ArticleNature2026
Regulatory grammar in human promoters uncovered by MPRA-based deep learning.
Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed.
- An atlas of transcription factor cooperation reveals how motif readers shape regulatory output.bioRxiv : the preprint server for biology · 2026Article
- Predictive design of tissue-specific mammalian enhancers that function in the mouse embryo.Nature genetics · 2026Article
- A deep learning model captures position-specific effects of plant regulatory sequences and suggests genes under complex regulation.Plant physiology · 2026Article
- CNEwrap: a scalable toolkit with a novel algorithm for large-scale genome-wide accelerated conserved non-coding elements detection.Nucleic acids research · 2026Article
- Decoding promoter activity from DNA sequence using pre-trained language models.Scientific reports · 2026Article
- Decoding the regulatory grammar of human gene promoters.Cell research · 2026Article
- Expression-linked promoter selection (ELiPS) engineers short, strong ubiquitous promoters for gene therapy applications.bioRxiv : the preprint server for biology · 2026Article
- Transcription initiation profiling defines the regulatory logic of astrocyte gene regulation.bioRxiv : the preprint server for biology · 2026Article
- Article
- Mapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning.Nature communications · 2026Article
- Multi-scale dissection, compaction and derivatization of mammalian developmental enhancers.bioRxiv : the preprint server for biology · 2026Article
- Applications of high-throughput reporter assays to gene regulation studies.Current opinion in structural biology · 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
21 authors.
Funding
Abstract
Promoters are the core regulatory elements of all genes. Their activity ensures the correct transcription level of each individual gene, which is essential for cellular homeostasis and responses to a wide range of signals. One of the major challenges in genomics is to build computational models that accurately predict genome-wide gene expression from the sequences of regulatory elements
Indexed as
Identifiers
What Socratic 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 Socratic graph.