A unified-field theory of genome organization and gene regulation
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| Main Authors: | , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866913594824720384 |
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| author | Negro, Giuseppe Semeraro, Massimiliano Cook, Perter R Marenduzzo, Davide |
| author_facet | Negro, Giuseppe Semeraro, Massimiliano Cook, Perter R Marenduzzo, Davide |
| contents | 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 -- structures variously called transcription factories, hubs, and condensates. This model allows reconciliation of 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). It also yields simple explanations of how mysterious motifs like quantitative trait loci, enhancers, and silencers work. 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 be applied to any organism. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_02861 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A unified-field theory of genome organization and gene regulation Negro, Giuseppe Semeraro, Massimiliano Cook, Perter R Marenduzzo, Davide Biological Physics Soft Condensed Matter Statistical Mechanics 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 -- structures variously called transcription factories, hubs, and condensates. This model allows reconciliation of 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). It also yields simple explanations of how mysterious motifs like quantitative trait loci, enhancers, and silencers work. 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 be applied to any organism. |
| title | A unified-field theory of genome organization and gene regulation |
| topic | Biological Physics Soft Condensed Matter Statistical Mechanics |
| url | https://arxiv.org/abs/2308.02861 |