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Gene Overexpression: Uses, Mechanisms, and Interpretation
Open accessAbstract
The classical genetic approach for exploring biological pathways typically begins by identifying mutations that cause a phenotype of interest. Overexpression or misexpression of a wild-type gene product, however, can also cause mutant phenotypes, providing geneticists with an alternative yet powerful tool to identify pathway components that might remain undetected using traditional loss-of-function analysis. This review describes the history of overexpression, the mechanisms that are responsible for overexpression phenotypes, tests that begin to distinguish between those mechanisms, the varied ways in which overexpression is used, the methods and reagents available in several organisms, and the relevance of overexpression to human disease.
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Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Expression of a single transfected cDNA converts fibroblasts to myoblasts
Davis, R. L., Weintraub, H., & Lassar, A. B. (1987) · Cell · doi:10.1016/0092-8674(87)90585-x · Cited by 3,385
Hinnen, A., Hicks, J. B., & Fink, G. R. (1978) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.75.4.1929 · Cited by 2,205
The Genetic Landscape of a Cell
Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., Koh, J. L. Y., Toufighi, K., Mostafavi, S., et al. (2010) · Science · doi:10.1126/science.1180823 · Cited by 2,162
Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutants
Tong, A. H. Y., Evangelista, M., Parsons, A. B., Xu, H., Bader, G. D., Pagé, N., Robinson, M., Raghibizadeh, S., Hogue, C. W. V., Bussey, H., et al. (2001) · Science · doi:10.1126/science.1065810 · Cited by 2,138
Evo-Devo and an Expanding Evolutionary Synthesis: A Genetic Theory of Morphological Evolution
Carroll, S. B. (2008) · Cell · doi:10.1016/j.cell.2008.06.030 · Cited by 2,067
Brennecke, J., Hipfner, D. R., Stark, A., Russell, R. B., & Cohen, S. M. (2003) · Cell · doi:10.1016/s0092-8674(03)00231-9 · Cited by 2,042
Activation of the estrogen receptor through phosphorylation by mitogen-activated protein kinase
Kato, S., Endoh, H., Masuhiro, Y., Kitamoto, T., Uchiyama, S., Sasaki, H., Masushige, S., Gotoh, Y., Nishida, E., Kawashima, H., et al. (1995) · Science · doi:10.1126/science.270.5241.1491 · Cited by 1,964
Global Analysis of Protein Activities Using Proteome Chips
Zhu, H., Bilgin, M., Bangham, R., Hall, D., Casamayor, A., Bertone, P., Lan, N., Jansen, R., Bidlingmaier, S., Houfek, T., et al. (2001) · Science · doi:10.1126/science.1062191 · Cited by 1,884
Control of leaf morphogenesis by microRNAs
Palatnik, J. F., Allen, E., Wu, X., Schommer, C., Schwab, R., Carrington, J. C., & Weigel, D. (2003) · Nature · doi:10.1038/nature01958 · Cited by 1,838
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Metadata
- Authors
- Prelich, G.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-03-01
- Volume
- 190
- Issue
- 3
- Pages
- 841-854
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2142145420
- Cited by
- 490
- References
- 101
- FWCI
- 6.62
- 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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