A unified-field theory of genome organization and gene regulation

<h2>Summary</h2> Our aim is to predict how often genic and non-genic promoters fire within a cell. We first review a parsimonious pan-genomic model for genome organization and gene regulation, where transcription rate is determined by proximity in 3D space of promoters to clusters containing appropriate factors and RNA polymerases. This model reconciles conflicting results indicating that regulatory mammalian networks are both simple (as over-expressing just 4 transcription factors switches cell state) and complex (as genome-wide association studies show phenotypes like cell type are determined by thousands of loci rarely encoding such factors). We then present 3D polymer simulations, and a proximity formula based on our biological model that enables prediction of transcriptional activities of all promoters in three human cell types. This simple fitting-free formula contains just one variable (distance on the genetic map to the nearest active promoter), and we suggest it can in principle be applied to any organism.

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Publication Details

Journal
iScience
Published
2024-10-22
DOI
https://doi.org/10.1016/j.isci.2024.111218
Citations
4
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.94

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article

A unified-field theory of genome organization and gene regulation

Davide Marenduzzo, Massimiliano Semeraro, Giuseppe Negro, Peter R. Cook
4 citations
iScience
Genomics and Chromatin Dynamics
0.94
article

A unified-field theory of genome organization and gene regulation

Davide Marenduzzo, Massimiliano Semeraro, Giuseppe Negro, Peter R. Cook
article en
4 citations

Abstract

<h2>Summary</h2> Our aim is to predict how often genic and non-genic promoters fire within a cell. We first review a parsimonious pan-genomic model for genome organization and gene regulation, where transcription rate is determined by proximity in 3D space of promoters to clusters containing appropriate factors and RNA polymerases. This model reconciles conflicting results indicating that regulatory mammalian networks are both simple (as over-expressing just 4 transcription factors switches cell state) and complex (as genome-wide association studies show phenotypes like cell type are determined by thousands of loci rarely encoding such factors). We then present 3D polymer simulations, and a proximity formula based on our biological model that enables prediction of transcriptional activities of all promoters in three human cell types. This simple fitting-free formula contains just one variable (distance on the genetic map to the nearest active promoter), and we suggest it can in principle be applied to any organism.

iScienceVol. 27(12)
University of Oxford (GB), Istituto Nazionale di Fisica Nucleare, Sezione di Bari (IT), University of Edinburgh (GB)
Wellcome Trust, Ministero dell’Istruzione, dell’Università e della Ricerca, European Research Council
Openalex Percentile: Top 25%
Genomics and Chromatin Dynamics
0.94
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A unified-field theory of genome organization and gene regulation — Davide Marenduzzo, Massimiliano Semeraro, et al. · iScience (2024) | TGRS Research Map | TGRS