The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Rapamycin and Glucose-Target of Rapamycin (TOR) Protein Signaling in Plants
Open accessAbstract
Target of rapamycin (TOR) kinase is an evolutionarily conserved master regulator that integrates energy, nutrients, growth factors, and stress signals to promote survival and growth in all eukaryotes. The reported land plant resistance to rapamycin and the embryo lethality of the Arabidopsis tor mutants have hindered functional dissection of TOR signaling in plants. We developed sensitive cellular and seedling assays to monitor endogenous Arabidopsis TOR activity based on its conserved S6 kinase (S6K) phosphorylation. Surprisingly, rapamycin effectively inhibits Arabidopsis TOR-S6K1 signaling and retards glucose-mediated root and leaf growth, mimicking estradiol-inducible tor mutants. Rapamycin inhibition is relieved in transgenic plants deficient in Arabidopsis FK506-binding protein 12 (FKP12), whereas FKP12 overexpression dramatically enhances rapamycin sensitivity. The role of Arabidopsis FKP12 is highly specific as overexpression of seven closely related FKP proteins fails to increase rapamycin sensitivity. Rapamycin exerts TOR inhibition by inducing direct interaction between the TOR-FRB (FKP-rapamycin binding) domain and FKP12 in plant cells. We suggest that variable endogenous FKP12 protein levels may underlie the molecular explanation for longstanding enigmatic observations on inconsistent rapamycin resistance in plants and in various mammalian cell lines or diverse animal cell types. Integrative analyses with rapamycin and conditional tor and fkp12 mutants also reveal a central role of glucose-TOR signaling in root hair formation. Our studies demonstrate the power of chemical genetic approaches in the discovery of previously unknown and pivotal functions of glucose-TOR signaling in governing the growth of cotyledons, true leaves, petioles, and primary and secondary roots and root hairs.
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
TOR signaling in growth and metabolism
Wullschleger, S., Loewith, R., & Hall, M. N. (2006) · Cell · doi:10.1016/j.cell.2006.01.016 · Cited by 5,787
Arabidopsis mesophyll protoplasts: a versatile cell system for transient gene expression analysis
Yoo, S.-D., Cho, Y.-H., & Sheen, J. (2007) · Nature Protocols · doi:10.1038/nprot.2007.199 · Cited by 5,083
Self-citationmTOR: from growth signal integration to cancer, diabetes and ageing
Zoncu, R., Efeyan, A., & Sabatini, D. M. (2011) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3025 · Cited by 3,941
MAP kinase signalling cascade in Arabidopsis innate immunity
Asai, T., Tena, G., Plotnikova, J., Willmann, M. R., Chiu, W.-L., Gomez-Gomez, L., Boller, T., Ausubel, F. M., & Sheen, J. (2002) · Nature · doi:10.1038/415977a · Cited by 2,726
Self-citationSUGAR SENSING AND SIGNALING IN PLANTS: Conserved and Novel Mechanisms
Rolland, F., Baena-Gonzalez, E., & Sheen, J. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105441 · Cited by 2,328
Self-citationRheb GTPase is a direct target of TSC2 GAP activity and regulates mTOR signaling
Inoki, K., Li, Y., Xu, T., & Guan, K.-L. (2003) · Genes & Development · doi:10.1101/gad.1110003 · Cited by 1,911
Thoreen, C. C., Kang, S. A., Chang, J. W., Liu, Q., Zhang, J., Gao, Y., Reichling, L. J., Sim, T., Sabatini, D. M., & Gray, N. S. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m900301200 · Cited by 1,803
Construct design for efficient, effective and high‐throughput gene silencing in plants
Wesley, S. V., Helliwell, C. A., Smith, N. A., Wang, M., Rouse, D. T., Liu, Q., Gooding, P. S., Singh, S. P., Abbott, D., Stoutjesdijk, P. A., et al. (2001) · The Plant Journal · doi:10.1046/j.1365-313x.2001.01105.x · Cited by 1,532
Brugarolas, J., Lei, K., Hurley, R. L., Manning, B. D., Reiling, J. H., Hafen, E., Witters, L. A., Ellisen, L. W., & Kaelin, W. G. (2004) · Genes & Development · doi:10.1101/gad.1256804 · Cited by 1,384
Role of the Arabidopsis Glucose Sensor HXK1 in Nutrient, Light, and Hormonal Signaling
Moore, B., Zhou, L., Rolland, F., Hall, Q., Cheng, W.-H., Liu, Y.-X., Hwang, I., Jones, T., & Sheen, J. (2003) · Science · doi:10.1126/science.1080585 · Cited by 1,181
Self-citation
Cited by
Glucose–TOR signalling reprograms the transcriptome and activates meristems
Xiong, Y., McCormack, M., Li, L., Hall, Q., Xiang, C., & Sheen, J. (2013) · Nature · doi:10.1038/nature12030 · Cited by 818
Self-citationNukarinen, E., Nägele, T., Pedrotti, L., Wurzinger, B., Mair, A., Landgraf, R., Börnke, F., Hanson, J., Teige, M., Baena-Gonzalez, E., et al. (2016) · Scientific Reports · doi:10.1038/srep31697 · Cited by 334
Differential TOR activation and cell proliferation in Arabidopsis root and shoot apexes
Li, X., Cai, W., Liu, Y., Li, H., Fu, L., Liu, Z., Xu, L., Liu, H., Xu, T., & Xiong, Y. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1618782114 · Cited by 316
Self-citationDynamic and diverse sugar signaling
Li, L., & Sheen, J. (2016) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2016.06.018 · Cited by 304
Self-citationBroeckx, T., Hulsmans, S., & Rolland, F. (2016) · Journal of Experimental Botany · doi:10.1093/jxb/erw416 · Cited by 267
Metadata
- Authors
- Xiong, Y., & Sheen, J.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 287
- Issue
- 4
- Pages
- 2836-2842
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2168925623
- Cited by
- 299
- References
- 35
- FWCI
- 4.23
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rapamycin and Glucose-Target of Rapamycin (TOR) Protein Signaling in Plants. https://app.cochat.ai/papers/10.1074/jbc.m111.300749
- The paper
- Xiong, Y., & Sheen, J. (2012). Rapamycin and Glucose-Target of Rapamycin (TOR) Protein Signaling in Plants. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m111.300749
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.