The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Coping with cold: An integrative, multitissue analysis of the transcriptome of a poikilothermic vertebrate
Open accessAbstract
How do organisms respond adaptively to environmental stress? Although some gene-specific responses have been explored, others remain to be identified, and there is a very poor understanding of the system-wide integration of response, particularly in complex, multitissue animals. Here, we adopt a transcript screening approach to explore the mechanisms underpinning a major, whole-body phenotypic transition in a vertebrate animal that naturally experiences extreme environmental stress. Carp were exposed to increasing levels of cold, and responses across seven tissues were assessed by using a microarray composed of 13,440 cDNA probes. A large set of unique cDNAs (≈3,400) were affected by cold. These cDNAs included an expression signature common to all tissues of 252 up-regulated genes involved in RNA processing, translation initiation, mitochondrial metabolism, proteasomal function, and modification of higher-order structures of lipid membranes and chromosomes. Also identified were large numbers of transcripts with highly tissue-specific patterns of regulation. By unbiased profiling of gene ontologies, we have identified the distinctive functional features of each tissue's response and integrate them into a comprehensive view of the whole-body transition from one strongly adaptive phenotype to another. This approach revealed an expression signature suggestive of atrophy in cooled skeletal muscle. This environmental genomics approach by using a well studied but nongenomic species has identified a range of candidate genes endowing thermotolerance and reveals a previously unrecognized scale and complexity of responses that impacts at the level of cellular and tissue function.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes
Gasch, A. P., Spellman, P. T., Kao, C. M., Carmel-Harel, O., Eisen, M. B., Storz, G., Botstein, D., & Brown, P. O. (2000) · Molecular Biology of the Cell · doi:10.1091/mbc.11.12.4241 · Cited by 4,815
Identification of ubiquitin ligases required for skeletal muscle atrophy.
Bodine, S. C., Latres, E., Baumhueter, S., Lai, V. K.-M., Nunez, L., Clarke, B. A., Poueymirou, W. T., Panaro, F. J., Na, E., Dharmarajan, K., et al. (2001) · Science · doi:10.1126/science.1065874 · Cited by 3,521
What do we really know about the ubiquitin-proteasome pathway in muscle atrophy?
Jagoe, R. T., & Goldberg, A. L. (2001) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/00075197-200105000-00003 · Cited by 399
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Fangue, N. A., Hofmeister, M., & Schulte, P. M. (2006) · Journal of Experimental Biology · doi:10.1242/jeb.02260 · Cited by 503
The Physiology of Global Change: Linking Patterns to Mechanisms
Somero, G. N. (2012) · Annual Review of Marine Science · doi:10.1146/annurev-marine-120710-100935 · Cited by 494
Some insights into energy metabolism for osmoregulation in fish
Tseng, Y.-C., & Hwang, P.-P. (2008) · Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology · doi:10.1016/j.cbpc.2008.04.009 · Cited by 470
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Metadata
- Authors
- Gracey, A. Y., Fraser, E. J., Li, W., Fang, Y., Taylor, R. R., Rogers, J., Brass, A., & Cossins, A. R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-11-18
- Volume
- 101
- Issue
- 48
- Pages
- 16970-16975
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2097568988
- Cited by
- 461
- References
- 5
- FWCI
- 21.75
- Type
- journal article
- Language
- en
- Open access
- green
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- Gracey, A. Y., Fraser, E. J., Li, W., Fang, Y., Taylor, R. R., Rogers, J., Brass, A., & Cossins, A. R. (2004). Coping with cold: An integrative, multitissue analysis of the transcriptome of a poikilothermic vertebrate. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0403627101
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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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