ReviewNature reviews. Molecular cell biology2009
Systems biology of stem cell fate and cellular reprogramming.
Review in Nature reviews. Molecular cell biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 184 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
184 citing papers in PubMed.
- Sensitivity analysis of cell fate trajectories from single-cell transcriptomics.Bioinformatics (Oxford, England) · 2026Article
- Dynamic Landscape Analysis of cell fate decisions provides predictive models of neural development from single-cell data.PLoS biology · 2026Article
- Computational blueprints for cell fate programming.Stem cell reports · 2026Review
- 4D single-cell spatial transcriptomics reveals dynamic morphogenetic gradients and regenerative domains in planarians.GigaScience · 2026Article
- Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq.Nature genetics · 2025Article
- Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2025Article
- The regulatory architecture of the primed pluripotent cell state.Nature communications · 2025Article
- Chromosome compartmentalization: causes, changes, consequences, and conundrums.Trends in cell biology · 2024Review
- Heterogeneous Evolution of Breast Cancer Cells-An Endogenous Molecular-Cellular Network Study.Biology · 2024Article
- A logic-incorporated gene regulatory network deciphers principles in cell fate decisions.eLife · 2024Article
- Charting cellular differentiation trajectories with Ricci flow.Nature communications · 2024Article
- MiR-290 Family Maintains Pluripotency and Self-Renewal by Regulating MAPK Signaling Pathway in Intermediate Pluripotent Stem Cells.International journal of molecular sciences · 2024Article
- Data-driven structural analysis of small cell lung cancer transcription factor network suggests potential subtype regulators and transition pathways.NPJ systems biology and applications · 2023Article
- Dissecting and improving gene regulatory network inference using single-cell transcriptome data.Genome research · 2023Article
- Systematic analysis and optimization of early warning signals for critical transitions using distribution data.iScience · 2023Article
- Optogenetic control of Wnt signaling models cell-intrinsic embryogenic patterning using 2D human pluripotent stem cell culture.Development (Cambridge, England) · 2023Article
- Transcription factors and splice factors - interconnected regulators of stem cell differentiation.Current stem cell reports · 2023Article
- Epiblast-like stem cells established by Wnt/β-catenin signaling manifest distinct features of formative pluripotency and germline competence.Cell reports · 2023Article
- Emergent Criticality in Coupled Boolean Networks.Entropy (Basel, Switzerland) · 2023Article
- Understanding How Cells Probe the World: A Preliminary Step towards Modeling Cell Behavior?International journal of molecular sciences · 2023Article
124 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
3 authors.
Funding
Abstract
Stem cell differentiation and the maintenance of self-renewal are intrinsically complex processes requiring the coordinated dynamic expression of hundreds of genes and proteins in precise response to external signalling cues. Numerous recent reports have used both experimental and computational techniques to dissect this complexity. These reports suggest that the control of cell fate has both deterministic and stochastic elements: complex underlying regulatory networks define stable molecular 'attractor' states towards which individual cells are drawn over time, whereas stochastic fluctuations in gene and protein expression levels drive transitions between coexisting attractors, ensuring robustness at the population level.
Indexed as
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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.