ReviewJournal of molecular biology2026
Configuring the Code: Enhancer-Promoter Arrangement and Transcriptional Regulation.
Review in Journal of molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Article
- Advances in promoter engineering strategies for enhanced recombinant protein expression in plants.Frontiers in plant science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The precise spatial and temporal regulation of gene expression through enhancer-promoter (E-P) interactions represents a fundamental mechanism underlying cellular differentiation and organismal development in multicellular eukaryotes. Despite extensive studies on enhancer-mediated gene regulation, a systematic understanding of how specific E-P configurations affect transcriptional dynamics remains incomplete. Recent advances in live-imaging, single-cell assays, and chromatin conformation capture technologies have enabled unprecedented insights into these dynamic regulatory processes by providing temporal resolution and single-cell specificity that complement traditional population-based approaches. This review examines recent findings on how E-P distance, enhancer orientation and positioning, boundary elements, and multi-way interactions collectively influence gene expression. Key insights include non-linear distance effects on gene expression, enhancer positioning-dependent transcriptional kinetics, context-dependent boundary element function, and synergistic enhancer cooperation that ensures robust developmental programs. Together, these configuration-dependent effects underscore the intricate and dynamic nature of E-P communication in precise transcriptional control across development and evolution.
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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.