The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Programmed cell death in the Drosophila CNS is ecdysone-regulated and coupled with a specific ecdysone receptor isoform
Abstract
At adult emergence, the ventral CNS of Drosophila shows a group of approximately 300 neurons, which are unique in that they express 10-fold higher levels of the A isoform of the ecdysone receptor (EcR-A) than do other central neurons. This expression pattern is established early in metamorphosis and persists throughout the remainder of the pupal stage. Although these cells represent a heterogeneous group of neurons, they all share the same fate of undergoing rapid degeneration after the adult emerges from the pupal case. One prerequisite for this death is the decline of ecdysteroids at the end of metamorphosis. Treatment of flies with 20hydroxyecdysone blocks the death of the cells, but only if given at least 3 hours before the normal time of degeneration. The correlation of a unique pattern of receptor isoform expression with a particular steroid-regulated fate suggests that variations in the pattern of receptor isoform expression may serve as important switches during development.
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Citations
Cites
Gene regulation by steroid hormones
Beato, M. (1989) · Cell · doi:10.1016/0092-8674(89)90237-7 · Cited by 3,383
Temporal control of puffing activity in polytene chromosomes
Ashburner, M., Chihara, C., Meltzer, P., & Richards, G. (1974) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1974.038.01.070 · Cited by 641
Ikeda, K., & Koenig, J. H. (1988) · Journal of Comparative Neurology · doi:10.1002/cne.902730312 · Cited by 92
Cited by
The head involution defective gene of Drosophila melanogaster functions in programmed cell death.
Grether, M. E., Abrams, J. M., Agapite, J., White, K., & Steller, H. (1995) · Genes & Development · doi:10.1101/gad.9.14.1694 · Cited by 699
Ecdysone receptors and their biological actions
Riddiford, L. M., Cherbas, P., & Truman, J. W. (2000) · Vitamins & Hormones · doi:10.1016/s0083-6729(00)60016-x · Cited by 605
Self-citationFlies on steroids — Drosophila metamorphosis and the mechanisms of steroid hormone action
Thummel, C. S. (1996) · Trends in Genetics · doi:10.1016/0168-9525(96)10032-9 · Cited by 489
Steroid regulated programmed cell death during Drosophila metamorphosis
Jiang, C., Baehrecke, E. H., & Thummel, C. S. (1997) · Development · doi:10.1242/dev.124.22.4673 · Cited by 391
Hormones and the physiological architecture of life history evolution
Finch, C. E., & Rose, M. R. (1995) · The Quarterly Review of Biology · doi:10.1086/418864 · Cited by 376
EcR isoforms in Drosophila: testing tissue-specific requirements by targeted blockade and rescue
Cherbas, L., Hu, X., Zhimulev, I., Belyaeva, E., & Cherbas, P. (2003) · Development · doi:10.1242/dev.00205 · Cited by 338
DCP-1, a Drosophila Cell Death Protease Essential for Development
Song, Z., McCall, K., & Steller, H. (1997) · Science · doi:10.1126/science.275.5299.536 · Cited by 332
Truman, J. W., Talbot, W. S., Fahrbach, S. E., & Hogness, D. S. (1994) · Development · doi:10.1242/dev.120.1.219 · Cited by 283
Self-citationDrosophila Ecdysone Receptor Mutations Reveal Functional Differences among Receptor Isoforms
Bender, M., Imam, F. B., Talbot, W. S., Ganetzky, B., & Hogness, D. S. (1997) · Cell · doi:10.1016/s0092-8674(00)80466-3 · Cited by 280
Self-citationDifferential patterns of apoptosis in response to aging in Drosophila
Zheng, J., Edelman, S. W., Tharmarajah, G., Walker, D. W., Pletcher, S. D., & Seroude, L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503374102 · Cited by 100
Truman, J. W., & Riddiford, L. M. (2023) · GENETICS · doi:10.1093/genetics/iyac184 · Cited by 60
Self-citationKaneko, Y., Yasanga, T., Suzuki, M., & Sakurai, S. (2011) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2011.09.013 · Cited by 26
Metamorphosis of the insect nervous system
Truman, J. W., & Williams, D. W. (2026) · Comprehensive Molecular Insect Science · doi:10.1016/b978-0-323-95424-2.00066-2
Self-citation
Metadata
- Authors
- Robinow, S., Talbot, W. S., Hogness, D. S., & Truman, J. W.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 1993-12-01
- Volume
- 119
- Issue
- 4
- Pages
- 1251-1259
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2131840309
- Cited by
- 219
- References
- 3
- FWCI
- 3.67
- Type
- journal article
- Language
- en
- Open access
- closed
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