The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
A pH-driven transition of the cytoplasm from a fluid- to a solid-like state promotes entry into dormancy
Open accessAbstract
Cells can enter into a dormant state when faced with unfavorable conditions. However, how cells enter into and recover from this state is still poorly understood. Here, we study dormancy in different eukaryotic organisms and find it to be associated with a significant decrease in the mobility of organelles and foreign tracer particles. We show that this reduced mobility is caused by an influx of protons and a marked acidification of the cytoplasm, which leads to widespread macromolecular assembly of proteins and triggers a transition of the cytoplasm to a solid-like state with increased mechanical stability. We further demonstrate that this transition is required for cellular survival under conditions of starvation. Our findings have broad implications for understanding alternative physiological states, such as quiescence and dormancy, and create a new view of the cytoplasm as an adaptable fluid that can reversibly transition into a protective solid-like state.
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
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Sneddon, I. N. (1965) · International Journal of Engineering Science · doi:10.1016/0020-7225(65)90019-4 · Cited by 4,346
Global analysis of protein localization in budding yeast
Huh, W.-K., Falvo, J. V., Gerke, L. C., Carroll, A. S., Howson, R. W., Weissman, J. S., & O'Shea, E. K. (2003) · Nature · doi:10.1038/nature02026 · Cited by 4,248
Macromolecular crowding: obvious but underappreciated
Ellis, R. J. (2001) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(01)01938-7 · Cited by 2,309
Microbial seed banks: the ecological and evolutionary implications of dormancy
Lennon, J. T., & Jones, S. E. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2504 · Cited by 1,883
Kinesin superfamily motor proteins and intracellular transport
Hirokawa, N., Noda, Y., Tanaka, Y., & Niwa, S. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2774 · Cited by 1,859 · cited 1×
“In eukaryotic cells, ATP-driven motor proteins carry organelles and other cargo along cytoskeletal tracks to specific subcellular locations, thus regulating the distribution of cytoplasmic components ( Hirokawa et al., 2009 ; Roberts et al., 2013 ).”
Feature point tracking and trajectory analysis for video imaging in cell biology
Sbalzarini, I. F., & Koumoutsakos, P. (2005) · Journal of Structural Biology · doi:10.1016/j.jsb.2005.06.002 · Cited by 1,392
Zimmerman, S. B., & Trach, S. O. (1991) · Journal of Molecular Biology · doi:10.1016/0022-2836(91)90499-v · Cited by 1,337
Anomalous transport in the crowded world of biological cells
Höfling, F., & Franosch, T. (2013) · Reports on Progress in Physics · doi:10.1088/0034-4885/76/4/046602 · Cited by 1,247
Cited by
Biomolecular condensates at the nexus of cellular stress, protein aggregation disease and ageing
Alberti, S., & Hyman, A. A. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00326-6 · Cited by 1,160
Self-citationLiquid–Liquid Phase Separation in Disease
Alberti, S., & Dormann, D. (2019) · Annual Review of Genetics · doi:10.1146/annurev-genet-112618-043527 · Cited by 868
Self-citationα‐Synuclein aggregation nucleates through liquid‐liquid phase separation
Ray, S., Singh, N., Kumar, R., Patel, K., Pandey, S., Datta, D., Mahato, J., Panigrahi, R., Navalkar, A., Mehra, S., et al. (2020) · Nature Chemistry · doi:10.1038/s41557-020-0465-9 · Cited by 863
Harmon, T. S., Holehouse, A. S., Rosen, M. K., & Pappu, R. V. (2017) · eLife · doi:10.7554/elife.30294 · Cited by 713
RNA contributions to the form and function of biomolecular condensates
Roden, C., & Gladfelter, A. S. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0264-6 · Cited by 655
Metadata
- Authors
- Munder, M. C., Midtvedt, D., Franzmann, T., Nüske, E., Otto, O., Herbig, M., Ulbricht, E., Müller, P., Taubenberger, A., Maharana, S., Malinovska, L., Richter, D., Guck, J., Zaburdaev, V., & Alberti, S.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2016-03-22
- Volume
- 5
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2307399619
- Cited by
- 473
- References
- 76
- FWCI
- 22.30
- Type
- journal article
- Language
- en
- Open access
- gold
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 pH-driven transition of the cytoplasm from a fluid- to a solid-like state promotes entry into dormancy. https://app.cochat.ai/papers/10.7554/elife.09347
- The paper
- Munder, M. C., Midtvedt, D., Franzmann, T., Nüske, E., Otto, O., Herbig, M., Ulbricht, E., Müller, P., Taubenberger, A., Maharana, S., Malinovska, L., Richter, D., Guck, J., Zaburdaev, V., & Alberti, S. (2016). A pH-driven transition of the cytoplasm from a fluid- to a solid-like state promotes entry into dormancy. eLife. https://doi.org/10.7554/elife.09347
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.
