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Genetic compensation: A phenomenon in search of mechanisms
Open accessAbstract
Several recent studies in a number of model systems including zebrafish, Arabidopsis, and mouse have revealed phenotypic differences between knockouts (i.e., mutants) and knockdowns (e.g., antisense-treated animals). These differences have been attributed to a number of reasons including off-target effects of the antisense reagents. An alternative explanation was recently proposed based on a zebrafish study reporting that genetic compensation was observed in egfl7 mutant but not knockdown animals. Dosage compensation was first reported in Drosophila in 1932, and genetic compensation in response to a gene knockout was first reported in yeast in 1969. Since then, genetic compensation has been documented many times in a number of model organisms; however, our understanding of the underlying molecular mechanisms remains limited. In this review, we revisit studies reporting genetic compensation in higher eukaryotes and outline possible molecular mechanisms, which may include both transcriptional and posttranscriptional processes.
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“Even in the case of a true gene knockout, however, the time required for a single cell clone to propagate might be sufficient for cells to establish genetic compensation, thereby altering expression patterns of related proteins to make up for the loss of one protein [4].”
From Advances in targeted degradation of endogenous proteins (2019) · cites this paper as [4]
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Network biology: understanding the cell's functional organization
Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903
(2008) · doi:10.1038/nrg2290 · Cited by 5,199
Functional profiling of the Saccharomyces cerevisiae genome
Giaever, G., Chu, A. M., Ni, L., Connelly, C., Riles, L., Véronneau, S., Dow, S., Lucau-Danila, A., Anderson, K., André, B., et al. (2002) · Nature · doi:10.1038/nature00935 · Cited by 4,316
Gene Action in the X-chromosome of the Mouse (Mus musculus L.)
LYON, M. F. (1961) · Nature · doi:10.1038/190372a0 · Cited by 3,978
The Transcriptional Landscape of the Mammalian Genome
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C. A., et al. (2005) · Science · doi:10.1126/science.1112014 · Cited by 3,492
Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
Raj, A., & van Oudenaarden, A. (2008) · Cell · doi:10.1016/j.cell.2008.09.050 · Cited by 2,593
Antisense Transcription in the Mammalian Transcriptome
Katayama, S., Tomaru, Y., Kasukawa, T., Waki, K., Nakanishi, M., Nakamura, M., Nishida, H., Yap, C.-S., Suzuki, M., Kawai, J., et al. (2005) · Science · doi:10.1126/science.1112009 · Cited by 1,699
MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship
Pasquinelli, A. E. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3162 · Cited by 1,642
Aquaporin-4 deletion in mice reduces brain edema after acute water intoxication and ischemic stroke
Manley, G. T., Fujimura, M., Ma, T., Noshita, N., Filiz, F., Bollen, A. W., Chan, P. H., & Verkman, A. S. (2000) · Nature Medicine · doi:10.1038/72256 · Cited by 1,501
RNA‐binding proteins and post‐transcriptional gene regulation
Glisovic, T., Bachorik, J. L., Yong, J., & Dreyfuss, G. (2008) · FEBS Letters · doi:10.1016/j.febslet.2008.03.004 · Cited by 1,398
Research works printed but not linked: 2
- Muller HJ, editor Further studies on the nature and causes of gene mutations. Proceedings of the 6th International Congress of Genetics; 1932.
- A Hagelkruys, 2014, A single allele of Hdac2 but not Hdac1 is sufficient for normal mouse brain development in the absence of its paralog, Development (Cambridge, England), 141, 604, 10.1242/dev.100487 · DOI · Paper page
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Metadata
- Authors
- El-Brolosy, M. A., & Stainier, D. Y. R.
- Affiliations
- Max Planck Institute for Heart and Lung Research (DE)
- Corresponding author
- Stainier, Didier Y. R.
- Venue
- PLOS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-07-13
- Volume
- 13
- Issue
- 7
- Pages
- e1006780
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC5509088
- OpenAlex
- W2735720719
- Cited by
- 829
- References
- 156
- Citations by year
- 2026: 60 · 2025: 84 · 2024: 89 · 2023: 91 · 2022: 114 · 2021: 109 · 2020: 120 · 2019: 104 · 2018: 54 · 2017: 4
- FWCI
- 7.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Max-Planck-Gesellschaft
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Zebrafish Biomedical Research Applications
- Keywords
- genetic compensation, dosage compensation, gene knockout, gene knockdown, off-target effects, EGFL7, transcriptional regulation, post-transcriptional regulation, molecular mechanisms
- MeSH terms
- Animals, Dosage Compensation, Genetic, Drosophila, Transcription, Genetic, Zebrafish, Arabidopsis, Models, Animal, Zebrafish Proteins, Mutant Proteins, Mice, Gene Knockdown Techniques, Gene Knockout Techniques
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