The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Firefly Luciferase Complementation Imaging Assay for Protein-Protein Interactions in Plants
Open accessAbstract
The development of sensitive and versatile techniques to detect protein-protein interactions in vivo is important for understanding protein functions. The previously described techniques, fluorescence resonance energy transfer and bimolecular fluorescence complementation, which are used widely for protein-protein interaction studies in plants, require extensive instrumentation. To facilitate protein-protein interaction studies in plants, we adopted the luciferase complementation imaging assay. The amino-terminal and carboxyl-terminal halves of the firefly luciferase reconstitute active luciferase enzyme only when fused to two interacting proteins, and that can be visualized with a low-light imaging system. A series of plasmid constructs were made to enable the transient expression of fusion proteins or generation of stable transgenic plants. We tested nine pairs of proteins known to interact in plants, including Pseudomonas syringae bacterial effector proteins and their protein targets in the plant, proteins of the SKP1-Cullin-F-box protein E3 ligase complex, the HSP90 chaperone complex, components of disease resistance protein complex, and transcription factors. In each case, strong luciferase complementation was observed for positive interactions. Mutants that are known to compromise protein-protein interactions showed little or much reduced luciferase activity. Thus, the assay is simple, reliable, and quantitative in detection of protein-protein interactions in plants.
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
Host-Microbe Interactions: Shaping the Evolution of the Plant Immune Response
Chisholm, S. T., Coaker, G., Day, B., & Staskawicz, B. J. (2006) · Cell · doi:10.1016/j.cell.2006.02.008 · Cited by 2,957
Shen, Q.-H., Saijo, Y., Mauch, S., Biskup, C., Bieri, S., Keller, B., Seki, H., Ülker, B., Somssich, I. E., & Schulze-Lefert, P. (2007) · Science · doi:10.1126/science.1136372 · Cited by 751
Cited by
Arabidopsis calmodulin‐like proteins CML13 and CML14 interact with proteins that have IQ domains
Teresinski, H. J., Hau, B., Symonds, K., Kilburn, R., Munro, K. A., Doner, N. M., Mullen, R., Li, V. H., & Snedden, W. A. (2023) · Plant, Cell & Environment · doi:10.1111/pce.14616 · Cited by 21
The tRNA thiolation-mediated translational control is essential for plant immunity
Zheng, X., Chen, H., Deng, Z., Wu, Y., Zhong, L., Wu, C., Yu, X., Chen, Q., & Yan, S. (2024) · eLife · doi:10.7554/elife.93517 · Cited by 19
Self-citationOscipk9 interacts with ossos3 and affects salt-related transport to improve salt tolerance
Zhou, Z., Tang, W., Sun, Z., Li, J., Yang, B., Liu, Y., Wang, B., Xu, D., Yang, J., & Zhang, Y. (2023) · Plants · doi:10.3390/plants12213723 · Cited by 15
Gaertner, N. F., Maio, F., Arroyo-Mateos, M., Luna, A. P., Sabarit, B., Kwaaitaal, M., Eltschkner, S., Prins, M., Bejarano, E. R., & van den Burg, H. A. (2025) · Journal of Virology · doi:10.1128/jvi.01286-25 · Cited by 1
Metadata
- Authors
- Chen, H., Zou, Y., Shang, Y., Lin, H., Wang, Y., Cai, R., Tang, X., & Zhou, J.-M.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-12-07
- Volume
- 146
- Issue
- 2
- Pages
- 323-324
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2134030532
- Cited by
- 1,525
- References
- 2
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.