ArticleNature2022
Control of cell state transitions.
Article in Nature, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
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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.
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Who cites it
63 citing papers in PubMed.
- Reframing cancer therapy through tumor plasticity.Nature cancer · 2026Review
- Polycomb Repressive Complex 2 drives flow-sensitive endothelial states underlying vascular inflammation and disease.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dynamic control of cell state transitions during tissue morphogenesis.The EMBO journal · 2026Review
- Cancer drug response and resistance: molecular mechanisms and combating strategies.Signal transduction and targeted therapy · 2026Review
- IFN𝛾 and IFN𝛾 mimetics prevent IFN-I-mediated TB susceptibility by regulating iron metabolism and lipid peroxidation.bioRxiv : the preprint server for biology · 2026Article
- Cell Cycle Sensing Shapes Human T Cell Fate and Exhaustion Programs.bioRxiv : the preprint server for biology · 2026Article
- Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics.Nature communications · 2026Article
- Clinical translational research on stem cell products: prospects and challenges.Signal transduction and targeted therapy · 2026Review
- Digital Twin models to address long-term treatment toxicities in children and young adults with cancer.NPJ digital medicine · 2026Review
- Dual RAF inhibition outperforms RAF-MEK combinations for suppressing ERK signaling in KRAS mutant cells.NPJ systems biology and applications · 2026Article
- Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities.NPJ systems biology and applications · 2026Article
- Cell-State-Specific Drug Responses are Associated With Differences in Signaling Network Wiring.Molecular & cellular proteomics : MCP · 2026Article
- Reconstructing and comparing signal transduction networks from single-cell protein quantification data.Bioinformatics (Oxford, England) · 2026Article
- Innate Immune-Cloaked Microgel-Coated Mesenchymal Stromal Cells Reverse Persistent Pulmonary Fibrosis via Reparative Macrophages.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Mechanomedicine: Present state and future promise.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Backtracking metabolic dynamics in single cells predicts bacterial replication in human macrophages.Nature communications · 2025Article
- reDA: differential abundance testing on scATAC-seq data using random walk with restart.Bioinformatics (Oxford, England) · 2025Article
- CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold.Nature cell biology · 2025Article
- Kinase signaling cascades: an updated mechanistic landscape.Chemical science · 2025Review
- Engineering Cell Fate with Adaptive Feedback Control.ACS synthetic biology · 2025Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Understanding cell state transitions and purposefully controlling them is a longstanding challenge in biology. Here we present cell state transition assessment and regulation (cSTAR), an approach for mapping cell states, modelling transitions between them and predicting targeted interventions to convert cell fate decisions. cSTAR uses omics data as input, classifies cell states, and develops a workflow that transforms the input data into mechanistic models that identify a core signalling network, which controls cell fate transitions by influencing whole-cell networks. By integrating signalling and phenotypic data, cSTAR models how cells manoeuvre in Waddington's landscape
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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.