The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Zipf’s Law in Gene Expression
Open accessAbstract
Using data from gene expression databases on various organisms and tissues, including yeast, nematodes, human normal and cancer tissues, and embryonic stem cells, we found that the abundances of expressed genes exhibit a power-law distribution with an exponent close to -1; i.e., they obey Zipf's law. Furthermore, by simulations of a simple model with an intracellular reaction network, we found that Zipf's law of chemical abundance is a universal feature of cells where such a network optimizes the efficiency and faithfulness of self-reproduction. These findings provide novel insights into the nature of the organization of reaction dynamics in living cells.
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Cites
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706
Compositional genomes: Prebiotic information transfer in mutually catalytic noncovalent assemblies
Segré, D., Ben-Eli, D., & Lancet, D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.8.4112 · Cited by 398
Research works printed but not linked: 12
- 10.1038/35036627 · DOI · Paper page
- 10.1038/35075138 · DOI · Paper page
- G. K. Zipf, 1949, Human Behavior and the Principle of Least Effort
- 10.1101/gr.10.7.1051 · DOI · Paper page
- V. E. Velculescu, 1997, Cell, 88, 243, 10.1016/S0092-8674(00)81845-0 · DOI · Paper page
- 10.1101/gr.184401 · DOI · Paper page
- V. E. Velculescu, 1995, Science, 270, 484, 10.1126/science.270.5235.484 · DOI · Paper page
- 10.1103/PhysRevLett.71.4083 · DOI · Paper page
- P. Bak, 1996, How Nature Works, 10.1007/978-1-4757-5426-1 · DOI · Paper page
- I. Xenarios, 2000, Nucleic Acids Res., 28, 289, 10.1093/nar/28.1.289 · DOI · Paper page
- 10.1006/jtbi.2001.2481 · DOI
- V. A. Kuznetsov, 2002, Genetics, 161, 1321, 10.1093/genetics/161.3.1321 · DOI
Cited by
Marguerat, S., Schmidt, A., Codlin, S., Chen, W., Aebersold, R., & Bähler, J. (2012) · Cell · doi:10.1016/j.cell.2012.09.019 · Cited by 571
Eizirik, D. L., Sammeth, M., Bouckenooghe, T., Bottu, G., Sisino, G., Igoillo-Esteve, M., Ortis, F., Santin, I., Colli, M. L., Barthson, J., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002552 · Cited by 465
Universality in network dynamics
Barzel, B., & Barabási, A.-L. (2013) · Nature Physics · doi:10.1038/nphys2741 · Cited by 396
Invariant Distribution of Promoter Activities in Escherichia coli
Zaslaver, A., Kaplan, S., Bren, A., Jinich, A., Mayo, A., Dekel, E., Alon, U., & Itzkovitz, S. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000545 · Cited by 92
Approaches to the Origin of Life on Earth
Kauffman, S. A. (2011) · Life · doi:10.3390/life1010034 · Cited by 74
Metadata
- Authors
- Furusawa, C., & Kaneko, K.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2003-02-26
- Volume
- 90
- Issue
- 8
- Pages
- 088102-088102
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1980509985
- Cited by
- 249
- References
- 2
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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