ArticleChromosoma2014
Gene density and chromosome territory shape.
Article in Chromosoma, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 24 citations in OpenAlex.
- Modeling properties of chromosome territories using polymer filaments in diverse confinement geometries.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2024Article
- Spatiotemporal Epigenetic Control of the Histone Gene Chromatin Landscape during the Cell Cycle.Critical reviews in eukaryotic gene expression · 2023Article
- Anopheles mosquitoes reveal new principles of 3D genome organization in insects.Nature communications · 2022Article
- Article
- Epigenetic-Mediated Regulation of Gene Expression for Biological Control and Cancer: Cell and Tissue Structure, Function, and Phenotype.Results and problems in cell differentiation · 2022Review
- Nonequilibrium Biophysical Processes Influence the Large-Scale Architecture of the Cell Nucleus.Biophysical journal · 2020Article
- Radial Organization in the Mammalian Nucleus.Frontiers in genetics · 2020Review
- Chromatin Structure and Function in Mosquitoes.Frontiers in genetics · 2020Review
- Chromosome territories and the global regulation of the genome.Genes, chromosomes & cancer · 2019Review
- Higher order genomic organization and epigenetic control maintain cellular identity and prevent breast cancer.Genes, chromosomes & cancer · 2019Review
- Review
- Transcription-dependent radial distribution of TCF7L2 regulated genes in chromosome territories.Chromosoma · 2017Article
- Article
- Large-scale probabilistic 3D organization of human chromosome territories.Human molecular genetics · 2016Article
- Chromosomes at Work: Organization of Chromosome Territories in the Interphase Nucleus.Journal of cellular biochemistry · 2016Article
- Article
- Chromosome conformation of human fibroblasts grown in 3-dimensional spheroids.Nucleus (Austin, Tex.) · 2015Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Despite decades of study of chromosome territories (CT) in the interphase nucleus of mammalian cells, our understanding of the global shape and 3-D organization of the individual CT remains very limited. Past microscopic analysis of CT suggested that while many of the CT appear to be very regular ellipsoid-like shapes, there were also those with more irregular shapes. We have undertaken a comprehensive analysis to determine the degree of shape regularity of different CT. To be representative of the whole human genome, 12 different CT (~41 % of the genome) were selected that ranged from the largest (CT 1) to the smallest (CT 21) in size and from the highest (CT 19) to lowest (CT Y) in gene density. Using both visual inspection and algorithms that measure the degree of shape ellipticity and regularity, we demonstrate a strong inverse correlation between the degree of regular CT shape and gene density for those CT that are most gene-rich (19, 17, 11) and gene-poor (18, 13, Y). CT more intermediate in gene density showed a strong negative correlation with shape regularity, but not with ellipticity. An even more striking correlation between gene density and CT shape was determined for the nucleolar-associated NOR-CT. Correspondingly, striking differences in shape between the X active and inactive CT implied that aside from gene density, the overall global level of gene transcription on individual CT is also an important determinant of chromosome territory shape.
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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.