ArticleNature methods2015
Trajectories of cell-cycle progression from fixed cell populations.
Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed, 118 citations in OpenAlex.
- Multiplexed embryo profiling links cellular state to zygotic genome activation in single cells.Nature communications · 2026Article
- Cell shapes decode molecular phenotypes in image-based spatial proteomics.Cell systems · 2026Article
- Cell context-dependent in silico organelle localization in label-free microscopy images.Nature methods · 2026Article
- Volumetric mechanoplasticity couples melanoma drug tolerance to susceptibility to CD8bioRxiv : the preprint server for biology · 2026Article
- Dynamic modelling of cell cycle arrest through integrated single-cell and mathematical modelling approaches.PLoS computational biology · 2025Article
- Classification of first embryonic division stages of multiple Caenorhabditis species by deep learning.NPJ systems biology and applications · 2025Article
- Leveraging neighborhood representations of single-cell data to achieve sensitive DE testing with miloDE.Genome biology · 2024Article
- Machine learning inference of continuous single-cell state transitions during myoblast differentiation and fusion.Molecular systems biology · 2024Article
- Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells.PLoS computational biology · 2024Article
- Cell Cycle Mapping Using Multiplexed Immunofluorescence.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Understanding Cell Differentiation Through Single-Cell Approaches: Conceptual Challenges of the Systemic Approach.Methods in molecular biology (Clifton, N.J.) · 2024Article
- A global genetic interaction network by single-cell imaging and machine learning.Cell systems · 2023Article
- Sensitive cluster-free differential expression testing.bioRxiv : the preprint server for biology · 2023Article
- Spatial patterns of the cap-binding complex eIF4F in human melanoma cells.Computational and structural biotechnology journal · 2023Article
- Annotation-free learning of a spatio-temporal manifold of the cell life cycle.Biological imaging · 2023Article
- Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer.Cell systems · 2022Article
- Systematic exploration of dynamic splicing networks reveals conserved multistage regulators of neurogenesis.Molecular cell · 2022Article
- cytoNet: Spatiotemporal network analysis of cell communities.PLoS computational biology · 2022Article
- A role for endoplasmic reticulum dynamics in the cellular distribution of microtubules.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The structure of the human cell cycle.Cell systems · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
An accurate dissection of sources of cell-to-cell variability is crucial for quantitative biology at the single-cell level but has been challenging for the cell cycle. We present Cycler, a robust method that constructs a continuous trajectory of cell-cycle progression from images of fixed cells. Cycler handles heterogeneous microenvironments and does not require perturbations or genetic markers, making it generally applicable to quantifying multiple sources of cell-to-cell variability in mammalian cells.
Indexed as
Identifiers
What OpenQuestion holds
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.