The DOI matches its Crossref record.
A quantitative characterization of the yeast heterotrimeric G protein cycle
Open accessAbstract
The yeast mating response is one of the best understood heterotrimeric G protein signaling pathways. Yet, most descriptions of this system have been qualitative. We have quantitatively characterized the heterotrimeric G protein cycle in yeast based on direct in vivo measurements. We used fluorescence resonance energy transfer to monitor the association state of cyan fluorescent protein (CFP)-Gα and Gβγ-yellow fluorescent protein (YFP), and we found that receptor-mediated G protein activation produced a loss of fluorescence resonance energy transfer. Quantitative time course and dose–response data were obtained for both wild-type and mutant cells possessing an altered pheromone response. These results paint a quantitative portrait of how regulators such as Sst2p and the C-terminal tail of α-factor receptor modulate the kinetics and sensitivity of G protein signaling. We have explored critical features of the dynamics including the rapid rise and subsequent decline of active G proteins during the early response, and the relationship between the G protein activation dose–response curve and the downstream dose–response curves for cell-cycle arrest and transcriptional induction. Fitting the data to a mathematical model produced estimates of the in vivo rates of heterotrimeric G protein activation and deactivation in yeast.
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
Cited by
Real-time monitoring of receptor and G-protein interactions in living cells
Galés, C., Rebois, R. V., Hogue, M., Trieu, P., Breit, A., Hébert, T. E., & Bouvier, M. (2005) · Nature Methods · doi:10.1038/nmeth743 · Cited by 419
Machines vs. Ensembles: Effective MAPK Signaling through Heterogeneous Sets of Protein Complexes
Suderman, R., & Deeds, E. J. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003278 · Cited by 52
Metadata
- Authors
- Yi, T.-M., Kitano, H., & Simon, M. I.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-09-05
- Volume
- 100
- Issue
- 19
- Pages
- 10764-10769
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2134704464
- Cited by
- 194
- References
- 0
- FWCI
- 4.29
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A quantitative characterization of the yeast heterotrimeric G protein cycle. https://app.cochat.ai/papers/10.1073/pnas.1834247100
- The paper
- Yi, T.-M., Kitano, H., & Simon, M. I. (2003). A quantitative characterization of the yeast heterotrimeric G protein cycle. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1834247100
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.