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A nuclear GFP/β‐galactosidase fusion protein as a marker for morphogenesis in living Drosophila
Open accessAbstract
A general, non‐invasive method to trace morphogenesis in living Drosophila was developed. To label specific cells, green fluorescence protein (GFP) of jellyfish Aequorea victoria was expressed by the Ga14‐UAS system. Green‐fluorescence from GFP fused to the nuclear localization signal was detectable in polytene larval tissue, but not in diploid tissue. Further fusion to bacterial β‐galactosidase produced GFPN‐lacZ, which fluoresced brightly in several diploid larval and embryonic tissues. GFPN‐lacZ was used to trace dynamic cell movement during the formation of the embryonic tracheal system. These results indicate that GFPN‐lacZ can be used to mark specific cells to study cell movement and gene expression in living animals.
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Klämbt, C. (1993) · Development · doi:10.1242/dev.117.1.163 · Cited by 332
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Luschnig, S., Bätz, T., Armbruster, K., & Krasnow, M. A. (2006) · Current Biology · doi:10.1016/j.cub.2005.11.072 · Cited by 318
Hayashi, S., Ito, K., Sado, Y., Taniguchi, M., Akimoto, A., Takeuchi, H., Aigaki, T., Matsuzaki, F., Nakagoshi, H., Tanimura, T., et al. (2002) · genesis · doi:10.1002/gene.10137 · Cited by 301
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Metadata
- Authors
- Shiga, Y., Tanaka‐Matakatsu, M., & Hayashi, S.
- Venue
- Development, Growth & Differentiation
- Publisher
- Wiley
- Published
- 1996-02
- Volume
- 38
- Issue
- 1
- Pages
- 99-106
- ISSN
- 0012-1592 (ISSN-L)
- 1440-169X
- OpenAlex
- W2124339714
- Cited by
- 270
- References
- 1
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Shiga, Y., Tanaka‐Matakatsu, M., & Hayashi, S. (1996). A nuclear GFP/β‐galactosidase fusion protein as a marker for morphogenesis in living Drosophila. Development, Growth & Differentiation. https://doi.org/10.1046/j.1440-169x.1996.00012.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
