ArticleDevelopment (Cambridge, England)2019
Transition state dynamics during a stochastic fate choice.
Article in Development (Cambridge, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Dynamic control of cell state transitions during tissue morphogenesis.The EMBO journal · 2026Review
- Cell Cycle Sensing Shapes Human T Cell Fate and Exhaustion Programs.bioRxiv : the preprint server for biology · 2026Article
- Early cAMP signaling orchestrates single-cell synchronicity throughout Dictyostelium development.Communications biology · 2026Article
- The Proteome ofProteomes · 2026Article
- Pattern formation along signaling gradients driven by active droplet behavior of cell swarms.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Efficient endogenous protein labelling in Dictyostelium using CRISPR/Cas9 knock-in and split fluorescent proteins.PloS one · 2025Article
- Quantifying cell-state densities in single-cell phenotypic landscapes using Mellon.Nature methods · 2024Article
- Single Cell Transcriptome Analysis During Development in Dictyostelium.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Collective signalling drives rapid jumping between cell states.Development (Cambridge, England) · 2023Article
- Clearing the slate: RNA turnover to enable cell state switching?Development (Cambridge, England) · 2023Article
- Quantifying Cell-State Densities in Single-Cell Phenotypic Landscapes using Mellon.bioRxiv : the preprint server for biology · 2023Article
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- Article
- Single-cell Senseless protein analysis reveals metastable states during the transition to a sensory organ fate.iScience · 2022Article
- Characterization of hemocytes and hematopoietic cells of a freshwater crayfish based on single-cell transcriptome analysis.iScience · 2022Article
- Developmental constraints enforce altruism and avert the tragedy of the commons in a social microbe.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Abundantly expressed class of noncoding RNAs conserved through the multicellular evolution of dictyostelid social amoebas.Genome research · 2021Article
- Theoretical study of the impact of adaptation on cell-fate heterogeneity and fractional killing.Scientific reports · 2020Article
- Article
- Heterogeneous response of endothelial cells to insulin-like growth factor 1 treatment is explained by spatially clustered sub-populations.Biology open · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The generation of multiple fates from a uniform cell population via self-organisation is a recurring feature in development and regeneration. However, for most self-organising systems, we have little understanding of the processes that allow cells to become different. One of the clearest examples of developmental self-organisation is shown by
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.