ArticleMethods in molecular biology (Clifton, N.J.)2022
A Polymer Physics Model to Dissect Genome Organization in Healthy and Pathological Phenotypes.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Polymer Physics Models Reveal Structural Folding Features of Single-Molecule Gene Chromatin Conformations.International journal of molecular sciences · 2024Article
- Polymer physics models reveal structural folding features of single-molecule gene chromatin conformations.bioRxiv : the preprint server for biology · 2024Article
- Epigenetic regulatory layers in the 3D nucleus.Molecular cell · 2024Review
- Unveiling the Machinery behind Chromosome Folding by Polymer Physics Modeling.International journal of molecular sciences · 2023Review
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Authors and funding
9 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel technologies revealed a nontrivial spatial organization of the chromosomes within the cell nucleus, which includes different levels of compartmentalization and architectural patterns. Notably, such complex three-dimensional structure plays a crucial role in vital biological functions and its alterations can produce extensive rewiring of genomic regulatory regions, thus leading to gene misexpression and disease. Here, we show that theoretical and computational approaches, based on polymer physics, can be employed to dissect chromatin contacts in three-dimensional space and to predict the effects of pathogenic structural variants on the genome architecture. In particular, we discuss the folding of the human EPHA4 and the murine Pitx1 loci as case studies.
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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.