reports · doi:10.1007/s00299-018-2286-5 · Cited by 25
Organizing genome engineering for the gigabase scale
Bartley, B., Beal, J., Karr, J. R., & Strychalski, E. A. (2020) · Nature Communications · doi:10.1038/s41467-020-14314-z · Cited by 23
Nonlinear Control of Networked Dynamical Systems
Morrison, M., & Kutz, J. N. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3032117 · Cited by 22
Programming languages for synthetic biology
Umesh, P., Naveen, F., Rao, C. U. M., & Nair, A. S. (2010) · Systems and Synthetic Biology · doi:10.1007/s11693-011-9070-y · Cited by 22
The Effect of Loads in Molecular Communications
McBride, C. D., Shah, R., & Vecchio, D. D. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2915330 · Cited by 21
A Bayesian Approach to Extracting Kinetic Information from Artificial Enzymatic Networks
Baltussen, M. G., van de Wiel, J., Regueiro, C. L. F., Jakštaitė, ., & Huck, W. T. S. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c00659 · Cited by 22
Ma, Y., Su, S., Fu, Z., Zhou, C., Qiao, B., Wu, Y., & Yuan, Y. (2024) · Cell Research · doi:10.1038/s41422-024-00934-3 · Cited by 22
Kang, Z., Zhang, J., Jin, P. K., & Yang, S. (2015) · Bioengineered · doi:10.1080/21655979.2015.1011029 · Cited by 22
Systems Biology, Synthetic Biology and Control Theory: A promising golden braid
Cury, J. E. R., & Baldissera, F. L. (2013) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2013.03.006 · Cited by 23
Available methods for assembling expression cassettes for synthetic biology
Wang, T., Ma, X., Zhu, H., Li, A., Du, G., & Chen, J. (2012) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-012-3920-8 · Cited by 22
Sahota, G., & Stormo, G. D. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq501 · Cited by 22
Mining Environmental Plasmids for Synthetic Biology Parts and Devices
Martínez‐García, E., Benedetti, I., Hueso‐Gil, Á., & de Lorenzo, V. (2015) · Microbiology Spectrum · doi:10.1128/microbiolspec.plas-0033-2014 · Cited by 21
Rational Design of an Ultrasensitive Quorum-Sensing Switch
Zeng, W., Du, P., Lou, Q., Wu, L., Zhang, H. M., Lou, C., Wang, H., & Ouyang, Q. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.6b00367 · Cited by 22
Robust gene expression control in human cells with a novel universal TetR aptamer splicing module
Mol, A. A., Groher, F., Schreiber, B., Ruehmkorff, C., & Suess, B. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz753 · Cited by 23
Silva‐Rocha, R., & de Lorenzo, V. (2011) · Molecular BioSystems · doi:10.1039/c1mb05094j · Cited by 20
Synthetic biology for improving cell fate decisions and tissue engineering outcomes
Vogel, A. M., Persson, K. M., Seamons, T. R., & Deans, T. L. (2019) · Emerging Topics in Life Sciences · doi:10.1042/etls20190091 · Cited by 23
Biological signal processing filters via engineering allosteric transcription factors
Groseclose, T. M., Hersey, A. N., Huang, B. D., Realff, M. J., & Wilson, C. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2111450118 · Cited by 21
Hyperdimensional computing: A fast, robust, and interpretable paradigm for biological data
Stock, M., Criekinge, W. V., Boeckaerts, D., Taelman, S., Haeverbeke, M. V., Dewulf, P., & Bernard De Baets, C. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012426 · Cited by 25
Control of protein concentrations in heterogeneous cell populations
Vignoni, A., Oyarzún, D. A., Picó, J., & Stan, G.-B. V. (2013) · European Control Conference (ECC) · doi:10.23919/ecc.2013.6669828 · Cited by 21
Design and Construction of “Synthetic Species”
Moreno, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039054 · Cited by 22
Synchronization of Degrade-and-Fire Oscillations via a Common Activator
Mather, W., Hasty, J., & Tsimring, L. S. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.128102 · Cited by 21
Mitigation of resource competition in synthetic genetic circuits through feedback regulation
Hamadeh, A., & Vecchio, D. D. (2014) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2014.7039985 · Cited by 21
Latent phenotypes pervade gene regulatory circuits
Payne, J. L., & Wagner, A. (2014) · BMC Systems Biology · doi:10.1186/1752-0509-8-64 · Cited by 23
Optimal Part and Module Selection for Synthetic Gene Circuit Design Automation
Huynh, L. N., & Tagkopoulos, I. (2014) · ACS Synthetic Biology · doi:10.1021/sb400139h · Cited by 21
Benedito, V. A., & Modolo, L. V. (2014) · Recent Patents on Biotechnology · doi:10.2174/1872208307666131218125801 · Cited by 21
Introduction to Biofilm Engineering
Rathinam1, N. K., & Sani2, R. K. (2019) · ACS symposium series · doi:10.1021/bk-2019-1323 · Cited by 21
Translation initiation events on structured eukaryotic mRNAs generate gene expression noise
Dacheux, E., Malys, N., Meng, X., Ramachandran, V. K., Mendes, P., & McCarthy, J. E. G. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx430 · Cited by 21
Putting RNA to work: Translating RNA fundamentals into biotechnological engineering practice
Peters, G., Coussement, P., Maertens, J., Lammertyn, J., & Mey, M. D. (2015) · Biotechnology Advances · doi:10.1016/j.biotechadv.2015.10.011 · Cited by 21
Saccharomyces cerevisiae: A Unicellular Model Genetic Organism of Enduring Importance
Hanson, P. K. (2018) · Current Protocols Essential Laboratory Techniques · doi:10.1002/cpet.21 · Cited by 23
Genetically encoded RNA nanodevices for cellular imaging and regulation
Yu, Q., Ren, K., & You, M. (2021) · Nanoscale · doi:10.1039/d0nr08301a · Cited by 20
Engineering Prokaryote Synthetic Biology Biosensors
Wan, X., Ho, T. Y. H., & Wang, B. (2021) · Springer eBooks · doi:10.1007/978-3-030-23217-7_131 · Cited by 20
Whole-Genome Synthesis and Characterization of Viable S13-Like Bacteriophages
Liu, Y., Han, Y., Huang, W., Duan, Y., Mou, L., Jiang, Z., Fa, P., Xie, J., Diao, R., Chen, Y., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041124 · Cited by 20
Model-based design of synthetic, biological systems
Crook, N., & Alper, H. S. (2012) · Chemical Engineering Science · doi:10.1016/j.ces.2012.12.022 · Cited by 20
Population-based microbial computing: a third wave of synthetic biology?
Amos, M. (2014) · International Journal of General Systems · doi:10.1080/03081079.2014.921001 · Cited by 19
Stable integration of an engineered megabase repeat array into the maize genome
Zhang, H., Phan, B. H., Wang, K., Artelt, B. J., Jiang, J., Parrott, W. A., & Dawe, R. K. (2012) · The Plant Journal · doi:10.1111/j.1365-313x.2011.04867.x · Cited by 20
A social–ecological framework for “micromanaging” microbial services
Peralta, A. L., Stuart, D., Kent, A. D., & Lennon, J. T. (2014) · Frontiers in Ecology and the Environment · doi:10.1890/130308 · Cited by 20
Synthetic Biology Parts for the Storage of Increased Genetic Information in Cells
Morris, S. E., Feldman, A. W., & Romesberg, F. E. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00115 · Cited by 20
Multidimensional Characterization of Parts Enhances Modeling Accuracy in Genetic Circuits
Gómez-Schiavon, M., Dods, G., El‐Samad, H., & Ng, A. H. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00288 · Cited by 20
Organizing genome engineering for the gigabase scale
Bartley, B., Beal, J., Karr, J. R., & Strychalski, E. A. (2020) · RePEc: Research Papers in Economics · Cited by 20
Predicting Composition of Genetic Circuits with Resource Competition: Demand and Sensitivity
McBride, C. D., & Vecchio, D. D. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00281 · Cited by 19
Engineering Biology to Address Global Problems: Synthetic Biology Markets, Needs, and Applications
Kelley, N. J., Whelan, D., Kerr, E., Apel, A., Beliveau, R., & Scanlon, R. (2014) · Industrial Biotechnology · doi:10.1089/ind.2014.1515 · Cited by 20
A synthetic circuit for selectively arresting daughter cells to create aging populations
Afonso, B., Silver, P. A., & Ajo-Franklin, C. M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq075 · Cited by 20
O’Hagan, S., Knowles, J. D., & Kell, D. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048862 · Cited by 20
Predicting Transcriptional Output of Synthetic Multi-input Promoters
Zong, D. M., Cinar, S., Shis, D. L., Josić́, K., Ott, W., & Bennett, M. R. (2018) · ACS Synthetic Biology · doi:10.1021/acssynbio.8b00165 · Cited by 18
Practical application of synthetic biology principles
Marner, W. D. (2009) · Biotechnology Journal · doi:10.1002/biot.200900167 · Cited by 20
Metadata
- Authors
- Purnick, P. E. M., & Weiss, R.
- Affiliations
- Princeton University (US)
- ORCID
- Weiss, Ron
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2009-06
- Volume
- 10
- Issue
- 6
- Pages
- 410-422
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W2041985017
- Cited by
- 1,181
- References
- 125
- Citations by year
- 2026: 34 · 2025: 32 · 2024: 39 · 2023: 31 · 2022: 40 · 2021: 50 · 2020: 68 · 2019: 67 · 2018: 61 · 2017: 68 · 2016: 70 · 2015: 93 · 2014: 129 · 2013: 112 · 2012: 121
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Molecular Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Edinburgh
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Keywords
- synthetic biology, gene modules, systems biology, cell engineering, bioremediation, sustainable energy production, biomedical therapy
- MeSH terms
- Bacteria, Biology, Biotechnology, Cell Line, Computer Simulation, Engineering, Gene Expression Regulation, Humans, Models, Biological, Software, Genome, Nanotechnology, Epigenesis, Genetic, Gene Regulatory Networks
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