Oliver's mTOR Atlas Evidence Platform
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TORC1 and PKA activity towards ribosome biogenesis oscillates in synchrony with the budding yeast cell cycle

Guerra P, Vuillemenot LPE, van Oppen YB, Been M, Milias-Argeitis A · 2022 · Journal of Cell Science · Atlas ID GUE2022

What this study shows

Tracking the localisation of two TORC1 and PKA targets by time-lapse microscopy in hundreds of yeast cells shows that TORC1/PKA activity towards ribosome biogenesis rises and falls in step with the cell cycle even when outside conditions stay constant; mutations in upstream regulators suggest internal metabolic signals partly drive the oscillation.

Abstract

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Recent studies have revealed that the growth rate of budding yeast and mammalian cells varies during the cell cycle. By linking a multitude of signals to cell growth, the highly conserved target of rapamycin complex 1 (TORC1) and protein kinase A (PKA) pathways are prime candidates for mediating the dynamic coupling between growth and division. However, measurements of TORC1 and PKA activity during the cell cycle are still lacking.

Read the full abstract on PubMed →

At a glance

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Evidence type M Molecular — cells, biochemistry, structure Marked M because it is molecular or in-vitro work (model: Budding yeast (Saccharomyces cerevisiae), time-lapse single-cell microscopy) rather than a whole-organism health-outcome study. That is often exactly where causal biology gets established -- the code says which system the finding was shown in, and nothing about how good the work is.
Study type5 - Mechanistic / In Vitro
Model systemBudding yeast (Saccharomyces cerevisiae), time-lapse single-cell microscopy
JournalJournal of Cell Science
Year2022
Peer reviewedYes
Record last updated2026-10-01
SourceDOI 10.1242/jcs.260378 · PMID 35975715 · Free full text (PMC9658999)

Where this study fits

How this study connects to the pathway map, open questions, people and other studies in the Atlas.

Pathway relations

Supports

mTORC1 activates Ribosome biogenesis

Strongest evidence: M (Molecular — cells, biochemistry, structure) · emerging, few independent studies · Status: Proposed

plausible in people, not shown directly

Both polymerase branches are in the corpus as of 7 November 2026, and both are indirect: neither paper could show mTOR phosphorylating its target. MAY2004 writes that mTOR activates TIF-IA directly or indirectly and reports that…

People in the Atlas

  • Paolo Guerra first author · 1 study in the Atlas

    Systems biologist who tracked TORC1 and PKA signalling in single yeast cells and showed that their growth signals rise and fall with the cell cycle

  • Andreas Milias-Argeitis last author · 1 study in the Atlas

    Follows TORC1 activity through the cell cycle in single yeast cells and builds light-controlled tools to perturb it

More: 3 other authors

No profile yet: Vuillemenot LPE, van Oppen YB, Been M

Related studies

More related studies

All 212 studies on mTORC1

Extracted findings

These fields were extracted from the paper with AI assistance and have not been checked against the source. Read them as a pointer into the paper, not as curated claims; where they disagree with the curated summary above, the curated summary stands.

InterventionNone (constant conditions); upstream regulator mutants
TargetTORC1 / PKA
ModelYeast
EffectTORC1/PKA output to ribosome biogenesis oscillates with the yeast cell cycle under constant conditions

Cite this paper

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Guerra, P., Vuillemenot, L. P. E., van Oppen, Y. B., Been, M., & Milias-Argeitis, A. (2022). TORC1 and PKA activity towards ribosome biogenesis oscillates in synchrony with the budding yeast cell cycle. Journal of Cell Science. https://doi.org/10.1242/jcs.260378

@article{GUE2022,
  author       = {Guerra, P. and Vuillemenot, L. P. E. and van Oppen, Y. B. and Been, M. and Milias-Argeitis, A.},
  title        = {{TORC1 and PKA activity towards ribosome biogenesis oscillates in synchrony with the budding yeast cell cycle}},
  journal      = {Journal of Cell Science},
  year         = {2022},
  doi          = {10.1242/jcs.260378},
  note         = {PMID: 35975715},
}

Cite this Atlas record

The record is the Atlas's own work — the evidence label, the extracted findings and the links. It is cited as part of the dataset, not as the paper.

Barton, O. (2026). Oliver's mTOR Atlas (record GUE2022) [Data set]. https://mtor-atlas.org/study/GUE2022/ · Dataset DOI 10.5281/zenodo.22059963

@misc{atlas_GUE2022,
  author       = {Barton, Oliver},
  title        = {{Oliver's mTOR Atlas}, record GUE2022},
  howpublished = {Data set},
  year         = {2026},
  url          = {https://mtor-atlas.org/study/GUE2022/},
  doi          = {10.5281/zenodo.22059963}
}
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