ReviewBiophysical journal2017
Genomic Energy Landscapes.
Review in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Energy landscape analysis of the development of the chromosome structure across the cell cycle.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025Review
- Structural basis of differential gene expression at eQTLs loci from high-resolution ensemble models of 3D single-cell chromatin conformations.Bioinformatics (Oxford, England) · 2025Article
- The alterations of repetitive transcranial magnetic stimulation on the energy landscape of resting-state networks differ across the human cortex.Human brain mapping · 2024Article
- Article
- Three-dimensional genome architecture persists in a 52,000-year-old woolly mammoth skin sample.Cell · 2024Article
- Motorized chain models of the ideal chromosome.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- OpenNucleome for high resolution nuclear structural and dynamical modeling.bioRxiv : the preprint server for biology · 2024Article
- Polymer folding through active processes recreates features of genome organization.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Structural reorganization and relaxation dynamics of axially stressed chromosomes.Biophysical journal · 2023Article
- Compartmentalization with nuclear landmarks yields random, yet precise, genome organization.Biophysical journal · 2023Article
- Insights into the cell fate decision-making processes from chromosome structural reorganizations.Biophysics reviews · 2022Article
- Minimalistic 3D chromatin models: Sparse interactions in single cells drive the chromatin fold and form many-body units.Current opinion in structural biology · 2021Review
- Multiscale modeling of genome organization with maximum entropy optimization.The Journal of chemical physics · 2021Article
- Inferring chromosome radial organization from Hi-C data.BMC bioinformatics · 2020Article
- Article
- Microscopic Chromosomal Structural and Dynamical Origin of Cell Differentiation and Reprogramming.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Computational approaches for inferring 3D conformations of chromatin from chromosome conformation capture data.Methods (San Diego, Calif.) · 2020Review
- Conformational state switching and pathways of chromosome dynamics in cell cycle.Applied physics reviews · 2020Article
- Thermodynamic energetics underlying genomic instability and whole-genome doubling in cancer.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Energy landscape theory, developed in the context of protein folding, provides, to our knowledge, a new perspective on chromosome architecture. We review what has been learned concerning the topology and structure of both the interphase and mitotic chromosomes from effective energy landscapes constructed using Hi-C data. Energy landscape thinking raises new questions about the nonequilibrium dynamics of the chromosome and gene regulation.
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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.