ReviewNature reviews. Genetics2014
In pursuit of design principles of regulatory sequences.
Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 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
127 citing papers in PubMed.
- UnlockingNAR genomics and bioinformatics · 2026Article
- Massively parallel characterization and predictive modelling of neuronal regulatory variation.bioRxiv : the preprint server for biology · 2026Article
- PoolParty: streamlined design of DNA sequence libraries in Python.bioRxiv : the preprint server for biology · 2026Article
- Gene therapy in cardiac and vascular diseases: a review of approaches to treat genetic and common cardiovascular diseases with novel gene-based therapeutics.Cardiovascular research · 2025Review
- Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize.Nature genetics · 2025Article
- Article
- Article
- Basal association of a transcription factor favors early gene expression.PLoS genetics · 2025Article
- Modeling and designing enhancers by introducing and harnessing transcription factor binding units.Nature communications · 2025Article
- Genomic clustering tendency of transcription factors reflects phase-separated transcriptional condensates at super-enhancers.Nucleic acids research · 2025Article
- A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity.Nucleic acids research · 2024Article
- Article
- Network Analysis of Enhancer-Promoter Interactions Highlights Cell-Type-Specific Mechanisms of Transcriptional Regulation Variation.International journal of molecular sciences · 2024Article
- Engineered mouse H1 promoter mutants with superior RNA polymerase III activity.Biochemistry and biophysics reports · 2024Article
- Deep DNAshape webserver: prediction and real-time visualization of DNA shape considering extended k-mers.Nucleic acids research · 2024Article
- Regulatory properties of transcription factors with diverse mechanistic function.PLoS computational biology · 2024Article
- E2F1 promotes cell migration in hepatocellular carcinoma via FNDC3B.FEBS open bio · 2024Article
- Rewriting regulatory DNA to dissect and reprogram gene expression.bioRxiv : the preprint server for biology · 2023Article
- Expanding the genetic toolbox for Cutaneotrichosporon oleaginosus employing newly identified promoters and a novel antibiotic resistance marker.BMC biotechnology · 2023Article
- Machine-guided design of synthetic cell type-specificbioRxiv : the preprint server for biology · 2023Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Instructions for when, where and to what level each gene should be expressed are encoded within regulatory sequences. The importance of motifs recognized by DNA-binding regulators has long been known, but their extensive characterization afforded by recent technologies only partly accounts for how regulatory instructions are encoded in the genome. Here, we review recent advances in our understanding of regulatory sequences that influence transcription and go beyond the description of motifs. We discuss how understanding different aspects of the sequence-encoded regulation can help to unravel the genotype-phenotype relationship, which would lead to a more accurate and mechanistic interpretation of personal genome sequences.
Indexed as
Identifiers
24913666What OpenQuestion holds
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.