ArticleNucleic acids research2014
Explaining the correlations among properties of mammalian promoters.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A universal framework for detectingGenome research · 2021Article
- The Core Promoter Is a Regulatory Hub for Developmental Gene Expression.Frontiers in cell and developmental biology · 2021Review
- Evolution of Brain Active Gene Promoters in Human Lineage Towards the Increased Plasticity of Gene Regulation.Molecular neurobiology · 2018Article
- Core Promoter Plasticity Between Maize Tissues and Genotypes Contrasts with Predominance of Sharp Transcription Initiation Sites.The Plant cell · 2015Article
- Multiple novel promoter-architectures revealed by decoding the hidden heterogeneity within the genome.Nucleic acids research · 2014Article
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Authors and funding
2 authors.
Funding
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Abstract
Proximal promoters are fundamental genomic elements for gene expression. They vary in terms of GC percentage, CpG abundance, presence of TATA signal, evolutionary conservation, chromosomal spread of transcription start sites and breadth of expression across cell types. These properties are correlated, and it has been suggested that there are two classes of promoters: one class with high CpG, widely spread transcription start sites and broad expression, and another with TATA signals, narrow spread and restricted expression. However, it has been unclear why these properties are correlated in this way. We reexamined these features using the deep FANTOM5 CAGE data from hundreds of cell types. First, we point out subtle but important biases in previous definitions of promoters and of expression breadth. Second, we show that most promoters are rather nonspecifically expressed across many cell types. Third, promoters' expression breadth is independent of maximum expression level, and therefore correlates with average expression level. Fourth, the data show a more complex picture than two classes, with a network of direct and indirect correlations among promoter properties. By tentatively distinguishing the direct from the indirect correlations, we reveal simple explanations for them.
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Registered trials
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