ArticleBMC biology2018
Classifying human promoters by occupancy patterns identifies recurring sequence elements, combinatorial binding, and spatial interactions.
Article in BMC biology, 2018. 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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5 citing papers in PubMed, 14 citations in OpenAlex.
- CEMIG: prediction of the cis-regulatory motif using the de Bruijn graph from ATAC-seq.Briefings in bioinformatics · 2023Article
- From Beginning to End: Expanding the SERINC3 Interactome Through anBioinformatics and biology insights · 2022Article
- Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements.BMC bioinformatics · 2021Article
- On the NF-Y regulome as in ENCODE (2019).PLoS computational biology · 2020Article
- Transcription imparts architecture, function and logic to enhancer units.Nature genetics · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
backgroundCharacterizing recurring sequence patterns in human promoters has been a challenging undertaking even nowadays where a near-complete overview of promoters exists. However, with the more recent availability of genomic location (ChIP-seq) data, one can approach that question through the identification of characteristic patterns of transcription factor occupancy and histone modifications.
resultsBased on the ENCODE annotation and integration of sequence motifs as well as three-dimensional chromatin data, we have undertaken a re-analysis of occupancy and sequence patterns in human promoters. We identify clear groups of CAAT-box and E-box sequence motif containing promoters, as well as a group of promoters whose interaction with an enhancer appears to be mediated by CCCTC-binding factor (CTCF) binding on the promoter. We also extend our analysis to inactive promoters, showing that only a surprisingly small number of inactive promoters is repressed by the polycomb complex. We also identify combinatorial patterns of transcription factor interactions indicated by the ChIP-seq signals.
conclusionOur analysis defines subgroups of promoters characterized by stereotypic patterns of transcription factor occupancy, and combinations of specific sequence patterns which are required for their binding. This grouping provides new hypotheses concerning the assembly and dynamics of transcription factor complexes at their respective promoter groups, as well as questions on the evolutionary origin of these groups.
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