The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A versatile platform for creating a comprehensive UAS-ORFeome library in Drosophila
Open accessAbstract
Overexpression screens are used to explore gene functions in Drosophila, but this strategy suffers from the lack of comprehensive and systematic fly strain collections and efficient methods for generating such collections. Here, we present a strategy that could be used efficiently to generate large numbers of transgenic Drosophila strains, and a collection of 1149 UAS-ORF fly lines that were created with the site-specific ΦC31 integrase method. For this collection, we used a set of 655 genes that were cloned as two variants, either as an open reading frame (ORF) with a native stop codon or with a C-terminal 3xHA tag. To streamline the procedure for transgenic fly generation, we demonstrate the utility of injecting pools of plasmids into embryos, each plasmid containing a randomised sequence (barcode) that serves as a unique identifier for plasmids and, subsequently, fly strains. We also developed a swapping technique that facilitates the rapid exchange of promoters and epitope tags in vivo, expanding the versatility of the ORF collection. The work described here serves as the basis of a systematic library of Gal4/UAS-regulated transgenes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Targeted gene expression as a means of altering cell fates and generating dominant phenotypes
Brand, A. H., & Perrimon, N. (1993) · Development · doi:10.1242/dev.118.2.401 · Cited by 9,612
A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila
Dietzl, G., Chen, D., Schnorrer, F., Su, K.-C., Barinova, Y., Fellner, M., Gasser, B., Kinsey, K., Oppel, S., Scheiblauer, S., et al. (2007) · Nature · doi:10.1038/nature05954 · Cited by 2,644
Lee, T., & Luo, L. (1999) · Neuron · doi:10.1016/s0896-6273(00)80701-1 · Cited by 2,571
An optimized transgenesis system for Drosophila using germ-line-specific φC31 integrases
Bischof, J., Maeda, R. K., Hediger, M., Karch, F., & Basler, K. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611511104 · Cited by 1,866
Self-citationHu, C.-D., Chinenov, Y., & Kerppola, T. K. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00496-3 · Cited by 1,549
Functional inactivation of genes by dominant negative mutations
Herskowitz, I. (1987) · Nature · doi:10.1038/329219a0 · Cited by 1,160
Cavener, D. R. (1987) · Nucleic Acids Research · doi:10.1093/nar/15.4.1353 · Cited by 955
Compartment boundaries and the control of Drosopfiffa limb pattern by hedgehog protein
Basler, K., & Struhl, G. (1994) · Nature · doi:10.1038/368208a0 · Cited by 833
Self-citationP[acman]: A BAC Transgenic Platform for Targeted Insertion of Large DNA Fragments in D. melanogaster
Venken, K. J. T., He, Y., Hoskins, R. A., & Bellen, H. J. (2006) · Science · doi:10.1126/science.1134426 · Cited by 800
Systematic generation of high-resolution deletion coverage of the Drosophila melanogaster genome
Parks, A. L., Cook, K. R., Belvin, M., Dompe, N. A., Fawcett, R., Huppert, K., Tan, L. R., Winter, C. G., Bogart, K. P., Deal, J. E., et al. (2004) · Nature Genetics · doi:10.1038/ng1312 · Cited by 755
Cited by
A genome-wide resource for the analysis of protein localisation in Drosophila
Sarov, M., Barz, C., Jambor, H., Hein, M. Y., Schmied, C., Suchold, D., Stender, B., Janosch, S., KJ, V. V., Krishnan, R., et al. (2016) · eLife · doi:10.7554/elife.12068 · Cited by 359
Loss-or gain-of-function mutations in ACOX1 cause axonal loss via different mechanisms
Chung, H.-L., Wangler, M. F., Marcogliese, P. C., Jo, J., Ravenscroft, T. A., Zuo, Z., Duraine, L., Sadeghzadeh, S., Li-Kroeger, D., Schmidt, R. E., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.021 · Cited by 154
Port, F., Muschalik, N., & Bullock, S. L. (2015) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.115.019083 · Cited by 87
Mitochondrial origins of the pressure to sleep
Sarnataro, R., Velasco, C. D., Monaco, N., Kempf, A., & Miesenböck, G. (2025) · Nature · doi:10.1038/s41586-025-09261-y · Cited by 62
ATF4-induced warburg metabolism drives over-proliferation in Drosophila
Sorge, S., Theelke, J., Yildirim, K., Hertenstein, H., McMullen, E., Müller, S., Altbürger, C., Schirmeier, S., & Lohmann, I. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107659 · Cited by 44
TM2D genes regulate Notch signaling and neuronal function in Drosophila
Salazar, J. L., Yang, S.-A., Lin, Y. Q., Li-Kroeger, D., Marcogliese, P. C., Deal, S. L., Neely, G. G., & Yamamoto, S. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009962 · Cited by 13
A branching gene regulatory network dictating different aspects of a neuronal cell identity
Stratmann, J., Ekman, H., & Thor, S. (2019) · Development · doi:10.1242/dev.174300 · Cited by 11
Metadata
- Authors
- Bischof, J., Björklund, M., Furger, E., Schertel, C., Taipale, J., & Basler, K.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2013-06-01
- Volume
- 140
- Issue
- 11
- Pages
- 2434-2442
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2151326362
- Cited by
- 323
- References
- 36
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
