ArticleCell systems2022
Noise distorts the epigenetic landscape and shapes cell-fate decisions.
Article in Cell systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Multiscale modeling primer: Focus on chromatin and epigenetics.The Journal of biological chemistry · 2026Review
- Molecular noise modulates transitions in the cell-fate differentiation landscape.NPJ systems biology and applications · 2026Article
- Transcription clusters and developmental pathways - nature, nurture, noise.Journal of cell science · 2026Review
- A fundamental trade-off among noise suppression, response sensitivity and speed in biological feedback networks.NPJ systems biology and applications · 2026Article
- Stochastic modeling of epigenetic memory.NPJ systems biology and applications · 2026Review
- Article
- Article
- Generative epigenetic landscapes map the topology and topography of cell fates.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Assessing the relative contributions of mosaic and regulatory developmental modes from single-cell trajectories.PLoS computational biology · 2025Article
- Role of frustrations in cell reprogramming.PNAS nexus · 2025Article
- Cellular patterns in Arabidopsis root epidermis emerge from gene regulatory network and diffusion dynamical feedback.NPJ systems biology and applications · 2025Article
- Towards a mathematical framework for modelling cell fate dynamics.Journal of mathematical biology · 2025Article
- Learning stochastic processes with intrinsic noise from cross-sectional biological data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dynamical systems of fate and form in development.Seminars in cell & developmental biology · 2025Review
- From genes to patterns: five key dynamical systems concepts to decode developmental regulatory mechanisms.Development (Cambridge, England) · 2025Review
- Transition paths across the epithelial-mesenchymal transition landscape are dictated by network logic.Development (Cambridge, England) · 2025Article
- Analogue information processing in NF-κB gene regulatory system.Royal Society open science · 2025Article
- Fokker-Planck diffusion maps of microglial transcriptomes reveal radial differentiation into substates associated with Alzheimer's pathology.Communications biology · 2025Article
- Uncovering underlying physical principles and driving forces of cell differentiation and reprogramming from single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Approximate Bayesian computation for inferring Waddington landscapes from single-cell data.Royal Society open science · 2024Article
Corrections and comments
- Commented on by
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Waddington epigenetic landscape has become an iconic representation of the cellular differentiation process. Recent single-cell transcriptomic data provide new opportunities for quantifying this originally conceptual tool, offering insight into the gene regulatory networks underlying cellular development. While many methods for constructing the landscape have been proposed, by far the most commonly employed approach is based on computing the landscape as the negative logarithm of the steady-state probability distribution. Here, we use simple models to highlight the complexities and limitations that arise when reconstructing the potential landscape in the presence of stochastic fluctuations. We consider how the landscape changes in accordance with different stochastic systems and show that it is the subtle interplay between the deterministic and stochastic components of the system that ultimately shapes the landscape. We further discuss how the presence of noise has important implications for the identifiability of the regulatory dynamics from experimental data. A record of this paper's transparent peer review process is included in the supplemental information.
Indexed as
Identifiers
34626539What 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.